Vinod D. Kumar
Impact in
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- Malaria Research and Control
- Research on Leishmaniasis Studies
- Mosquito-borne diseases and control
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 3
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Biomedical Text Mining and Ontologies 2
- Genomics and Phylogenetic Studies 1
- Co-authors
- James R. Brown (3 shared papers)Samiul Hasan (2 shared papers)Cristina de Cózar (1 shared paper)José Garcia-Bustos (1 shared paper)Lon R. Cardon (1 shared paper)Dana E. Vanderwall (1 shared paper)Emilio Fernández Álvarez (1 shared paper)Catherine E. Peishoff (1 shared paper)
- Journals
- Scientific Reports (2 papers)Genome Medicine (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Science (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Vinod D. Kumar
13 papers receiving 1.8k citations
Vinod D. Kumar's Hit Papers
Peers
Comparison fields: 5 of 106
- Public Health, Environmental and Occupational Health 684
- Computational Theory and Mathematics 373
- Molecular Medicine 77
- Hematology 167
- Molecular Biology 879
Countries citing papers authored by Vinod D. Kumar
This map shows the geographic impact of Vinod D. 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 Vinod D. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinod D. Kumar more than expected).
Fields of papers citing papers by Vinod D. Kumar
This network shows the impact of papers produced by Vinod D. 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 Vinod D. Kumar. The network helps show where Vinod D. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vinod D. 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
| # | Work | ||
|---|---|---|---|
| 1 | Thousands of chemical starting points for antimalarial lead identification Hit paper breakdown → | 2010 | 818 |
| 2 | Selective targeting of BD1 and BD2 of the BET proteins in cancer and immunoinflammation Hit paper breakdown → | 2020 | 341 |
| 3 | 2015 | 212 | |
| 4 | 2014 | 97 | |
| 5 | 2011 | 90 | |
| 6 | 2008 | 79 | |
| 7 | 1990 | 78 | |
| 8 | 2015 | 41 | |
| 9 | 2016 | 20 | |
| 10 | 1991 | 16 | |
| 11 | 2014 | 11 | |
| 12 | 2010 | 6 | |
| 13 | 2011 | 3 |
About Vinod D. Kumar
Vinod D. Kumar is a scholar working on Computational Theory and Mathematics, Molecular Biology, Biological Psychiatry, Molecular Medicine and Physiology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Computational Drug Discovery Methods (3 papers), Gene expression and cancer classification (2 papers), Biomedical Text Mining and Ontologies (2 papers), Diet and metabolism studies (2 papers), Tryptophan and brain disorders (1 paper), Synthesis and Catalytic Reactions (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (684 citations), Computational Theory and Mathematics (373 citations), Molecular Medicine (77 citations), Hematology (167 citations) and Molecular Biology (879 citations). Vinod D. Kumar has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include James R. Brown, Samiul Hasan, Cristina de Cózar, José Garcia-Bustos, Lon R. Cardon, Dana E. Vanderwall, Emilio Fernández Álvarez, Catherine E. Peishoff, Darren V. S. Green and Francisco‐Javier Gamo. Their work appears in journals such as Scientific Reports, Genome Medicine, Antimicrobial Agents and Chemotherapy, Science and Biochemistry.
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.