Michael J. Bannasch
- Infectious Diseases top 5%
- Genetics top 10%
- Animal Science and Zoology top 2%
- Epidemiology
- Microbiology top 10%
- Co-authors
- Janet E. FoleyNiels C. PedersenHongwei LiuElizabeth MontgomeryMolly LiepnieksMichel PerronEisuke MurakamiAnushka C. Galasiti Kankanamalage
- Topics
- Virus-based gene therapy research (3 papers)Animal Virus Infections Studies (3 papers)Viral gastroenteritis research and epidemiology (2 papers)
- Journals
- Journal of the American Veterinary Medical AssociationJournal of Veterinary Internal MedicineVeterinary Immunology and Immunopathology
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Michael J. Bannasch
11 papers receiving 673 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 407
- Genetics 332
- Animal Science and Zoology 291
- Epidemiology 119
- Microbiology 62
Countries citing papers authored by Michael J. Bannasch
This map shows the geographic impact of Michael J. Bannasch'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 J. Bannasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Bannasch more than expected).
Fields of papers citing papers by Michael J. Bannasch
This network shows the impact of papers produced by Michael J. Bannasch. 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 J. Bannasch. The network helps show where Michael J. Bannasch may publish in the future.
Co-authorship network of co-authors of Michael J. Bannasch
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Bannasch. A scholar is included among the top collaborators of Michael J. Bannasch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. Bannasch. Michael J. Bannasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 78 | |
| 5 | 172 | |
| 6 | 8 | |
| 7 | 160 | |
| 8 | 13 | |
| 9 | 171 | |
| 10 | 56 | |
| 11 | 15 |
About Michael J. Bannasch
Michael J. Bannasch is a scholar working on Animal Science and Zoology, Genetics and Virology, having authored 11 papers that have together received 698 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Animal Virus Infections Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Animal Science and Zoology (291 citations), Infectious Diseases (407 citations) and Genetics (332 citations). Michael J. Bannasch has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Janet E. Foley, Niels C. Pedersen, Hongwei Liu, Elizabeth Montgomery, Molly Liepnieks, Michel Perron, Eisuke Murakami, Anushka C. Galasiti Kankanamalage, Chrissy Eckstrand and Kyeong-Ok Chang. Their work appears in journals such as Journal of the American Veterinary Medical Association, Journal of Veterinary Internal Medicine and Veterinary Immunology and Immunopathology.
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.