Yogesh Kumar
Impact in
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- Computational Drug Discovery Methods
- Hepatology top 10%
Papers in
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- Plant biochemistry and biosynthesis 3
- Cancer therapeutics and mechanisms 3
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- Synthesis and biological activity 8
- Co-authors
- Chirag Patel (2 shared papers)Brian R Davidson (7 shared papers)Harvijay Singh (1 shared paper)Kurinchi Selvan Gurusamy (4 shared papers)Dinesh Sharma (3 shared papers)Feroz Khan (13 shared papers)Niteen Tapuria (2 shared papers)Hemant Sheth (1 shared paper)
- Journals
- Cochrane Database of Systematic Reviews (3 papers)European Journal of Gastroenterology & Hepatology (2 papers)Journal of Environmental Science and Health Part B (2 papers)New Journal of Chemistry (1 paper)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Yogesh Kumar
51 papers receiving 841 citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 162
- Hepatology 63
- Infectious Diseases 96
- Cancer Research 74
- Pharmacology 45
Countries citing papers authored by Yogesh Kumar
This map shows the geographic impact of Yogesh Kumar'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 Yogesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesh Kumar more than expected).
Fields of papers citing papers by Yogesh Kumar
This network shows the impact of papers produced by Yogesh Kumar. 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 Yogesh Kumar. The network helps show where Yogesh Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Yogesh Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 177 | |
| 2 | 2009 | 75 | |
| 3 | 2007 | 55 | |
| 4 | 2018 | 52 | |
| 5 | 2008 | 50 | |
| 6 | 2009 | 45 | |
| 7 | 2007 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 27 | |
| 10 | 2015 | 26 | |
| 11 | 2017 | 24 | |
| 12 | 2003 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2018 | 19 | |
| 15 | 1989 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2010 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2022 | 11 |
About Yogesh Kumar
Yogesh Kumar is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Infectious Diseases and Computational Theory and Mathematics, having authored 58 papers that have together received 866 indexed citations. Recurring topics across this work include Synthesis and biological activity (8 papers), Computational Drug Discovery Methods (6 papers), Insect and Pesticide Research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Agricultural Economics and Practices (3 papers), COVID-19 Clinical Research Studies (3 papers), Plant biochemistry and biosynthesis (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (162 citations), Hepatology (63 citations), Infectious Diseases (96 citations), Cancer Research (74 citations) and Pharmacology (45 citations). Yogesh Kumar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Chirag Patel, Brian R Davidson, Harvijay Singh, Kurinchi Selvan Gurusamy, Dinesh Sharma, Feroz Khan, Niteen Tapuria, Hemant Sheth, Mahendra P. Darokar and Sudeep Tandon. Their work appears in journals such as Cochrane Database of Systematic Reviews, European Journal of Gastroenterology & Hepatology, Journal of Environmental Science and Health Part B, New Journal of Chemistry and The Journal of Steroid Biochemistry and Molecular Biology.
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.