Sanjit Kumer Roy
Impact in
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
- Oncology 19
- Cytokine Signaling Pathways and Interactions 12
- Cancer Cells and Metastasis 4
- Pancreatic and Hepatic Oncology Research 3
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- NF-κB Signaling Pathways 5
- Co-authors
- Sharmila Shankar (10 shared papers)Rakesh K. Srivastava (9 shared papers)Dhananjaya V. Kalvakolanu (12 shared papers)Hitoshi Nakamoto (3 shared papers)Junbo Hu (6 shared papers)Sekhar P. Reddy (5 shared papers)Nobuaki Suzuki (1 shared paper)Leonidas C. Platanias (3 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (6 papers)Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (2 papers)American Journal of Physiology-Cell Physiology (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Sanjit Kumer Roy
39 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Oncology 489
- Cancer Research 247
- Geriatrics and Gerontology 55
- Immunology 336
- Molecular Biology 962
Countries citing papers authored by Sanjit Kumer Roy
This map shows the geographic impact of Sanjit Kumer Roy'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 Sanjit Kumer Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjit Kumer Roy more than expected).
Fields of papers citing papers by Sanjit Kumer Roy
This network shows the impact of papers produced by Sanjit Kumer Roy. 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 Sanjit Kumer Roy. The network helps show where Sanjit Kumer Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjit Kumer Roy, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 336 | |
| 2 | 2003 | 145 | |
| 3 | 2001 | 135 | |
| 4 | 2012 | 133 | |
| 5 | 2011 | 116 | |
| 6 | 2000 | 93 | |
| 7 | 2002 | 89 | |
| 8 | 2008 | 60 | |
| 9 | 2000 | 59 | |
| 10 | 2007 | 50 | |
| 11 | 1999 | 49 | |
| 12 | 2007 | 41 | |
| 13 | 2020 | 39 | |
| 14 | 2008 | 36 | |
| 15 | 2020 | 34 | |
| 16 | 2017 | 34 | |
| 17 | 2009 | 30 | |
| 18 | 2005 | 28 | |
| 19 | 2000 | 25 | |
| 20 | 2023 | 25 |
About Sanjit Kumer Roy
Sanjit Kumer Roy is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (12 papers), interferon and immune responses (10 papers), NF-κB Signaling Pathways (5 papers), Cancer Cells and Metastasis (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Immune Cell Function and Interaction (3 papers), Heat shock proteins research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Oncology (489 citations), Cancer Research (247 citations), Geriatrics and Gerontology (55 citations), Immunology (336 citations) and Molecular Biology (962 citations). Sanjit Kumer Roy has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Sharmila Shankar, Rakesh K. Srivastava, Dhananjaya V. Kalvakolanu, Hitoshi Nakamoto, Junbo Hu, Sekhar P. Reddy, Nobuaki Suzuki, Leonidas C. Platanias, Paul S. Shapiro and Junsheng Fu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Physiology-Cell Physiology.
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.