Ramasamy Thilagavathi
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications 6
- Pharmaceutical Science top 1%
- Organic Chemistry top 5%
- Synthesis and biological activity 12
- Toxicology top 5%
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects 5
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- Computational Drug Discovery Methods 18
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- Protein Structure and Dynamics 3
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- Crystallization and Solubility Studies 3
- Enzyme Structure and Function 3
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- Natural Antidiabetic Agents Studies 3
- Co-authors
- Chelliah SelvamAsit K. ChakrabortiSanjay M. JachakPiyush GuptaArvind K. BansalRicardo L. ManceraGarima ChawlaGopalakrishnan Bulusu
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Ramasamy Thilagavathi
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Molecular Medicine 292
- Pharmaceutical Science 263
- Organic Chemistry 408
- Toxicology 47
- Pharmacology 207
Countries citing papers authored by Ramasamy Thilagavathi
This map shows the geographic impact of Ramasamy Thilagavathi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ramasamy Thilagavathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramasamy Thilagavathi more than expected).
Fields of papers citing papers by Ramasamy Thilagavathi
This network shows the impact of papers produced by Ramasamy Thilagavathi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ramasamy Thilagavathi. The network helps show where Ramasamy Thilagavathi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ramasamy Thilagavathi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 75 | |
| 3 | 2023 | 24 | |
| 4 | 2021 | 25 | |
| 5 | 2020 | 70 | |
| 6 | 2019 | 91 | |
| 7 | 2016 | 59 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 13 | |
| 10 | 2011 | 1 | |
| 11 | 2010 | 69 | |
| 12 | 2007 | 5 | |
| 13 | 2006 | 18 | |
| 14 | 2005 | 12 | |
| 15 | 2005 | 267 | |
| 16 | 2004 | 38 | |
| 17 | 2003 | 167 | |
| 18 | 2003 | 16 | |
| 19 | 2002 | 49 | |
| 20 | 2002 | 62 |
About Ramasamy Thilagavathi
Ramasamy Thilagavathi is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Applied Microbiology and Biotechnology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Synthesis and biological activity (12 papers), Curcumin's Biomedical Applications (6 papers), Inflammatory mediators and NSAID effects (5 papers), Protein Structure and Dynamics (3 papers), Crystallization and Solubility Studies (3 papers), Natural Antidiabetic Agents Studies (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Molecular Medicine (292 citations), Pharmaceutical Science (263 citations) and Organic Chemistry (408 citations). Ramasamy Thilagavathi has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Chelliah Selvam, Asit K. Chakraborti, Sanjay M. Jachak, Piyush Gupta, Arvind K. Bansal, Ricardo L. Mancera, Garima Chawla, Gopalakrishnan Bulusu, Kasturi Ranganna and Mahendran Bhaskaran. Their work appears in journals such as Journal of Medicinal Chemistry, Life Sciences and RSC Advances.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.