Joost J. Oppenheim
- Immunology top 0.01%
- Immune Response and Inflammation 134
- Immunotherapy and Immune Responses 104
- Immune Cell Function and Interaction 102
- T-cell and B-cell Immunology 72
- Microbiology top 0.01%
- Antimicrobial Peptides and Activities 47
- Immunology and Allergy top 0.02%
- Cell Adhesion Molecules Research 48
- Oncology top 0.05%
- Chemokine receptors and signaling 81
- Cytokine Signaling Pathways and Interactions 33
- Periodontics top 0.1%
- Co-authors
- Kouji MatsushimaDe YangO. M. Zack HowardXin ChenOleg ChertovAndrew R. LloydDavid L. RosenstreichScott K. Durum
- Partner nations
- United StatesChinaJapan
In The Last Decade
Joost J. Oppenheim
446 papers receiving 51.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Immunology 28.9k
- Microbiology 7.8k
- Immunology and Allergy 4.8k
- Oncology 11.5k
- Periodontics 1.3k
Countries citing papers authored by Joost J. Oppenheim
This map shows the geographic impact of Joost J. Oppenheim'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 Joost J. Oppenheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joost J. Oppenheim more than expected).
Fields of papers citing papers by Joost J. Oppenheim
This network shows the impact of papers produced by Joost J. Oppenheim. 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 Joost J. Oppenheim. The network helps show where Joost J. Oppenheim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joost J. Oppenheim, 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 | 9 | |
| 2 | 2023 | 5 | |
| 3 | 2021 | 24 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 58 | |
| 7 | 2016 | 80 | |
| 8 | 2014 | 49 | |
| 9 | 2011 | 115 | |
| 10 | 2008 | 275 | |
| 11 | 2004 | 21 | |
| 12 | 2004 | 97 | |
| 13 | 2004 | 66 | |
| 14 | 2003 | 369 | |
| 15 | 2002 | 304 | |
| 16 | 2001 | 195 | |
| 17 | 2001 | 235 | |
| 18 | Clinical applications of cytokines : role in pathogenesis, diagnosis, and therapy | 1993 | 70 |
| 19 | The Physiologic, metabolic, and immunologic actions of interleukin-1 : proceedings of a symposium held in Ann Arbor, Michigan, June 4-6, 1985 | 1985 | 1 |
| 20 | Interleukins, lymphokines, and cytokines : proceedings of the Third International Lymphokine Workshop | 1983 | 7 |
About Joost J. Oppenheim
Joost J. Oppenheim is a scholar working on Immunology, Immunology and Allergy and Microbiology, having authored 451 papers that have together received 54.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (134 papers), Immunotherapy and Immune Responses (104 papers), Immune Cell Function and Interaction (102 papers), Chemokine receptors and signaling (81 papers), T-cell and B-cell Immunology (72 papers), Cell Adhesion Molecules Research (48 papers), Antimicrobial Peptides and Activities (47 papers) and Cytokine Signaling Pathways and Interactions (33 papers). The work is most often cited by research in Immunology (28.9k citations), Microbiology (7.8k citations) and Immunology and Allergy (4.8k citations). Joost J. Oppenheim has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kouji Matsushima, De Yang, O. M. Zack Howard, Xin Chen, Oleg Chertov, Andrew R. Lloyd, David L. Rosenstreich, Scott K. Durum, Claus Zachariae and Qian Chen. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.