Urs Wirth
Impact in
- Immunology top 10%
- T-cell and Retrovirus Studies
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
Papers in ⓘ
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- Animal Disease Management and Epidemiology 4
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- Mass Spectrometry Techniques and Applications 4
- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Martin Schwyzer (5 shared papers)Bernd Vogt (4 shared papers)Cornel Fraefel (3 shared papers)A Köck (1 shared paper)Thomas A. Luger (1 shared paper)Patrick Schindler (2 shared papers)Sjouke Hoving (2 shared papers)Hans Voshol (2 shared papers)
- Journals
- Journal of Virology (4 papers)Journal of Mass Spectrometry (2 papers)PROTEOMICS (2 papers)Virus Research (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- SwitzerlandSlovakiaCanada
In The Last Decade
Urs Wirth
14 papers receiving 790 citations
Peers
Comparison fields: 5 of 73
- Immunology 304
- Spectroscopy 195
- Epidemiology 360
- Parasitology 40
- Agronomy and Crop Science 52
Countries citing papers authored by Urs Wirth
This map shows the geographic impact of Urs Wirth'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 Urs Wirth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Wirth more than expected).
Fields of papers citing papers by Urs Wirth
This network shows the impact of papers produced by Urs Wirth. 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 Urs Wirth. The network helps show where Urs Wirth may publish in the future.
Co-authors
The 25 scholars most cited alongside Urs Wirth, 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 | 176 | |
| 2 | 1992 | 123 | |
| 3 | 1985 | 120 | |
| 4 | 1991 | 104 | |
| 5 | 1989 | 95 | |
| 6 | 1994 | 52 | |
| 7 | 2003 | 50 | |
| 8 | 2000 | 31 | |
| 9 | 1993 | 29 | |
| 10 | 2007 | 15 | |
| 11 | 2002 | 8 | |
| 12 | Melanoma cell production of an interleukin 1 like thymocyte activating factor | 1984 | 5 |
| 13 | 1993 | 5 | |
| 14 | 2000 | 1 |
About Urs Wirth
Urs Wirth is a scholar working on Agronomy and Crop Science, Spectroscopy, Endocrinology, Immunology and Epidemiology, having authored 14 papers that have together received 814 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Animal Disease Management and Epidemiology (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Ion-surface interactions and analysis (2 papers), T-cell and Retrovirus Studies (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Immunology (304 citations), Spectroscopy (195 citations), Epidemiology (360 citations), Parasitology (40 citations) and Agronomy and Crop Science (52 citations). Urs Wirth has collaborated with scholars based in Switzerland, Slovakia and Canada. Frequent co-authors include Martin Schwyzer, Bernd Vogt, Cornel Fraefel, A Köck, Thomas A. Luger, Patrick Schindler, Sjouke Hoving, Hans Voshol, Harry Towbin and D. R. Müller. Their work appears in journals such as Journal of Virology, Journal of Mass Spectrometry, PROTEOMICS, Virus Research and The Journal of Immunology.
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.