John S. Abrams
- Immunology top 0.5%
- Immune Cell Function and Interaction 11
- Immune Response and Inflammation 8
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 7
- Reproductive System and Pregnancy 4
- Immunology and Allergy top 1%
- Oncology top 2%
- Physiology top 5%
- Asthma and respiratory diseases 3
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- Virus-based gene therapy research 3
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- Inflammasome and immune disorders 3
- Co-authors
- Robert L. JilkaGiovanni PasseriGiuseppe GirasoleStavros C. ManolagasDaniel C. WilliamsGiao HangocBrendan F. BoyceHal E. Broxmeyer
- Journals
- The Journal of Immunology (4 papers)Science (4 papers)Journal of Immunological Methods (3 papers)
- Partner nations
- United StatesFranceJapan
In The Last Decade
John S. Abrams
36 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 2.9k
- Immunology and Allergy 390
- Oncology 1.2k
- Orthopedics and Sports Medicine 366
- Physiology 684
Countries citing papers authored by John S. Abrams
This map shows the geographic impact of John 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 John 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 John S. Abrams more than expected).
Fields of papers citing papers by John S. Abrams
This network shows the impact of papers produced by John 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 John S. Abrams. The network helps show where John S. Abrams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John 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 | 2000 | 86 | |
| 2 | 2000 | 66 | |
| 3 | 2000 | 224 | |
| 4 | 1999 | 209 | |
| 5 | 1999 | 200 | |
| 6 | 1995 | 127 | |
| 7 | 1994 | 55 | |
| 8 | 1994 | 71 | |
| 9 | 1993 | 209 | |
| 10 | 1992 | 100 | |
| 11 | Increased Osteoclast Development After Estrogen Loss: Mediation by Interleukin-6breakdown → | 1992 | 1205 |
| 12 | 1992 | 351 | |
| 13 | 1991 | 52 | |
| 14 | 1991 | 237 | |
| 15 | 1991 | 2 | |
| 16 | 1991 | 34 | |
| 17 | 1990 | 21 | |
| 18 | 1989 | 55 | |
| 19 | 1989 | 70 | |
| 20 | 1989 | 31 |
About John S. Abrams
John S. Abrams is a scholar working on Immunology, Immunology and Allergy, Oncology, Infectious Diseases and Rheumatology, having authored 36 papers that have together received 5.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (8 papers), Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (7 papers), Reproductive System and Pregnancy (4 papers), Virus-based gene therapy research (3 papers), Inflammasome and immune disorders (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Immunology (2.9k citations), Immunology and Allergy (390 citations), Oncology (1.2k citations), Orthopedics and Sports Medicine (366 citations) and Physiology (684 citations). John S. Abrams has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Robert L. Jilka, Giovanni Passeri, Giuseppe Girasole, Stavros C. Manolagas, Daniel C. Williams, Giao Hangoc, Brendan F. Boyce, Hal E. Broxmeyer, Padmini Salgame and Harris Goldstein. Their work appears in journals such as The Journal of Immunology, Science, Journal of Immunological Methods, The Journal of Experimental Medicine and Infection and Immunity.
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.