Saumendra N. Sarkar
- Immunology top 0.5%
- interferon and immune responses 42
- Immune Response and Inflammation 22
- Infectious Diseases top 2%
- Cancer Research top 5%
- NF-κB Signaling Pathways 7
- Animal Science and Zoology top 2%
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 12
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- RNA Research and Splicing 10
- RNA and protein synthesis mechanisms 9
- RNA regulation and disease 9
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- Viral Infections and Immunology Research 9
- Co-authors
- Ganes C. SenArundhati GhoshJianzhong ZhuCarolyn B. CoyneChristopher P. ElcoKristi L. PetersSrabani PalRune Hartmann
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (12 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Saumendra N. Sarkar
76 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 115
- Immunology 2.6k
- Infectious Diseases 730
- Cancer Research 523
- Animal Science and Zoology 348
- Oncology 884
Countries citing papers authored by Saumendra N. Sarkar
This map shows the geographic impact of Saumendra N. Sarkar'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 Saumendra N. Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saumendra N. Sarkar more than expected).
Fields of papers citing papers by Saumendra N. Sarkar
This network shows the impact of papers produced by Saumendra N. Sarkar. 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 Saumendra N. Sarkar. The network helps show where Saumendra N. Sarkar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saumendra N. Sarkar, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2019 | 52 | |
| 6 | 2019 | 110 | |
| 7 | 2018 | 28 | |
| 8 | 2018 | 13 | |
| 9 | 2014 | 196 | |
| 10 | 2014 | 6 | |
| 11 | 2014 | 13 | |
| 12 | 2014 | 199 | |
| 13 | 2011 | 29 | |
| 14 | 2011 | 39 | |
| 15 | 2010 | 47 | |
| 16 | 2010 | 40 | |
| 17 | 2010 | 31 | |
| 18 | 2001 | 64 | |
| 19 | 1998 | 3 | |
| 20 | 1997 | 56 |
About Saumendra N. Sarkar
Saumendra N. Sarkar is a scholar working on Immunology, Oncology and Molecular Biology, having authored 80 papers that have together received 4.6k indexed citations. Recurring topics across this work include interferon and immune responses (42 papers), Immune Response and Inflammation (22 papers), Cytokine Signaling Pathways and Interactions (12 papers), RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (9 papers), RNA regulation and disease (9 papers), Viral Infections and Immunology Research (9 papers) and NF-κB Signaling Pathways (7 papers). The work is most often cited by research in Immunology (2.6k citations), Infectious Diseases (730 citations) and Cancer Research (523 citations). Saumendra N. Sarkar has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ganes C. Sen, Arundhati Ghosh, Jianzhong Zhu, Carolyn B. Coyne, Christopher P. Elco, Kristi L. Peters, Srabani Pal, Rune Hartmann, Shuji Sakamoto and Adriana Forero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.