Thirumurthy Madhavan
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Food Science top 10%
- Oncology
- Co-authors
- Changdev G. GadheGugan KothandanSeung Joo ChoHonglae SohnPalaniyandi VelusamyS. Periyar SelvamHyun Woo ParkBalachandran Manavalan
- Topics
- Computational Drug Discovery Methods (37 papers)Monoclonal and Polyclonal Antibodies Research (11 papers)Synthesis and biological activity (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEuropean Journal of Pharmacology
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Thirumurthy Madhavan
61 papers receiving 671 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 289
- Computational Theory and Mathematics 193
- Organic Chemistry 96
- Food Science 90
- Oncology 88
Countries citing papers authored by Thirumurthy Madhavan
This map shows the geographic impact of Thirumurthy Madhavan'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 Thirumurthy Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thirumurthy Madhavan more than expected).
Fields of papers citing papers by Thirumurthy Madhavan
This network shows the impact of papers produced by Thirumurthy Madhavan. 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 Thirumurthy Madhavan. The network helps show where Thirumurthy Madhavan may publish in the future.
Co-authorship network of co-authors of Thirumurthy Madhavan
This figure shows the co-authorship network connecting the top 25 collaborators of Thirumurthy Madhavan. A scholar is included among the top collaborators of Thirumurthy Madhavan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thirumurthy Madhavan. Thirumurthy Madhavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 27 | |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 21 | |
| 18 | 47 | |
| 19 | 7 | |
| 20 | 6 |
About Thirumurthy Madhavan
Thirumurthy Madhavan is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 72 papers that have together received 694 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Synthesis and biological activity (10 papers). The work is most often cited by research in Computational Theory and Mathematics (193 citations), Pharmacology (80 citations) and Complementary and alternative medicine (47 citations). Thirumurthy Madhavan has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Changdev G. Gadhe, Gugan Kothandan, Seung Joo Cho, Honglae Sohn, Palaniyandi Velusamy, S. Periyar Selvam, Hyun Woo Park, Balachandran Manavalan, Young-Jun Jeon and Cheol Hee Choi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Pharmacology.
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.