Runjun D. Kumar
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
- Genetics 10
- Genomics and Rare Diseases 8
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- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 3
- Biomedical Text Mining and Ontologies 2
- RNA regulation and disease 2
- Co-authors
- Ron Bose (4 shared papers)Anne‐Claude Gavin (2 shared papers)Peer Bork (2 shared papers)Vera van Noort (2 shared papers)S. Joshua Swamidass (2 shared papers)Francesca Diella (1 shared paper)Daniel R. Mende (1 shared paper)Manuela Helmer‐Citterich (1 shared paper)
- Journals
- Nature Genetics (2 papers)Genetics in Medicine (2 papers)Molecular Systems Biology (2 papers)Nature Communications (2 papers)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Runjun D. Kumar
24 papers receiving 1.4k citations
Runjun D. Kumar's Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 185
- Molecular Biology 890
- Genetics 208
- Oncology 185
- Cardiology and Cardiovascular Medicine 147
Countries citing papers authored by Runjun D. Kumar
This map shows the geographic impact of Runjun 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 Runjun 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 Runjun D. Kumar more than expected).
Fields of papers citing papers by Runjun D. Kumar
This network shows the impact of papers produced by Runjun 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 Runjun D. Kumar. The network helps show where Runjun D. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Runjun 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DGIdb: mining the druggable genome Hit paper breakdown → | 2013 | 414 |
| 2 | 2014 | 246 | |
| 3 | 2012 | 201 | |
| 4 | 2012 | 153 | |
| 5 | 2010 | 138 | |
| 6 | 2018 | 114 | |
| 7 | 2015 | 44 | |
| 8 | 2016 | 39 | |
| 9 | 2013 | 24 | |
| 10 | 2017 | 12 | |
| 11 | 2018 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 2 | |
| 20 | 2021 | 2 |
About Runjun D. Kumar
Runjun D. Kumar is a scholar working on Genetics, Molecular Biology, Cancer Research, Oncology and Neurology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Genomics and Phylogenetic Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Biomedical Text Mining and Ontologies (2 papers), Computational Drug Discovery Methods (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cancer Research (185 citations), Molecular Biology (890 citations), Genetics (208 citations), Oncology (185 citations) and Cardiology and Cardiovascular Medicine (147 citations). Runjun D. Kumar has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Ron Bose, Anne‐Claude Gavin, Peer Bork, Vera van Noort, S. Joshua Swamidass, Francesca Diella, Daniel R. Mende, Manuela Helmer‐Citterich, Luca Parca and Pablo Mínguez. Their work appears in journals such as Nature Genetics, Genetics in Medicine, Molecular Systems Biology, Nature Communications and Journal of Thoracic Oncology.
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.