Jay S. Fine
- Immunology top 2%
- Immunotherapy and Immune Responses 16
- T-cell and B-cell Immunology 15
- Immune Cell Function and Interaction 12
- Immune Response and Inflammation 7
- Oncology top 5%
- Chemokine receptors and signaling 21
- Pharmacology top 2%
- Immunology and Allergy top 5%
- Physiology top 5%
- Asthma and respiratory diseases 10
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- Chronic Lymphocytic Leukemia Research 9
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- Neonatal Respiratory Health Research 7
- Co-authors
- R. William HipkinSatwant K. NarulaDenise ManfraJonathan E. PhillipsWaldemar GonsiorekLaura EngstromDaniel LundellPaul J. Zavodny
- Cited by
- ImmunologyOncologyPharmacology
- Journals
- The Journal of Immunology (6 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Pharmacology and Experimental Therapeutics (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jay S. Fine
77 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 1.2k
- Oncology 794
- Pharmacology 422
- Immunology and Allergy 140
- Physiology 597
Countries citing papers authored by Jay S. Fine
This map shows the geographic impact of Jay S. Fine'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 Jay S. Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay S. Fine more than expected).
Fields of papers citing papers by Jay S. Fine
This network shows the impact of papers produced by Jay S. Fine. 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 Jay S. Fine. The network helps show where Jay S. Fine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay S. Fine, 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 | 2023 | 7 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 34 | |
| 5 | 2020 | 34 | |
| 6 | 2020 | 24 | |
| 7 | 2018 | 16 | |
| 8 | 2018 | 38 | |
| 9 | 2014 | 38 | |
| 10 | 2012 | 75 | |
| 11 | 2012 | 74 | |
| 12 | 2009 | 52 | |
| 13 | 2009 | 8 | |
| 14 | 2009 | 13 | |
| 15 | 2006 | 20 | |
| 16 | 2006 | 112 | |
| 17 | 2003 | 40 | |
| 18 | 2003 | 20 | |
| 19 | 2001 | 48 | |
| 20 | 2000 | 10 |
About Jay S. Fine
Jay S. Fine is a scholar working on Immunology, Oncology, Genetics, Immunology and Allergy and Nephrology, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (21 papers), Immunotherapy and Immune Responses (16 papers), T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (12 papers), Asthma and respiratory diseases (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Neonatal Respiratory Health Research (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (794 citations), Pharmacology (422 citations), Immunology and Allergy (140 citations) and Physiology (597 citations). Jay S. Fine has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include R. William Hipkin, Satwant K. Narula, Denise Manfra, Jonathan E. Phillips, Waldemar Gonsiorek, Laura Engstrom, Daniel Lundell, Paul J. Zavodny, Ada M. Kruisbeek and Richard W. Chapman. Their work appears in journals such as The Journal of Immunology, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Annals of the Rheumatic Diseases and PLoS ONE.
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.