Uwe D. Staerz
- Immunology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Co-authors
- Michael J. BevanMichael SteinmetzPaweł KisielowHarald von BoehmerHorst BlüthmannJohn W. KapplerPhilippa MarrackJanice White
- Topics
- T-cell and B-cell Immunology (28 papers)Monoclonal and Polyclonal Antibodies Research (20 papers)Immune Cell Function and Interaction (20 papers)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Uwe D. Staerz
37 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 3.7k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Molecular Biology 869
- Oncology 854
- Genetics 484
Countries citing papers authored by Uwe D. Staerz
This map shows the geographic impact of Uwe D. Staerz'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 Uwe D. Staerz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe D. Staerz more than expected).
Fields of papers citing papers by Uwe D. Staerz
This network shows the impact of papers produced by Uwe D. Staerz. 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 Uwe D. Staerz. The network helps show where Uwe D. Staerz may publish in the future.
Co-authorship network of co-authors of Uwe D. Staerz
This figure shows the co-authorship network connecting the top 25 collaborators of Uwe D. Staerz. A scholar is included among the top collaborators of Uwe D. Staerz 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 Uwe D. Staerz. Uwe D. Staerz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 40 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 20 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 80 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | Tolerance in T-cell-receptor transgenic mice involves deletion of nonmature CD4+8+ thymocytesbreakdown → | 1451 |
| 16 | Self-tolerance eliminates T cells specific for Mls-modified products of the major histocompatibility complexbreakdown → | 901 |
| 17 | 18 | |
| 18 | 150 | |
| 19 | 33 | |
| 20 | 42 |
About Uwe D. Staerz
Uwe D. Staerz is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 37 papers that have together received 4.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (28 papers), Monoclonal and Polyclonal Antibodies Research (20 papers) and Immune Cell Function and Interaction (20 papers). The work is most often cited by research in Immunology (3.7k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Oncology (854 citations). Uwe D. Staerz has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Michael J. Bevan, Michael Steinmetz, Paweł Kisielow, Harald von Boehmer, Horst Blüthmann, John W. Kappler, Philippa Marrack, Janice White, Hans-Georg Rammensee and Osami Kanagawa. 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.