Thomas Wüest
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
- Oncology 8
- Peptidase Inhibition and Analysis 8
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- Polyamine Metabolism and Applications 2
- Co-authors
- Dieter Moosmayer (4 shared papers)Klaus Pfizenmaier (4 shared papers)Michael A. Kertesz (2 shared papers)Elke Gerlach (3 shared papers)Scott K. Durum (1 shared paper)Arthur A. Hurwitz (1 shared paper)Jami Willette‐Brown (1 shared paper)Nathalie Peters (1 shared paper)
- Journals
- Oncogene (2 papers)Molecular Microbiology (1 paper)Clinical Cancer Research (1 paper)Journal of Clinical Oncology (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Thomas Wüest
13 papers receiving 682 citations
Peers
Comparison fields: 5 of 80
- Immunology 230
- Oncology 265
- Cancer Research 115
- Pollution 67
- Molecular Biology 309
Countries citing papers authored by Thomas Wüest
This map shows the geographic impact of Thomas Wüest'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 Thomas Wüest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Wüest more than expected).
Fields of papers citing papers by Thomas Wüest
This network shows the impact of papers produced by Thomas Wüest. 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 Thomas Wüest. The network helps show where Thomas Wüest may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Wüest, 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 | 2001 | 174 | |
| 2 | 2008 | 82 | |
| 3 | 2012 | 79 | |
| 4 | 1999 | 71 | |
| 5 | 2010 | 58 | |
| 6 | 1999 | 47 | |
| 7 | 2009 | 34 | |
| 8 | 2001 | 32 | |
| 9 | 2001 | 30 | |
| 10 | 2004 | 29 | |
| 11 | 2002 | 28 | |
| 12 | 2010 | 16 | |
| 13 | 2009 | 10 | |
| 14 | 2010 | 0 |
About Thomas Wüest
Thomas Wüest is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 14 papers that have together received 690 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (8 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Neuropeptides and Animal Physiology (2 papers), Environmental Chemistry and Analysis (2 papers), Protease and Inhibitor Mechanisms (2 papers), Polyamine Metabolism and Applications (2 papers), Oral and gingival health research (1 paper) and Microbial bioremediation and biosurfactants (1 paper). The work is most often cited by research in Immunology (230 citations), Oncology (265 citations), Cancer Research (115 citations), Pollution (67 citations) and Molecular Biology (309 citations). Thomas Wüest has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Dieter Moosmayer, Klaus Pfizenmaier, Michael A. Kertesz, Elke Gerlach, Scott K. Durum, Arthur A. Hurwitz, Jami Willette‐Brown, Nathalie Peters, Peter Scheurich and Till Bartke. Their work appears in journals such as Oncogene, Molecular Microbiology, Clinical Cancer Research, Journal of Clinical Oncology and Journal of Bacteriology.
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.