Michael Veit
Impact in
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Cell Biology top 1%
- Cellular transport and secretion
Papers in
-
- Lipid Membrane Structure and Behavior 25
- Protein Structure and Dynamics 21
- RNA and protein synthesis mechanisms 19
- Epidemiology 63
- Influenza Virus Research Studies 53
- Co-authors
- Michael F.G. Schmidt (22 shared papers)Bastian Thaa (15 shared papers)Andreas Herrmann (24 shared papers)Shuo Su (19 shared papers)Larisa V. Kordyukova (13 shared papers)James E. Rothman (1 shared paper)Klaus Fiedler (1 shared paper)Mark A. Stamnes (1 shared paper)
- Journals
- Journal of Virology (12 papers)Virology (11 papers)Biochemical Journal (8 papers)FEBS Letters (7 papers)Journal of General Virology (6 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Michael Veit
124 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 138
- Infectious Diseases 1.0k
- Cell Biology 923
- Animal Science and Zoology 546
- Epidemiology 1.4k
- Molecular Biology 2.3k
Countries citing papers authored by Michael Veit
This map shows the geographic impact of Michael Veit'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 Michael Veit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Veit more than expected).
Fields of papers citing papers by Michael Veit
This network shows the impact of papers produced by Michael Veit. 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 Michael Veit. The network helps show where Michael Veit may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Veit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 450 | |
| 2 | 1996 | 295 | |
| 3 | 1996 | 208 | |
| 4 | 2020 | 133 | |
| 5 | 2018 | 116 | |
| 6 | 1991 | 111 | |
| 7 | 2020 | 109 | |
| 8 | 2017 | 107 | |
| 9 | 2011 | 97 | |
| 10 | 2008 | 95 | |
| 11 | 2001 | 83 | |
| 12 | 2012 | 77 | |
| 13 | 2009 | 70 | |
| 14 | 2009 | 68 | |
| 15 | 2003 | 66 | |
| 16 | 2014 | 64 | |
| 17 | 1994 | 60 | |
| 18 | 2007 | 59 | |
| 19 | 2015 | 59 | |
| 20 | 1991 | 57 |
About Michael Veit
Michael Veit is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Genetics and Animal Science and Zoology, having authored 130 papers that have together received 4.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (53 papers), Lipid Membrane Structure and Behavior (25 papers), Viral gastroenteritis research and epidemiology (23 papers), Animal Virus Infections Studies (21 papers), Protein Structure and Dynamics (21 papers), RNA and protein synthesis mechanisms (19 papers), Virus-based gene therapy research (18 papers) and Cellular transport and secretion (17 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Cell Biology (923 citations), Animal Science and Zoology (546 citations), Epidemiology (1.4k citations) and Molecular Biology (2.3k citations). Michael Veit has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Michael F.G. Schmidt, Bastian Thaa, Andreas Herrmann, Shuo Su, Larisa V. Kordyukova, James E. Rothman, Klaus Fiedler, Mark A. Stamnes, Marina V. Serebryakova and James E. Rothman. Their work appears in journals such as Journal of Virology, Virology, Biochemical Journal, FEBS Letters and Journal of General Virology.
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.