J S Abrams
- Immunology top 0.2%
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 6
- Parasitology top 0.5%
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 6
- Immunology and Allergy top 1%
- Epidemiology top 1%
- Mycobacterium research and diagnosis 8
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- Eosinophilic Disorders and Syndromes 7
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- Asthma and respiratory diseases 6
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- Eosinophilic Esophagitis 5
- Infectious Diseases and Tuberculosis 5
- Co-authors
- J E de VriesRené de Waal MalefytCarl G. FigdorPeter F. BarnesRobert L. ModlinHergen SpitsMasayuki YamamuraSiming Lu
- Journals
- The Journal of Immunology (14 papers)The Journal of Experimental Medicine (8 papers)Infection and Immunity (5 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
J S Abrams
51 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 5.2k
- Parasitology 773
- Infectious Diseases 1.8k
- Immunology and Allergy 555
- Epidemiology 2.1k
Countries citing papers authored by J S Abrams
This map shows the geographic impact of J S Abrams'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 J S Abrams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J S Abrams more than expected).
Fields of papers citing papers by J S Abrams
This network shows the impact of papers produced by J S Abrams. 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 J S Abrams. The network helps show where J S Abrams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J S Abrams, 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 | 2003 | 81 | |
| 2 | 1997 | 21 | |
| 3 | 1996 | 25 | |
| 4 | 1996 | 33 | |
| 5 | 1996 | 39 | |
| 6 | 1996 | 285 | |
| 7 | 1993 | 106 | |
| 8 | 1993 | 163 | |
| 9 | 1993 | 21 | |
| 10 | 1993 | 206 | |
| 11 | 1992 | 139 | |
| 12 | Interleukin 10(IL-10) inhibits cytokine synthesis by human monocytes: an autoregulatory role of IL-10 produced by monocytes.breakdown → | 1991 | 3238 |
| 13 | 1991 | 39 | |
| 14 | 1990 | 57 | |
| 15 | 1990 | 111 | |
| 16 | 1990 | 92 | |
| 17 | 1989 | 67 | |
| 18 | 1988 | 68 | |
| 19 | 1988 | 110 | |
| 20 | 1988 | 430 |
About J S Abrams
J S Abrams is a scholar working on Parasitology, Immunology and Infectious Diseases, having authored 51 papers that have together received 9.8k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (8 papers), Immune Cell Function and Interaction (8 papers), Eosinophilic Disorders and Syndromes (7 papers), Tuberculosis Research and Epidemiology (6 papers), Asthma and respiratory diseases (6 papers), T-cell and B-cell Immunology (6 papers), Eosinophilic Esophagitis (5 papers) and Infectious Diseases and Tuberculosis (5 papers). The work is most often cited by research in Immunology (5.2k citations), Parasitology (773 citations) and Infectious Diseases (1.8k citations). J S Abrams has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include J E de Vries, René de Waal Malefyt, Carl G. Figdor, Peter F. Barnes, Robert L. Modlin, Hergen Spits, Masayuki Yamamura, Siming Lu, Thomas B. Nutman and Eric A. Ottesen. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Infection and Immunity, Journal of Clinical Investigation and The Journal of Infectious Diseases.
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.