Sushant Kumar
Impact in
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- Cancer Genomics and Diagnostics
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- Genomics and Rare Diseases
Papers in
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- Bioinformatics and Genomic Networks 5
- Genomics and Chromatin Dynamics 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Cancer Genomics and Diagnostics 7
- Co-authors
- Mark Gerstein (10 shared papers)Declan Clarke (2 shared papers)Arif Harmanci (4 shared papers)Xiaotong Li (4 shared papers)Patrick D. McGillivray (3 shared papers)Matthew Meyerson (3 shared papers)Yan Zhang (3 shared papers)Gad Getz (2 shared papers)
- Journals
- Cancer Research (2 papers)Genome Medicine (1 paper)Cell Reports (1 paper)Trends in Genetics (1 paper)Cell (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Sushant Kumar
11 papers receiving 255 citations
Peers
Comparison fields: 5 of 49
- Cancer Research 133
- Genetics 67
- Molecular Biology 160
- Oncology 50
- Pathology and Forensic Medicine 31
Countries citing papers authored by Sushant Kumar
This map shows the geographic impact of Sushant 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 Sushant Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushant Kumar more than expected).
Fields of papers citing papers by Sushant Kumar
This network shows the impact of papers produced by Sushant 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 Sushant Kumar. The network helps show where Sushant Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushant 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 | 2020 | 94 | |
| 2 | 2018 | 59 | |
| 3 | 2019 | 27 | |
| 4 | 2018 | 25 | |
| 5 | 2020 | 22 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 3 | |
| 9 | The viral and cellular Rel oncoproteins induce the differentiation of P19 embryonal carcinoma cells. | 1994 | 3 |
| 10 | 2018 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2023 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Sushant Kumar
Sushant Kumar is a scholar working on Molecular Biology, Cancer Research, Genetics, Organic Chemistry and Pharmaceutical Science, having authored 17 papers that have together received 255 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Chromatin Dynamics (2 papers), Adenosine and Purinergic Signaling (2 papers), Click Chemistry and Applications (2 papers), Genomics and Rare Diseases (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Cancer Research (133 citations), Genetics (67 citations), Molecular Biology (160 citations), Oncology (50 citations) and Pathology and Forensic Medicine (31 citations). Sushant Kumar has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Mark Gerstein, Declan Clarke, Arif Harmanci, Xiaotong Li, Patrick D. McGillivray, Matthew Meyerson, Yan Zhang, Gad Getz, Ekta Khurana and Jonathan Warrell. Their work appears in journals such as Cancer Research, Genome Medicine, Cell Reports, Trends in Genetics and Cell.
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.