Michael Veit
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
Papers in
- Epidemiology 61
- Influenza Virus Research Studies 49
- Virology and Viral Diseases 10
- Cell Biology 30
- Cellular transport and secretion 30
- Co-authors
- Bastian Thaa (15 shared papers)Michael F.G. Schmidt (22 shared papers)James Edward Rothman (2 shared papers)Andreas Herrmann (24 shared papers)Shuo Su (20 shared papers)Larisa Valentinovna Kordyukova (13 shared papers)Marina V. Serebryakova (11 shared papers)Mark A. Stamnes (1 shared paper)
In The Last Decade
Michael Veit
125 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 136
- Cell Biology 884
- Animal Science and Zoology 519
- Biochemistry 315
- Epidemiology 1.2k
- Infectious Diseases 599
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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 473 | |
| 2 | 1996 | 287 | |
| 3 | 1996 | 208 | |
| 4 | 2020 | 145 | |
| 5 | 2018 | 120 | |
| 6 | 2020 | 116 | |
| 7 | 1991 | 111 | |
| 8 | 2017 | 107 | |
| 9 | 2011 | 101 | |
| 10 | 2008 | 96 | |
| 11 | 2001 | 83 | |
| 12 | 2012 | 81 | |
| 13 | 2009 | 71 | |
| 14 | 2009 | 71 | |
| 15 | 2003 | 64 | |
| 16 | 2014 | 64 | |
| 17 | 2015 | 63 | |
| 18 | 1994 | 60 | |
| 19 | 2007 | 60 | |
| 20 | 2022 | 60 |
About Michael Veit
Michael Veit is a scholar working on Epidemiology, Cell Biology, Animal Science and Zoology, Biochemistry and Molecular Biology, having authored 131 papers that have together received 4.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (49 papers), Cellular transport and secretion (30 papers), Lipid Membrane Structure and Behavior (25 papers), Animal Virus Infections Studies (20 papers), Lipid metabolism and biosynthesis (14 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Virology and Viral Diseases (10 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). The work is most often cited by research in Cell Biology (884 citations), Animal Science and Zoology (519 citations), Biochemistry (315 citations), Epidemiology (1.2k citations) and Infectious Diseases (599 citations). Michael Veit has collaborated with scholars based in Germany, China and Russia. Frequent co-authors include Bastian Thaa, Michael F.G. Schmidt, James Edward Rothman, Andreas Herrmann, Shuo Su, Larisa Valentinovna Kordyukova, Marina V. Serebryakova, Mark A. Stamnes, Gairu Li and Klaus Fiedler. Their work appears in journals such as Journal of Virology, Virology, Biochemical Journal, FEBS Letters and Cellular Microbiology.
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.