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 6
- Phagocytosis and Immune Regulation 2
-
- Inflammasome and immune disorders 3
- 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)Miklós Geiszt (1 shared paper)Shannon Quinn (1 shared paper)Thomas L. Leto (1 shared paper)
- Journals
- Inflammation Research (2 papers)Journal of Visualized Experiments (2 papers)PLoS Pathogens (1 paper)The Journal of Immunology (1 paper)Current Opinion in Immunology (1 paper)
- Partner nations
- United StatesMexicoFrance
In The Last Decade
Payel Sil
13 papers receiving 485 citations
Peers
Comparison fields: 5 of 84
- Immunology 233
- Physiology 40
- Nephrology 46
- Endocrinology 22
- Molecular Medicine 20
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 | 80 | |
| 2 | 2016 | 73 | |
| 3 | 2017 | 72 | |
| 4 | 2016 | 65 | |
| 5 | 2014 | 46 | |
| 6 | 2017 | 46 | |
| 7 | 2016 | 40 | |
| 8 | 2018 | 35 | |
| 9 | 2023 | 12 | |
| 10 | 2013 | 11 | |
| 11 | 2018 | 5 | |
| 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 490 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Inflammasome and immune disorders (3 papers), Autophagy in Disease and Therapy (3 papers), Phagocytosis and Immune Regulation (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Health Policy Implementation Science (1 paper), MicroRNA in disease regulation (1 paper) and Cultural Competency in Health Care (1 paper). The work is most often cited by research in Immunology (233 citations), Physiology (40 citations), Nephrology (46 citations), Endocrinology (22 citations) and Molecular Medicine (20 citations). Payel Sil has collaborated with scholars based in United States, Mexico and France. Frequent co-authors include Balázs Rada, Jennifer Martinez, Sing‐Wai Wong, Dae‐Goon Yoo, Ginger W. Muse, Miklós Geiszt, Shannon Quinn, Thomas L. Leto, Jeremy Sokolove and Patrick J. Breen. Their work appears in journals such as Inflammation Research, Journal of Visualized Experiments, PLoS Pathogens, The Journal of Immunology and Current Opinion in Immunology.
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.