Payel Sil
Impact in
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Immune Response and Inflammation
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- Phagocytosis and Immune Regulation 2
- Immunotherapy and Immune Responses 1
-
- Inflammasome and immune disorders 2
- DNA Repair Mechanisms 1
- Co-authors
- Balázs Rada (6 shared papers)Jennifer Martinez (3 shared papers)Sing‐Wai Wong (2 shared papers)Dae‐Goon Yoo (3 shared papers)Ginger W. Muse (1 shared paper)Jeremy Sokolove (1 shared paper)Shannon Quinn (1 shared paper)Barbara J. Reaves (1 shared paper)
- Journals
- Inflammation Research (2 papers)Journal of Visualized Experiments (2 papers)FEBS Journal (1 paper)Systems Biology in Reproductive Medicine (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesHungaryJapan
In The Last Decade
Payel Sil
13 papers receiving 502 citations
Peers
Comparison fields: 5 of 83
- Immunology 229
- Physiology 41
- Nephrology 44
- Endocrinology 21
- Epidemiology 120
Countries citing papers authored by Payel Sil
This map shows the geographic impact of Payel Sil'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 Payel Sil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payel Sil more than expected).
Fields of papers citing papers by Payel Sil
This network shows the impact of papers produced by Payel Sil. 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 Payel Sil. The network helps show where Payel Sil may publish in the future.
Co-authors
The 25 scholars most cited alongside Payel Sil, 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 | 2016 | 82 | |
| 2 | 2016 | 76 | |
| 3 | 2017 | 75 | |
| 4 | 2016 | 69 | |
| 5 | 2014 | 47 | |
| 6 | 2017 | 46 | |
| 7 | 2016 | 42 | |
| 8 | 2018 | 36 | |
| 9 | 2023 | 14 | |
| 10 | 2013 | 12 | |
| 11 | 2018 | 6 | |
| 12 | 2011 | 3 | |
| 13 | 2016 | 2 |
About Payel Sil
Payel Sil is a scholar working on Immunology, Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health and Physiology, having authored 13 papers that have together received 510 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Autophagy in Disease and Therapy (3 papers), Inflammasome and immune disorders (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Phagocytosis and Immune Regulation (2 papers), Health Policy Implementation Science (1 paper), DNA Repair Mechanisms (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (229 citations), Physiology (41 citations), Nephrology (44 citations), Endocrinology (21 citations) and Epidemiology (120 citations). Payel Sil has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Balázs Rada, Jennifer Martinez, Sing‐Wai Wong, Dae‐Goon Yoo, Ginger W. Muse, Jeremy Sokolove, Shannon Quinn, Barbara J. Reaves, Patrick J. Breen and Thomas L. Leto. Their work appears in journals such as Inflammation Research, Journal of Visualized Experiments, FEBS Journal, Systems Biology in Reproductive Medicine and JCI Insight.
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.