Richard G. Lynch
- Immunology top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Molecular Biology top 10%
- Oncology top 10%
- Hematology top 2%
- Co-authors
- Mátyás SándorR G HooverJames W. RohrerDaniel BergScot HickmanThomas J. WaldschmidtHoward M. GebelJoel V. Weinstock
- Topics
- Monoclonal and Polyclonal Antibodies Research (55 papers)T-cell and B-cell Immunology (51 papers)Immune Cell Function and Interaction (35 papers)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Richard G. Lynch
129 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 128
- Immunology 2.2k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Molecular Biology 1.1k
- Oncology 414
- Hematology 393
Countries citing papers authored by Richard G. Lynch
This map shows the geographic impact of Richard G. Lynch'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 Richard G. Lynch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard G. Lynch more than expected).
Fields of papers citing papers by Richard G. Lynch
This network shows the impact of papers produced by Richard G. Lynch. 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 Richard G. Lynch. The network helps show where Richard G. Lynch may publish in the future.
Co-authorship network of co-authors of Richard G. Lynch
This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Lynch. A scholar is included among the top collaborators of Richard G. Lynch 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 Richard G. Lynch. Richard G. Lynch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 98 | |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 37 | |
| 9 | 6 | |
| 10 | 87 | |
| 11 | 22 | |
| 12 | 18 | |
| 13 | 32 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 41 | |
| 18 | Lymphocyte surface membrane immunoglobulin in myeloma. I. M315-bearing T lymphocytes in mice with MOPC-315. | 23 |
| 19 | Mechanisms of antitumor effects of amphotericin B. | 3 |
| 20 | Jag orkar inte mer | 49 |
About Richard G. Lynch
Richard G. Lynch is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 131 papers that have together received 4.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (55 papers), T-cell and B-cell Immunology (51 papers) and Immune Cell Function and Interaction (35 papers). The work is most often cited by research in Immunology (2.2k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Parasitology (295 citations). Richard G. Lynch has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Mátyás Sándor, R G Hoover, James W. Rohrer, Daniel Berg, Scot Hickman, Thomas J. Waldschmidt, Howard M. Gebel, Joel V. Weinstock, Ahmed Metwali and Stuart Kornfeld. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.