Sanjeev Das
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 4
- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 2
- Oncology 16
- Cancer-related Molecular Pathways 13
- Co-authors
- Nirmalya Sen (4 shared papers)Kumaravel Somasundaram (6 shared papers)Stuart A. Aaronson (3 shared papers)Sam W. Lee (3 shared papers)Bo Zhao (1 shared paper)Lakshmi Raj (1 shared paper)Alan Bernstein (1 shared paper)Yuki Kimura (1 shared paper)
- Journals
- Cancer Research (4 papers)Molecular Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Sanjeev Das
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Geriatrics and Gerontology 101
- Cancer Research 246
- Oncology 401
- Immunology and Allergy 57
- Molecular Biology 632
Countries citing papers authored by Sanjeev Das
This map shows the geographic impact of Sanjeev Das'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 Sanjeev Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Das more than expected).
Fields of papers citing papers by Sanjeev Das
This network shows the impact of papers produced by Sanjeev Das. 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 Sanjeev Das. The network helps show where Sanjeev Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjeev Das, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 144 | |
| 2 | 2016 | 125 | |
| 3 | 2007 | 122 | |
| 4 | 2006 | 78 | |
| 5 | 2005 | 60 | |
| 6 | 2013 | 52 | |
| 7 | 2008 | 46 | |
| 8 | 2019 | 45 | |
| 9 | 2013 | 41 | |
| 10 | 2014 | 37 | |
| 11 | 2021 | 37 | |
| 12 | 2017 | 32 | |
| 13 | 2004 | 29 | |
| 14 | 2018 | 26 | |
| 15 | 2003 | 24 | |
| 16 | 2003 | 24 | |
| 17 | 2005 | 23 | |
| 18 | 2006 | 21 | |
| 19 | 2023 | 20 | |
| 20 | 2022 | 18 |
About Sanjeev Das
Sanjeev Das is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Biotechnology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Cancer Research and Treatments (5 papers), Ubiquitin and proteasome pathways (4 papers), RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Virus-based gene therapy research (3 papers), Urinary Tract Infections Management (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (101 citations), Cancer Research (246 citations), Oncology (401 citations), Immunology and Allergy (57 citations) and Molecular Biology (632 citations). Sanjeev Das has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Nirmalya Sen, Kumaravel Somasundaram, Stuart A. Aaronson, Sam W. Lee, Bo Zhao, Lakshmi Raj, Alan Bernstein, Yuki Kimura, Wafik S. El‐Deiry and Yoon Sun Yang. Their work appears in journals such as Cancer Research, Molecular Cell, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.