Dr. V. MANIMARAN

@srmist.edu.in

Associate Professor, Medicine & Health Sciences
SRM COLLEGE OF PHARMACY, SRMIST.

Dr. V. MANIMARAN


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https://researchid.co/manimarv

EDUCATION

M. Pharm., P.hD.,

RESEARCH, TEACHING, or OTHER INTERESTS

Pharmaceutical Science, Pharmacy
35

Scopus Publications

1576

Scholar Citations

12

Scholar h-index

15

Scholar i10-index

Scopus Publications

  • Green RP-HPLC method for estimation of trigonelline: AQbD based development, validation, and application to nanoformulations
    Pavithra Kothapalli, Manimaran Vasanthan
    BMC Chemistry, 2026
    Trigonelline is an alkaloidal plant derived bioactive compound reported for its various pharmacological activities. Recent advances in the utilization of this compound in drug development have highlighted the importance of establishing a reproducible and efficient analytical method for estimating trigonelline (TRG) in both its pure form and formulated nano systems. Current research aims to develop and validate a green RP-HPLC method for estimating TRG by integrating Analytical Quality by Design (AQbD) with the principles of Green Analytical Chemistry. Optimization of the chromatographic conditions was done by employing a rotatable central composite design with amount of mobile phase and its flow rate selected as critical variables and tailing factor (Tf), retention time (Rt) and theoretical plates as the responses. Optimal separation was achieved using ethanol and water (40:60, v/v) on a Phenomenex C18 (250 × 4.6 mm, 5 μm) column at 264 nm, yielding a sharp, symmetric peak at 5.60 min at a flow rate of 1.5 mL/min. Developed method exhibited excellent linearity over the range of 5–15 µg/mL (r² = 0.9986) with %RSD less than 2% and LOD & LOQ were found to be 0.628 µg/mL and 1.90 µg/mL, respectively. Forced degradation studies showed 12% degradation in acidic media and 9% in alkaline media after exposure of 8 h indicating moderate susceptibility to hydrolysis. Further, the validation was performed for the developed method according to ICH Q2(R1) guidelines. A comprehensive greenness assessment was performed using AES, GAPI, AGREE, AMGS, and AGSA tools, confirming that the newly developed method demonstrates superior greenness and its suitability for sustainable routine analysis compared to existing methods.
  • Compatibility Study of Phyto Bioactive Compound with Lipid Excipients for the Development of Solid Lipid Nanoparticles
    Pavithra Kothapalli, Manimaran Vasanthan
    Bionanoscience, 2026
  • Formulation approaches for colon-specific drug delivery: conventional to nanocarrier systems
    Ashish Sriram Mishra, Bhavna Ghosh, Sivakumar Ponnurengam Malliappan, Gouranga Dutta, Manimaran Vasanthan
    Rsc Advances, 2026
    Colon-targeted drug delivery enables site-specific therapy for colonic disorders with reduced systemic effects. This review highlights conventional and advanced strategies, including stimulus-responsive, polysaccharide-based, and nanocarrier systems.
  • Heuristic strategy-assisted transfer learning for cervical cancer detection with GAN-based data augmentation
    Rajesh Arunachalam, Shabana Urooj, Noore Zahra, Suresh Babu Kondaveeti, Gurram Sunitha, Manimaran Vasanthan
    Intelligent Data Analysis, 2026
    Background Cervical cancer mostly occurs in women due to abnormal growth of the cell in cervix region. However, identifying abnormal cells is a significant issue in the computer-based diagnosis model. So, the continuous screening process is required for earlier diagnosis of cervical cancer. Utilizing deep learning techniques helps to differentiate cancer cells from normal cells. Problems The uneven distribution of data in the conventional model is challenging affects the classification results and hence reliable techniques are introduced for detecting cervical cancer. Thus, it slows down the training process and provides delayed treatment. Thus, a novel cervical cancer detection approach is implemented by transfer learning techniques that can be accomplished by various stages. Methods The different stages are (i) data collection, (ii) data augmentation, (iii) patch splitting, and (iv) cancer detection. The standard images are gathered from the publicly available resources. Next, the data augmentation is done through a Cycle Generative Adversarial Network (CycleGAN). Instead of processing the whole image, the CycleGAN model helps to process with smaller patches of images. Then, the splitting of image patches is further undergone in the cancer detection model using Transfer Learning (TL), which is the combined model of ResNet, VGG16, Xception, MobileNet, and DenseNet.Also, the fine-tuning of the weight and thresholds of classifiers is performed using the Improved Density Factor-based Honey Badger Algorithm (IDF-HBA). Finally, the outcomes are attained by taking the average of the obtained scores. Results The developed model achieves improved performance of 96.26% and 96.27% regarding accuracy and sensitivity. Significance This improved performance helps the developed model identifies the cancerous region and allows timely treatment for enhancing the survival rate of the women's. Henceforth, the earlier detection of cervical cancer helps to minimize treatment cost as well as improves the diagnosis performance.
  • Design and validation of a robust stability-indicating reversed-phase HPLC method for quantification of mesalamine in formulated drug products
    Ashish Sriram Mishra, Manimaran Vasanthan
    BMC Chemistry, 2025
    A reliable and sensitive RP-HPLC method was developed and validated for the accurate quantification of mesalamine in bulk and formulated pharmaceutical products. The analysis was carried out on a C18 column (150 mm × 4.6 mm, 5 μm) using a mobile phase of methanol: water (60:40 v/v), with a flow rate of 0.8 mL/min, and UV detection at 230 nm. Methanol: water (50:50 v/v) was used as the diluent. The method demonstrated excellent linearity across the concentration range of 10–50 µg/mL (y = 173.53x – 2435.64, R² = 0.9992), high accuracy with recoveries between 99.05% and 99.25% (%RSD < 0.32%), and outstanding precision with intra- and inter-day %RSD values below 1%. Robustness was confirmed under slight method variations (%RSD < 2%), and LOD and LOQ were found to be 0.22 µg/mL and 0.68 µg/mL, respectively. Forced degradation studies under acidic, basic, oxidative, thermal, and photolytic stress confirmed the method’s specificity and stability-indicating capability. Assay of a commercial mesalamine tablet (Mesacol®, 800 mg label claim) showed a recovery of 99.91%, validating the method’s applicability for routine quality control and regulatory compliance.
  • Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images
    Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka
    Scientific Reports, 2025
    The most dangerous form of cancer is breast cancer. This disease is life-threatening because of its aggressive nature and high death rates. Therefore, early discovery increases the patient’s survival. Mammography has recently been recommended as diagnosis technique. Mammography, is expensive and exposure the person to radioactivity. Thermography is a less invasive and affordable technique that is becoming increasingly popular. Considering this, a recent deep learning-based breast cancer diagnosis approach is executed by thermography images. Initially, thermography images are chosen from online sources. The collected thermography images are being preprocessed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and contrasting enhancement methods to improve the quality and brightness of the images. Then, the optimal binary thresholding is done to segment the preprocessed images, where optimized the thresholding value using developed Rock Hyraxes Dandelion Algorithm Optimization (RHDAO). A newly implemented deep learning structure StackVRDNet is used for further processing breast cancer diagnosing using thermography images. The segmented images are fed to the StackVRDNet framework, where the Visual Geometry Group (VGG16), Resnet, and DenseNet are employed for constructing this model. The relevant features are extracted usingVGG16, Resnet, and DenseNet, and then obtain stacked weighted feature pool from the extracted features, where the weight optimization is done with the help of RHDAO. The final classification is performed using StackVRDNet, and the diagnosis results are obtained at the final layer of VGG16, Resnet, and DenseNet. A higher scoring method is rated for ensuring final diagnosis results. Here, the parameters present within the VGG16, Resnet, and DenseNet are optimized via the RHDAO to improve the diagnosis results. The simulation outcomes of the developed model achieve 97.05% and 86.86% in terms of accuracy and precision, respectively. The effectiveness of the designed methd is being analyzed via the conventional breast cancer diagnosis models in terms of various performance measures.
  • Ecofriendly analytical quality by design aided RP-HPLC method for the estimation of mesalamine: greenness, blueness and whiteness appraisal
    Ashish Sriram Mishra, Manimaran Vasanthan
    Microchemical Journal, 2025
  • Safety assessment of resveratrol surrogate molecule 5 (RSM5): Acute and sub-acute oral toxicity studies in BALB/c mice
    Arunkumar Subramanian, T. Tamilanban, Amar Daud Iskandar Abdullah, V. Chitra, Mahendran Sekar, Gomathi Swaminathan, Inderjeet Yadav, V. Manimaran, Vinibha Rajakumari, Vetriselvan Subramaniyan
    Toxicology Reports, 2025
    Natural polyphenols have gained greater attention for their potent medicinal properties and potential benefits in addressing various health concerns. Resveratrol, a polyphenolic compound known for its therapeutic properties, has shown limitations in bioavailability, which the novel derivative resveratrol surrogate molecule (RSM5) aims to improve. The present study evaluates the oral toxicity and safety profile of a novel resveratrol derivative through acute and subacute assessments. Acute toxicity was assessed following a single oral administration, while subacute toxicity was evaluated after repeated doses over 28 days in BALB/c mice. Various physiological, biochemical, and histopathological parameters were monitored to determine potential adverse effects. The findings indicate that the RSM5 exhibits no significant toxic effects at the tested doses (15, 30, 60 mg/kg), with both acute and subacute studies showing a favourable safety profile. These results suggest that the novel resveratrol derivative may be safe for further pharmacological development, supporting its potential for therapeutic applications.
  • Formulation, interaction analysis, and invitro hepatocellular carcinoma studies of Rutin loaded lipid and polymeric nanoparticles
    Habeeb, Mohammad, Vasanthan, Manimaran
    International Journal of Nano Dimension, 2025
    Hepatocellular carcinoma is a primary liver cancer with a high mortality rate worldwide. The limited efficacy and adverse effects of conventional chemotherapy have driven the exploration of novel therapeutic approaches, including Nano medicine-based anticancer agents. In this study, the best molecule was identified based on molecular-level interaction studies with the three anticancer pathway proteins. The best molecule was encapsulated with polymer and lipid to form nanoparticles and In vitro Hepatocellular carcinoma studies were performed to measure the activity. The interaction analysis revealed that Rutin binds effectively with all three proteins: folate receptor (5IZQ), vascular endothelial growth factor (5ABD), and CD44 (4PZ3), exhibiting binding energies of -44.5015 kcal/mol, -46.8331 kcal/mol, and -42.6949 kcal/mol, respectively. These results indicate that Rutin demonstrates stronger binding affinity compared to other anticancer agents by computation studies. In the formulation, Rutin-formed lipid nanoparticles exhibited higher encapsulation efficacy and drug-loading efficiency compared to polymeric nanoparticles. Dissolution studies of rutin-loaded lipid nanoparticles reveal a gradual release profile, reaching approximately 99% over 6 hours. This sustained release ensures extended drug activity within the tumor environment, improving therapeutic effectiveness. In vitro cytotoxicity studies demonstrated that Rutin-lipid nanoparticles had superior anticancer efficacy, with an IC50 value of 80.45 ± 0.05 µg/mL, compared to 120.45 ± 0.05 µg/mL for Rutin-polymeric nanoparticles against the Hep3B cell lines. Similarly, Fluorescence-based screening studies further confirmed the remarkable anti-cancer potential of Rutin-lipid nanoparticles, primarily by inducing apoptosis in Hep3B cells. These findings suggest that Rutin-lipid nanoparticles hold promise nano-formulations for targeting Hepatocellular carcinoma.
  • Eudragit Nanofiber for Effective Coating in Colon-Targeted Drug Delivery
    Pharmakeftiki, 2025
  • In-vitro and In-vivo evaluation of doxycycline hyclate and piroxicam loaded chitosan nanoparticles into transdermal patch for healing diabetic foot ulcer
    Journal of Medicinal and Pharmaceutical Chemistry Research, 2025
  • Introduction to eye melanoma: Pathogenesis, diagnosis, and current treatment modalities
    Pavithra Kothapalli, Manimaran Vasanthan, Devesh U Kapoor
    Eye Melanoma Unveiled Cutting Edge Diagnosis Revolutionary Treatments and Advanced Drug Delivery, 2025
  • Comparative in silico human and environmental Hazard profiling of ulcerative colitis pharmaceuticals
    Ashish Sriram Mishra, Manimaran Vasanthan, Chitranshu Pandey
    Environmental Chemistry and Ecotoxicology, 2025
  • Prevention and Reduction of Risk of AD: Lifestyle Changes, Dietary Changes, Supplements, and More
    Ashish Sriram Mishra, V. Manimaran, Swati Swagatika Swain, Veera Venkata Satyanarayana Reddy Karri
    Multi Factorial Approach as A Therapeutic Strategy for the Management of Alzheimers Disease, 2025
  • Transforming Alzheimer's Treatment: Unveiling New Potential with Drug Repurposing Strategies
    Ashish Sriram Mishra, Manimaran Vasanthan, Bhavna Ghosh, Ponnurengam Malliappan Sivakumar
    Current Medicinal Chemistry, 2025
  • WTO and Its Impact on Pharmaceuticals
    E. Nirmala, V. Manimaran, Ashish Sriram Mishra, K. Pavithra
    Pharmaceutical Regulatory Affairs Principles and Practices, 2025
  • A Review of Safety, Quality, Regulation, and Delivery Approaches for Phytopharmaceuticals
    Pavithra K, Manimaran V
    Jordan Journal of Pharmaceutical Sciences, 2024
  • Drug Repurposing: A Leading Strategy for New Threats and Targets
    Ashish Sriram Mishra, Manimaran Vasanthan, Sivakumar Ponnurengam Malliappan
    ACS Pharmacology and Translational Science, 2024
  • Lipid-based nanocarriers for enhanced delivery of plant-derived bioactive molecules: A comprehensive review
    Pavithra Kothapalli, Manimaran Vasanthan
    Therapeutic Delivery, 2024
  • Cabozantinib Encapsulated Lipid and Polymeric Nanoparticles: In-depth Exploration of Molecular Interactions, Formulation Strategies, and In vitro Studies on Hepatocellular Carcinoma
    Biointerface Research in Applied Chemistry, 2024
  • Progressing nanotechnology to improve targeted cancer treatment: overcoming hurdles in its clinical implementation
    Mohammad Chehelgerdi, Matin Chehelgerdi, Omer Qutaiba B. Allela, Renzon Daniel Cosme Pecho, Narayanan Jayasankar, Devendra Pratap Rao, Tamilanban Thamaraikani, Manimaran Vasanthan, Patrik Viktor, Natrayan Lakshmaiya, Mohamed J. Saadh, Ayesha Amajd, Mabrouk A. Abo-Zaid, Roxana Yolanda Castillo-Acobo, Ahmed H. Ismail, Ali H. Amin, Reza Akhavan-Sigari
    Molecular Cancer, 2023
  • In silico Evaluation and Neuroprotective Effect of Jasmonic Acid on Sleep Deprivation Induced Alzheimer’s in Zebrafish
    Tamilanban Thamaraikani, Vijay Babu Anandan, Manasa Karnam, Manimaran Vasanthan, Gayathiri Kichenamurthy
    Current Bioactive Compounds, 2023
  • Nanogels as novel drug nanocarriers for CNS drug delivery
    V. Manimaran, R. P. Nivetha, T. Tamilanban, J. Narayanan, Subramaniyan Vetriselvan, Neeraj Kumar Fuloria, Suresh V. Chinni, Mahendran Sekar, Shivkanya Fuloria, Ling Shing Wong, Anupam Biswas, Gobinath Ramachawolran, Siddharthan Selvaraj
    Frontiers in Molecular Biosciences, 2023
  • Nanoemulsions: A better approach for antidiabetic drug delivery
    V. Manimaran, Ponnurengam Malliappan Sivakumar, J. Narayanan, Shanmugam Parthasarathi, Pranav Kumar Prabhakar
    Current Diabetes Reviews, 2021
  • Nanoparticle as a powerful tool to penetrate the blood-brain barrier in the treatment of neurodegenerative disease: Focus on recent advances
    S. Kalaiselvi, V. Manimaran, N Damodharan
    Research Journal of Pharmacy and Technology, 2020
  • Heat transfer improvement by arrangement of cylindrical phase change material thermal storage
    International Journal of Mechanical Engineering and Technology, 2018
  • Development of fast-dissolving tablets of amlodipine besylate by solid dispersion technology using poloxamer 407 and poloxamer 188
    Manimaran V, Damodharan N
    Asian Journal of Pharmaceutical and Clinical Research, 2017
  • Development of fast dissolving tablets of nisoldipine by solid dispersion technology using poloxamer 407 and poloxamer 188
    Manimaran Vasanthan, Damodharan Narayanasamy
    Journal of Young Pharmacists, 2016
  • Formulation and evaluation of naproxen-eudragit® RS 100 nanosuspension using 32 factorial design
    International Journal of Pharmacy and Pharmaceutical Sciences, 2014
  • Formulation and In-vitro evaluation of sustained release matrix tablets of losartan potassium
    Research Journal of Pharmaceutical Biological and Chemical Sciences, 2014
  • Formulation and evaluation of modafinil fast dissolving tablets by sublimation technique
    Journal of Chemical and Pharmaceutical Sciences, 2013
  • Formulation and evaluation of rizatriptan benzoate orally disintegrating tablets
    International Journal of Drug Development and Research, 2012
  • Development and characterization of floating tablets of atenolol
    Der Pharmacia Lettre, 2012
  • Formulation and evaluation of aceclofenac compression coated tablets for colon drug delivery
    Research Journal of Pharmaceutical Biological and Chemical Sciences, 2012
  • Formulation development and evaluation of delayed release doxycycline tablets
    International Journal of Pharmacy and Pharmaceutical Sciences, 2010

RECENT SCHOLAR PUBLICATIONS

  • Heuristic strategy-assisted transfer learning for cervical cancer detection with GAN-based data augmentation
    R Arunachalam, S Urooj, N Zahra, SB Kondaveeti, G Sunitha, ...
    Intelligent Data Analysis, 1088467X261415695 , 2026
    2026
  • Green RP-HPLC method for estimation of trigonelline: AQbD based development, validation, and application to nanoformulations
    P Kothapalli, M Vasanthan
    BMC chemistry , 2026
    2026
    Citations: 1
  • Formulation approaches for colon-specific drug delivery: conventional to nanocarrier systems
    AS Mishra, B Ghosh, SP Malliappan, G Dutta, M Vasanthan
    RSC advances 16 (11), 10022-10059 , 2026
    2026
    Citations: 5
  • Introduction to eye melanoma: Pathogenesis, diagnosis, and current treatment modalities
    P Kothapalli, M Vasanthan, DU Kapoor
    Eye Melanoma Unveiled, 1-20 , 2026
    2026
  • Compatibility Study of Phyto Bioactive Compound with Lipid Excipients for the Development of Solid Lipid Nanoparticles
    P Kothapalli, M Vasanthan
    BioNanoScience 16 (1), 1 , 2026
    2026
    Citations: 1
  • Design and validation of a robust stability-indicating reversed-phase HPLC method for quantification of mesalamine in formulated drug products
    AS Mishra, M Vasanthan
    BMC chemistry 19 (1), 303 , 2025
    2025
  • Comparative in silico human and environmental Hazard profiling of ulcerative colitis pharmaceuticals
    AS Mishra, M Vasanthan, C Pandey
    Environmental Chemistry and Ecotoxicology , 2025
    2025
  • Ecofriendly analytical quality by design aided RP-HPLC method for the estimation of mesalamine: greenness, blueness and whiteness appraisal
    AS Mishra, M Vasanthan
    Microchemical Journal 215, 114258 , 2025
    2025
    Citations: 2
  • Safety assessment of resveratrol surrogate molecule 5 (RSM5): Acute and sub-acute oral toxicity studies in BALB/c mice
    A Subramanian, T Tamilanban, ADI Abdullah, V Chitra, M Sekar, ...
    Toxicology Reports 14, 101956 , 2025
    2025
    Citations: 3
  • Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images
    AYA Bani Ahmad, JA Alzubi, M Vasanthan, SB Kondaveeti, J Shreyas, ...
    Scientific Reports 15 (1), 13605 , 2025
    2025
    Citations: 19
  • Eudragit Nanofiber for Effective Coating in Colon-Targeted Drug Delivery
    AS Mishra, K Pavitra, MV Manimaran
    Pharmakeftiki 37 (1) , 2025
    2025
  • Formulation, interaction analysis, and invitro hepatocellular carcinoma studies of Rutin loaded lipid and polymeric nanoparticles
    M Habeeb, M Vasanthan
    International Journal of Nano Dimension 16 (2 (April 2025)) , 2025
    2025
    Citations: 6
  • Prevention and Reduction of Risk of AD: Lifestyle Changes, Dietary Changes, Supplements, and More
    AS Mishra, V Manimaran, SS Swain, VVSR Karri
    Multi-Factorial Approach as a Therapeutic Strategy for the Management of … , 2025
    2025
  • Reviewing the literature of 3D printing of bones and cartilage: Evidence and practice
    A Subramanian, J Mohanbabu, T Srinivasan, V Subramaniyan, M Sekar, ...
    Annals of 3D Printed Medicine 16, 100180 , 2024
    2024
    Citations: 1
  • Enhancing pharmaceutical product quality with a comprehensive Corrective and Preventive Actions (CAPA) framework: From reactive to proactive
    T Arunagiri, KP Kannaiah, M Vasanthan, KP Kannaiah
    Cureus 16 (9) , 2024
    2024
    Citations: 10
  • A comprehensive review on solid lipid nanoparticles as a carrier for oral absorption of phyto-bioactives
    V Gokul, P Kothapalli, M Vasanthan
    Cureus 16 (8) , 2024
    2024
    Citations: 9
  • The role of quality assurance in clinical trials: safeguarding data integrity and compliance
    B Prasanna, P Kothapalli, M Vasanthan
    Cureus 16 (8) , 2024
    2024
    Citations: 12
  • A review of safety, quality, regulation, and delivery approaches for phytopharmaceuticals
    K Pavithra, V Manimaran
    Jordan Journal of Pharmaceutical Sciences 17 (2), 316-332 , 2024
    2024
    Citations: 16
  • Drug repurposing: A leading strategy for new threats and targets
    AS Mishra, M Vasanthan, SP Malliappan
    ACS pharmacology & translational science 7 (4), 915-932 , 2024
    2024
    Citations: 48
  • Lipid-based nanocarriers for enhanced delivery of plant-derived bioactive molecules: a comprehensive review
    P Kothapalli, M Vasanthan
    Therapeutic Delivery 15 (2), 135-155 , 2024
    2024
    Citations: 23

MOST CITED SCHOLAR PUBLICATIONS

  • Progressing nanotechnology to improve targeted cancer treatment: overcoming hurdles in its clinical implementation
    M Chehelgerdi, M Chehelgerdi, OQB Allela, RDC Pecho, N Jayasankar, ...
    Molecular cancer 22 (1), 169 , 2023
    2023
    Citations: 1115
  • Nanogels as novel drug nanocarriers for CNS drug delivery
    V Manimaran, RP Nivetha, T Tamilanban, J Narayanan, S Vetriselvan, ...
    Frontiers in molecular biosciences 10, 1232109 , 2023
    2023
    Citations: 125
  • Drug repurposing: A leading strategy for new threats and targets
    AS Mishra, M Vasanthan, SP Malliappan
    ACS pharmacology & translational science 7 (4), 915-932 , 2024
    2024
    Citations: 48
  • Enhancement of dissolution rate of glibenclamide by solid dispersion technology
    V Manimaran, N Damodharan, M Mothilal, K Rajkumar, RM Chalackal
    International journal of current pharmaceutical research 2 (3), 14-17 , 2010
    2010
    Citations: 32
  • Formulation development and evaluation of delayed release doxycycline tablets
    N Damodharan, V Manimaran, B Sravanthi
    International Journal of Pharmacy and Pharmaceutical Sciences 2 (1), 116-9 , 2010
    2010
    Citations: 24
  • Lipid-based nanocarriers for enhanced delivery of plant-derived bioactive molecules: a comprehensive review
    P Kothapalli, M Vasanthan
    Therapeutic Delivery 15 (2), 135-155 , 2024
    2024
    Citations: 23
  • Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images
    AYA Bani Ahmad, JA Alzubi, M Vasanthan, SB Kondaveeti, J Shreyas, ...
    Scientific Reports 15 (1), 13605 , 2025
    2025
    Citations: 19
  • A review of safety, quality, regulation, and delivery approaches for phytopharmaceuticals
    K Pavithra, V Manimaran
    Jordan Journal of Pharmaceutical Sciences 17 (2), 316-332 , 2024
    2024
    Citations: 16
  • Optimisation and Characetrisation of Chitosan microspheres of aceclofenac
    M Mothilal, M Nagalakshmi, PS Swati, N Damodharan, KS Lakshmi
    Int. J. Pharma Sci. Res 3, 305-315 , 2012
    2012
    Citations: 14
  • DEVELOPMENT OF FAST-DISSOLVING TABLETS OF AMLODIPINE BESYLATE BY SOLID DISPERSION TECHNOLOGY USING POLOXAMER 407 AND POLOXAMER 188
    DN Manimaran V
    Asian Journal of Pharmaceutical and Clinical Research 10 (7), 131-141 , 2017
    2017
    Citations: 13
  • The role of quality assurance in clinical trials: safeguarding data integrity and compliance
    B Prasanna, P Kothapalli, M Vasanthan
    Cureus 16 (8) , 2024
    2024
    Citations: 12
  • Development of Fast Dissolving Tablets of Nisoldipine by Solid Dispersion Technology using Poloxamer 407 and Poloxamer 188.
    M Vasanthan, D Narayanasamy
    Journal of Young Pharmacists 8 (4) , 2016
    2016
    Citations: 12
  • Formulation and evaluation of modafinil fast dissolving tablets by sublimation technique
    M Mothilal, AH Kumar, MC Krishna, V Manasa, V Manimaran, ...
    J Chem Pharm Sci 6 (3), 147-54 , 2013
    2013
    Citations: 12
  • Formulation and evaluation of naproxeneudragit® RS 100 nanosuspension using 32 factorial design
    M Mothilal, MC Krishna, SPS Teja, V Manimaran, N Damodharan
    Int J Pharm Pharm Sci 6 (7), 449-55 , 2014
    2014
    Citations: 11
  • Enhancing pharmaceutical product quality with a comprehensive Corrective and Preventive Actions (CAPA) framework: From reactive to proactive
    T Arunagiri, KP Kannaiah, M Vasanthan, KP Kannaiah
    Cureus 16 (9) , 2024
    2024
    Citations: 10
  • A comprehensive review on solid lipid nanoparticles as a carrier for oral absorption of phyto-bioactives
    V Gokul, P Kothapalli, M Vasanthan
    Cureus 16 (8) , 2024
    2024
    Citations: 9
  • Nanoemulsions: A better approach for antidiabetic drug delivery
    V Manimaran, PM Sivakumar, J Narayanan, S Parthasarathi, ...
    Current Diabetes Reviews 17 (4), 486-495 , 2021
    2021
    Citations: 9
  • Review on Methods, Applications and Role of gold nano particles in Cancer Therapy
    CV Rao, V Manimaran, N Damodharan
    Research Journal of Pharmacy and Technology 13 (8), 3963-3968 , 2020
    2020
    Citations: 8
  • Nanoparticle as a powerful tool to penetrate the Blood-brain barrier in the treatment of Neurodegenerative disease: Focus on recent advances
    S Kalaiselvi, V Manimaran, N Damodharan
    Research Journal of Pharmacy and Technology 13 (5), 2135-2143 , 2020
    2020
    Citations: 8
  • Formulation and evaluation of rizatriptan benzoate orally disintegrating tablets
    M Mothilal, K Srikanth, BG Sivagirish, K Gnanendra, V Manimaran, ...
    Int J Drug Dev Res 4, 117-23 , 2012
    2012
    Citations: 7