Ronald H. Schwartz
- Immunology top 0.1%
- Molecular Biology top 2%
- Oncology top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Genetics top 2%
- Co-authors
- Drew M. PardollDenis BruniquelWilliam E. PaulAlbert BendelacJonathan D. PowellBenjamin SredniSang‐Mo KangNevil J. Singh
- Topics
- T-cell and B-cell Immunology (65 papers)Immune Cell Function and Interaction (60 papers)Immunotherapy and Immune Responses (27 papers)
- Journals
- NatureScienceNucleic Acids Research
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Ronald H. Schwartz
111 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Immunology 8.7k
- Molecular Biology 2.7k
- Oncology 2.0k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Genetics 947
Countries citing papers authored by Ronald H. Schwartz
This map shows the geographic impact of Ronald 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 Ronald 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 Ronald H. Schwartz more than expected).
Fields of papers citing papers by Ronald H. Schwartz
This network shows the impact of papers produced by Ronald 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 Ronald H. Schwartz. The network helps show where Ronald H. Schwartz may publish in the future.
Co-authorship network of co-authors of Ronald H. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald H. Schwartz. A scholar is included among the top collaborators of Ronald 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 Ronald H. Schwartz. Ronald 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 | 34 | |
| 2 | 33 | |
| 3 | 9 | |
| 4 | 90 | |
| 5 | 23 | |
| 6 | 9 | |
| 7 | 70 | |
| 8 | 21 | |
| 9 | 85 | |
| 10 | 25 | |
| 11 | 135 | |
| 12 | 73 | |
| 13 | 12 | |
| 14 | 100 | |
| 15 | 69 | |
| 16 | 9 | |
| 17 | 84 | |
| 18 | 293 | |
| 19 | Immune response gene control of determinant selection. II. Genetic control of the murine T lymphocyte proliferative response to insulin. | 78 |
| 20 | Lack of B lymphocyte depletion from murine spleen cell populations by a human gamma-globulin, anti-human gamma-globulin column system. | 5 |
About Ronald H. Schwartz
Ronald H. Schwartz is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 114 papers that have together received 11.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (65 papers), Immune Cell Function and Interaction (60 papers) and Immunotherapy and Immune Responses (27 papers). The work is most often cited by research in Immunology (8.7k citations), Immunology and Allergy (548 citations) and Oncology (2.0k citations). Ronald H. Schwartz has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Drew M. Pardoll, Denis Bruniquel, William E. Paul, Albert Bendelac, Jonathan D. Powell, Benjamin Sredni, Sang‐Mo Kang, Nevil J. Singh, Marc K. Jenkins and Dan R. Littman. Their work appears in journals such as Nature, Science and Nucleic Acids Research.
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.