Michael Seyffert
Impact in
-
- Virus-based gene therapy research
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
- Epidemiology 10
- Herpesvirus Infections and Treatments 10
- Cytomegalovirus and herpesvirus research 3
- Genetics 8
- Virus-based gene therapy research 8
- Co-authors
- Cornel Fraefel (13 shared papers)Mathias Ackermann (7 shared papers)C Dresch (4 shared papers)Daniel L. Glauser (5 shared papers)Anna Salvetti (3 shared papers)Bernd Vogt (5 shared papers)Sigrun Smola (1 shared paper)Robin Steigerwald (1 shared paper)
- Journals
- Journal of Virology (6 papers)Molecular Therapy (1 paper)Viruses (1 paper)Journal of Investigative Dermatology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Michael Seyffert
13 papers receiving 297 citations
Peers
Comparison fields: 5 of 42
- Genetics 166
- Animal Science and Zoology 54
- Infectious Diseases 73
- Immunology 55
- Epidemiology 88
Countries citing papers authored by Michael Seyffert
This map shows the geographic impact of Michael Seyffert'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 Seyffert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Seyffert more than expected).
Fields of papers citing papers by Michael Seyffert
This network shows the impact of papers produced by Michael Seyffert. 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 Seyffert. The network helps show where Michael Seyffert may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Seyffert, 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 | 2020 | 100 | |
| 2 | 2015 | 47 | |
| 3 | 2021 | 34 | |
| 4 | 2011 | 26 | |
| 5 | 2012 | 23 | |
| 6 | 2012 | 19 | |
| 7 | 2010 | 18 | |
| 8 | 2017 | 12 | |
| 9 | 2022 | 9 | |
| 10 | 2017 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2014 | 1 | |
| 13 | 2024 | 1 |
About Michael Seyffert
Michael Seyffert is a scholar working on Epidemiology, Genetics, Molecular Biology, Animal Science and Zoology and Immunology, having authored 13 papers that have together received 301 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (10 papers), Virus-based gene therapy research (8 papers), Animal Virus Infections Studies (5 papers), Cytomegalovirus and herpesvirus research (3 papers), interferon and immune responses (2 papers), Viral gastroenteritis research and epidemiology (2 papers), DNA Repair Mechanisms (2 papers) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Genetics (166 citations), Animal Science and Zoology (54 citations), Infectious Diseases (73 citations), Immunology (55 citations) and Epidemiology (88 citations). Michael Seyffert has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Cornel Fraefel, Mathias Ackermann, C Dresch, Daniel L. Glauser, Anna Salvetti, Bernd Vogt, Sigrun Smola, Robin Steigerwald, Jennifer Sand and Marlies Sauter. Their work appears in journals such as Journal of Virology, Molecular Therapy, Viruses, Journal of Investigative Dermatology and International Journal of Molecular Sciences.
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.