Rahul D. Jawarkar
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Pharmacology
- Pharmacology top 10%
- Co-authors
- Vijay H. MasandTaïbi Ben HaddaDevidas T. MahajanMagdi E. A. ZakiSami A. Al‐HussainSuraj N. MaliAbdul SamadArabinda Ghosh
- Topics
- Computational Drug Discovery Methods (37 papers)Synthesis and biological activity (27 papers)HIV/AIDS drug development and treatment (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsMolecules
- Partner nations
- IndiaSaudi ArabiaIraq
In The Last Decade
Rahul D. Jawarkar
72 papers receiving 559 citations
Peers
Comparison fields: 5 of 83
- Organic Chemistry 281
- Computational Theory and Mathematics 236
- Molecular Biology 178
- Pharmacology 61
- Pharmacology 57
Countries citing papers authored by Rahul D. Jawarkar
This map shows the geographic impact of Rahul D. Jawarkar'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 Rahul D. Jawarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul D. Jawarkar more than expected).
Fields of papers citing papers by Rahul D. Jawarkar
This network shows the impact of papers produced by Rahul D. Jawarkar. 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 Rahul D. Jawarkar. The network helps show where Rahul D. Jawarkar may publish in the future.
Co-authorship network of co-authors of Rahul D. Jawarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul D. Jawarkar. A scholar is included among the top collaborators of Rahul D. Jawarkar 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 Rahul D. Jawarkar. Rahul D. Jawarkar 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 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | Docking Studies of few C-3 Substituted Azapteridines as Hepatitis C Virus RNA-Dependent RNA Polymerase inhibitors | 2 |
| 19 | Exploring the mechanism of Zanamivir as Anti-AIV agent by Molecular Docking and receptor based electrostatic analysis | 1 |
| 20 | 3D-QSAR Study on Coumarin Analogues as Potent Inhibitors of MAO-B using a COMFA Approach. | 9 |
About Rahul D. Jawarkar
Rahul D. Jawarkar is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Pharmacology, having authored 75 papers that have together received 568 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Synthesis and biological activity (27 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Computational Theory and Mathematics (236 citations), Organic Chemistry (281 citations) and Toxicology (26 citations). Rahul D. Jawarkar has collaborated with scholars based in India, Saudi Arabia and Iraq. Frequent co-authors include Vijay H. Masand, Taïbi Ben Hadda, Devidas T. Mahajan, Magdi E. A. Zaki, Sami A. Al‐Hussain, Suraj N. Mali, Abdul Samad, Arabinda Ghosh, Vesna Rastija and Nobendu Mukerjee. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.
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.