Yogesh Kumar
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
-
- Computational Drug Discovery Methods
Papers in
-
- Plant biochemistry and biosynthesis 3
- Cancer therapeutics and mechanisms 3
- Surgery 11
- 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)Hemant Sheth (1 shared paper)Niteen Tapuria (2 shared papers)
- 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)Frontiers in Plant Science (1 paper)
- Partner nations
- IndiaUnited KingdomGermany
In The Last Decade
Yogesh Kumar
50 papers receiving 824 citations
Peers
Comparison fields: 5 of 109
- Hepatology 114
- Computational Theory and Mathematics 168
- Developmental Neuroscience 24
- Pharmacology 50
- Infectious Diseases 104
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 174 | |
| 2 | 2009 | 75 | |
| 3 | 2007 | 55 | |
| 4 | 2018 | 50 | |
| 5 | 2008 | 50 | |
| 6 | 2009 | 45 | |
| 7 | 2007 | 29 | |
| 8 | 2018 | 26 | |
| 9 | 2019 | 26 | |
| 10 | 2015 | 25 | |
| 11 | 2003 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2022 | 22 | |
| 14 | 2018 | 17 | |
| 15 | 1989 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2019 | 15 | |
| 18 | 2010 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2022 | 11 |
About Yogesh Kumar
Yogesh Kumar is a scholar working on Molecular Biology, Surgery, Organic Chemistry, Infectious Diseases and Oncology, having authored 57 papers that have together received 850 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), Plant biochemistry and biosynthesis (3 papers), Cancer therapeutics and mechanisms (3 papers), COVID-19 Clinical Research Studies (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Hepatology (114 citations), Computational Theory and Mathematics (168 citations), Developmental Neuroscience (24 citations), Pharmacology (50 citations) and Infectious Diseases (104 citations). Yogesh Kumar has collaborated with scholars based in India, United Kingdom and Germany. Frequent co-authors include Chirag Patel, Brian R Davidson, Harvijay Singh, Kurinchi Selvan Gurusamy, Dinesh Sharma, Feroz Khan, Hemant Sheth, Niteen Tapuria, Sudeep Tandon and Viniyendra Pamecha. 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 Frontiers in Plant Science.
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.