Runjun D. Kumar
Impact in
-
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Microbiology top 10%
Papers in
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- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
- Ubiquitin and proteasome pathways 2
- RNA modifications and cancer 2
- DNA Repair Mechanisms 1
- Genetics 6
- Genomics and Rare Diseases 5
- Co-authors
- Ron Bose (4 shared papers)Vera van Noort (2 shared papers)Anne‐Claude Gavin (2 shared papers)Peer Bork (2 shared papers)Luca Parca (1 shared paper)Manuela Helmer‐Citterich (1 shared paper)Pablo Mínguez (1 shared paper)Daniel R. Mende (1 shared paper)
- Journals
- Molecular Systems Biology (2 papers)Bioinformatics (1 paper)The American Journal of Human Genetics (1 paper)Journal of Thoracic Oncology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Runjun D. Kumar
19 papers receiving 644 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 498
- Microbiology 33
- Geriatrics and Gerontology 15
- Spectroscopy 77
- Oncology 98
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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 198 | |
| 2 | 2012 | 153 | |
| 3 | 2010 | 135 | |
| 4 | 2015 | 42 | |
| 5 | 2016 | 38 | |
| 6 | 2013 | 23 | |
| 7 | 2017 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2023 | 0 |
About Runjun D. Kumar
Runjun D. Kumar is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Neurology, having authored 20 papers that have together received 650 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Genomics and Diagnostics (2 papers), RNA modifications and cancer (2 papers), DNA Repair Mechanisms (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (498 citations), Microbiology (33 citations), Geriatrics and Gerontology (15 citations), Spectroscopy (77 citations) and Oncology (98 citations). Runjun D. Kumar has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ron Bose, Vera van Noort, Anne‐Claude Gavin, Peer Bork, Luca Parca, Manuela Helmer‐Citterich, Pablo Mínguez, Daniel R. Mende, Francesca Diella and S. Joshua Swamidass. Their work appears in journals such as Molecular Systems Biology, Bioinformatics, The American Journal of Human Genetics, Journal of Thoracic Oncology and PLoS ONE.
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.