Ministry of Education
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Prof Raju Kamaraj

vidwan id: 475504
Male

Professor, Department of Pharmacognosy - KTR
S R M Institute of Science & Technology, Chennai

Google Scholar Icon 57225223762

Expertise

  • Pharmacology and Pharmacy

Publications

Total Articles 35
Books 0
Proceedings 0

Publications

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Scopus

Citations 38
h-index 3

CrossRef

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Citations 7
h-index 1
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Bio

Pharmaceutical Regulatory Affairs

Personal Details

  • Male
  • Professor , S R M Institute of Science & Technology, Chennai
  • SRM College of Pharmacy
PhD
Other Institute 2003
Professor Nov 2011 – Present
S R M Institute of Science & Technology, Chennai | Department of Pharmacognosy - KTR

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Co-Authors (6)

Manikandan

Prof Manikandan Krishnan

S R M Institute of Science & Technology, Chennai

Manikandan

Mr Manikandan K

S R M Institute of Science & Technology, Chennai

Murugaanandam

Dr Murugaanandam S

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Scholarly Work

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Scholarly Publications

Interactions of HRLCMS-QTOF Detected Plant Metabolites of Abrus precatorius L. Seeds with EGFR and the Effect of Classically Detoxification Process

Open Access
Article
Toxicology International. Year: 2024. Volume: 31 , Issue: 2 , Pages: 181-218 .
Authors: Vikram E.N.T.;Kamaraj R.;Ilavarasan R.
DOI 10.18311/ti/2024/v31i2/35698

Clinical implications of dual therapy of acarbose plus myo-inositol on the thyroid profile in women with polycystic ovary syndrome

Open Access
Article
Year: 2024. Volume: 12 , Issue: 6 , Pages: 1187-1195 .
Authors: Andavar M.;Kamaraj R.;Vijayakumar T.M.;Murugesan A.
DOI 10.56499/jppres24.2001_12.6.1187

A data-driven approach utilizing a raw material database and machine learning tools to predict the disintegration time of orally fast-disintegrating tablet formulations

Open Access
Article
Pharmacia. Year: 2024. Volume: 71 , Pages: 1-12 .
Authors: Navyaja Kota ., Raju Kamaraj ., S. Murugaanandam ., Mohan Bharathi ., T. Sudheer Kumar .,
DOI 10.3897/PHARMACIA.71.E122507

A data-driven approach to predict the in vitro dissolution time of sustained-release tablets using raw material databases and machine learning algorithms

Open Access
Article
Pharmacia. Year: 2024. Volume: 71 , Pages: 1-7 .
Authors: M. Bharathi ., Raju Kamaraj ., S. Murugaanandam ., Kota Navyaja ., T. Sudheer Kumar .,
DOI 10.3897/PHARMACIA.71.E122772

Effectiveness of dual combination therapy of acarbose plus metformin and acarbose plus myo-inositol in ameliorating the metabolic and endocrinologic complications of polycystic ovary syndrome – A randomized controlled trial

Open Access
Article
Year: 2024. Volume: 300 , Pages: 6-11 .
Authors: Andavar M.;Kamaraj R.;Mahalingam Vijayakumar T.;Murugesan A.
DOI 10.1016/j.ejogrb.2024.07.001

Therapeutic potential of acarbose in ameliorating the metabolic and endocrinological complications of polycystic ovarian syndrome: a review

Open Access
Review
Current Medical Research and Opinion. Year: 2024. Volume: 40 , Issue: 7 , Pages: 1123-1135 .
Authors: Andavar M.;Kamaraj R.;Vijayakumar T.M.;Murugesan A.
DOI 10.1080/03007995.2024.2358237

Compliance challenges in clinical research organizations: A USFDA inspection retrospective

Open Access
Article
Year: 2024. Volume: 12 , Issue: 1 , Pages: 91-98 .
Authors: Kumar T.S.;Kamaraj R.
DOI 10.56499/jppres23.1782_12.1.91

In-vitro Antioxidant and Cytotoxic Effects of Physalis minima Linn. in HeLa Cell Lines Against Cervical Cancer

Open Access
Article
Current Trends in Biotechnology and Pharmacy. Year: 2024. Volume: 18 , Issue: 1 , Pages: 1581-1585 .
Authors: Velemurugan S.;Sethuraman S.P.;Kamaraj R.
DOI 10.5530/ctbp.2024.1.6
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