Jitender Verma
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Synthesis and biological activity
- Click Chemistry and Applications
Papers in
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- Protein Structure and Dynamics 2
- Biochemical and Molecular Research 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Evans C. Coutinho (7 shared papers)Vijay M. Khedkar (3 shared papers)Prabha Garg (1 shared paper)Amitabha Mukhopadhyay (3 shared papers)Ruchir Rastogi (4 shared papers)Alpeshkumar K. Malde (4 shared papers)Kuldip Upadhyay (1 shared paper)Atul Manvar (1 shared paper)
In The Last Decade
Jitender Verma
17 papers receiving 947 citations
Jitender Verma's Hit Papers
Peers
Comparison fields: 5 of 111
- Computational Theory and Mathematics 501
- Organic Chemistry 296
- Molecular Biology 420
- Toxicology 20
- Pharmacology 98
Countries citing papers authored by Jitender Verma
This map shows the geographic impact of Jitender Verma'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 Jitender Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitender Verma more than expected).
Fields of papers citing papers by Jitender Verma
This network shows the impact of papers produced by Jitender Verma. 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 Jitender Verma. The network helps show where Jitender Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jitender Verma, 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 | 3D-QSAR in Drug Design - A Review Hit paper breakdown → | 2010 | 584 |
| 2 | 2005 | 102 | |
| 3 | 2008 | 64 | |
| 4 | 2015 | 44 | |
| 5 | 2017 | 36 | |
| 6 | 2016 | 24 | |
| 7 | 2010 | 23 | |
| 8 | 2008 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2008 | 18 | |
| 11 | To evaluate the values of electrical conductivity and growth parameters of apple saplings in nursery fields | 2015 | 11 |
| 12 | 2009 | 10 | |
| 13 | 2020 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 0 |
About Jitender Verma
Jitender Verma is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Epidemiology and Cell Biology, having authored 18 papers that have together received 974 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Cellular transport and secretion (4 papers), Trypanosoma species research and implications (4 papers), Synthesis and biological activity (3 papers), Research on Leishmaniasis Studies (3 papers), Protein Structure and Dynamics (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (501 citations), Organic Chemistry (296 citations), Molecular Biology (420 citations), Toxicology (20 citations) and Pharmacology (98 citations). Jitender Verma has collaborated with scholars based in India, Australia and Germany. Frequent co-authors include Evans C. Coutinho, Vijay M. Khedkar, Prabha Garg, Amitabha Mukhopadhyay, Ruchir Rastogi, Alpeshkumar K. Malde, Kuldip Upadhyay, Atul Manvar, Anamik Shah and Santosh A. Khedkar. Their work appears in journals such as PLoS Pathogens, Journal of Cell Science, Journal of Molecular Modeling, Journal of Chemical Information and Modeling and European Journal of Medicinal Chemistry.
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.