Sumit Deswal
Impact in
- Molecular Biology top 10%
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Chromatin Remodeling and Cancer
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- T-cell and B-cell Immunology 4
-
- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Nilanjan Roy (4 shared papers)Johannes A. Zuber (2 shared papers)Wolfgang W A Schamel (5 shared papers)Irina Sadovnik (1 shared paper)Phillip Kevin Darcy (1 shared paper)James E. Bradner (1 shared paper)Benjamin P. Martin (1 shared paper)Paul A. Beavis (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Nature (2 papers)Cell Reports (1 paper)FEBS Letters (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Sumit Deswal
15 papers receiving 1k citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 586
- Hematology 103
- Oncology 161
- Cancer Research 50
- Aging 6
Countries citing papers authored by Sumit Deswal
This map shows the geographic impact of Sumit Deswal'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 Sumit Deswal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Deswal more than expected).
Fields of papers citing papers by Sumit Deswal
This network shows the impact of papers produced by Sumit Deswal. 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 Sumit Deswal. The network helps show where Sumit Deswal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Deswal, 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 | 2015 | 437 | |
| 2 | 2017 | 265 | |
| 3 | 2019 | 91 | |
| 4 | 2021 | 82 | |
| 5 | 2006 | 29 | |
| 6 | 2013 | 29 | |
| 7 | 2010 | 19 | |
| 8 | 2006 | 14 | |
| 9 | 2009 | 14 | |
| 10 | 2011 | 10 | |
| 11 | 2010 | 9 | |
| 12 | 2006 | 8 | |
| 13 | 2009 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 1 |
About Sumit Deswal
Sumit Deswal is a scholar working on Immunology, Health Informatics, Computational Theory and Mathematics, Molecular Biology and Aging, having authored 15 papers that have together received 1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Computational Drug Discovery Methods (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Protein Degradation and Inhibitors (2 papers), Machine Learning in Healthcare (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Apelin-related biomedical research (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Molecular Biology (586 citations), Hematology (103 citations), Oncology (161 citations), Cancer Research (50 citations) and Aging (6 citations). Sumit Deswal has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Nilanjan Roy, Johannes A. Zuber, Wolfgang W A Schamel, Irina Sadovnik, Phillip Kevin Darcy, James E. Bradner, Benjamin P. Martin, Paul A. Beavis, Jake Shortt and Anna K. Traunbauer. Their work appears in journals such as European Journal of Medicinal Chemistry, Nature, Cell Reports, FEBS Letters 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.