Matthias Schweizer
- Agronomy and Crop Science top 0.1%
- Animal Disease Management and Epidemiology 55
- Virology top 1%
- HIV Research and Treatment 25
-
- Vector-Borne Animal Diseases 41
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 12
- Animal Science and Zoology top 1%
-
- Virus-based gene therapy research 24
-
- Viral Infections and Immunology Research 16
-
- Mitochondrial Function and Pathology 12
-
- T-cell and Retrovirus Studies 11
- Co-authors
- Christoph RichterErnst PeterhansD. Neumann‐HaefelinHanspeter StalderAndrea CossarizzaClaudio FranceschiThomas W. JungiVladimir Gogvadze
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
Matthias Schweizer
120 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 129
- Agronomy and Crop Science 1.9k
- Virology 731
- Ecology, Evolution, Behavior and Systematics 1.3k
- Infectious Diseases 1.1k
- Animal Science and Zoology 467
Countries citing papers authored by Matthias Schweizer
This map shows the geographic impact of Matthias Schweizer'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 Matthias Schweizer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Schweizer more than expected).
Fields of papers citing papers by Matthias Schweizer
This network shows the impact of papers produced by Matthias Schweizer. 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 Matthias Schweizer. The network helps show where Matthias Schweizer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Schweizer, 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 | 2021 | 9 | |
| 2 | 2021 | 8 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 7 | |
| 5 | 2018 | 14 | |
| 6 | 2015 | 5 | |
| 7 | 2015 | 34 | |
| 8 | 2015 | 19 | |
| 9 | Bovine Virusdiarrhöe (BVD): von der Biologie zur Bekämpfung | 2013 | 6 |
| 10 | 2007 | 15 | |
| 11 | 2006 | 74 | |
| 12 | 1999 | 30 | |
| 13 | 1999 | 82 | |
| 14 | 1999 | 19 | |
| 15 | 1997 | 27 | |
| 16 | 1996 | 12 | |
| 17 | 1996 | 53 | |
| 18 | 1995 | 135 | |
| 19 | 1994 | 35 | |
| 20 | 1993 | 37 |
About Matthias Schweizer
Matthias Schweizer is a scholar working on Agronomy and Crop Science, Virology and Ecology, Evolution, Behavior and Systematics, having authored 123 papers that have together received 5.3k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (55 papers), Vector-Borne Animal Diseases (41 papers), HIV Research and Treatment (25 papers), Virus-based gene therapy research (24 papers), Viral Infections and Immunology Research (16 papers), Mitochondrial Function and Pathology (12 papers), Viral gastroenteritis research and epidemiology (12 papers) and T-cell and Retrovirus Studies (11 papers). The work is most often cited by research in Agronomy and Crop Science (1.9k citations), Virology (731 citations) and Ecology, Evolution, Behavior and Systematics (1.3k citations). Matthias Schweizer has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Christoph Richter, Ernst Peterhans, D. Neumann‐Haefelin, Hanspeter Stalder, Andrea Cossarizza, Claudio Franceschi, Thomas W. Jungi, Vladimir Gogvadze, Ralph Schlapbach and Robert Turek. Their work appears in journals such as Virology, Journal of Virology, Journal of General Virology, Viruses and BMC Veterinary 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.