R H Schwartz
- Immunology top 0.2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 1%
- Oncology top 2%
- Genetics top 5%
- Co-authors
- Marc K. JenkinsDaniel L. MuellerW E PaulB. J. FowlkesDM PardollJonathan D. AshwellJunichiro MizuguchiLaurie H. Glimcher
- Topics
- T-cell and B-cell Immunology (25 papers)Monoclonal and Polyclonal Antibodies Research (20 papers)Immune Cell Function and Interaction (16 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
R H Schwartz
47 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 4.9k
- Molecular Biology 1.2k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Oncology 1.1k
- Genetics 457
Countries citing papers authored by R H Schwartz
This map shows the geographic impact of R H Schwartz'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 R H Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R H Schwartz more than expected).
Fields of papers citing papers by R H Schwartz
This network shows the impact of papers produced by R H Schwartz. 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 R H Schwartz. The network helps show where R H Schwartz may publish in the future.
Co-authorship network of co-authors of R H Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of R H Schwartz. A scholar is included among the top collaborators of R H Schwartz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R H Schwartz. R H Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 118 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 42 | |
| 6 | 292 | |
| 7 | 304 | |
| 8 | Clonal Expansion Versus Functional Clonal Inactivation: A Costimulatory Signalling Pathway Determines the Outcome of T Cell Antigen Receptor Occupancybreakdown → | 1278 |
| 9 | 229 | |
| 10 | 242 | |
| 11 | 1 | |
| 12 | Antigen presentation by chemically modified splenocytes induces antigen-specific T cell unresponsiveness in vitro and in vivo.breakdown → | 946 |
| 13 | 113 | |
| 14 | 76 | |
| 15 | 198 | |
| 16 | 51 | |
| 17 | 41 | |
| 18 | 27 | |
| 19 | 97 | |
| 20 | 57 |
About R H Schwartz
R H Schwartz is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 6.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (25 papers), Monoclonal and Polyclonal Antibodies Research (20 papers) and Immune Cell Function and Interaction (16 papers). The work is most often cited by research in Immunology (4.9k citations), Immunology and Allergy (443 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). R H Schwartz has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Marc K. Jenkins, Daniel L. Mueller, W E Paul, B. J. Fowlkes, DM Pardoll, Jonathan D. Ashwell, Junichiro Mizuguchi, Laurie H. Glimcher, L A Matis and Chi‐An Chen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental 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.