Kai Michaelis
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
Papers in
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- Viral gastroenteritis research and epidemiology 5
-
- Hepatitis Viruses Studies and Epidemiology 6
- Co-authors
- Ulrich Dobrindt (3 shared papers)Jörg Hacker (2 shared papers)Mirko Faber (7 shared papers)Catharina Svanborg (1 shared paper)Carmen Buchrieser (1 shared paper)Gerhard Gottschalk (1 shared paper)Helge Karch (1 shared paper)Franziska Agerer (1 shared paper)
- Journals
- Eurosurveillance (4 papers)Journal of Bacteriology (2 papers)Epidemiology and Infection (2 papers)Microbiology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Kai Michaelis
22 papers receiving 899 citations
Peers
Comparison fields: 5 of 103
- Endocrinology 233
- Hepatology 130
- Molecular Medicine 75
- Infectious Diseases 142
- Genetics 171
Countries citing papers authored by Kai Michaelis
This map shows the geographic impact of Kai Michaelis'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 Kai Michaelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Michaelis more than expected).
Fields of papers citing papers by Kai Michaelis
This network shows the impact of papers produced by Kai Michaelis. 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 Kai Michaelis. The network helps show where Kai Michaelis may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Michaelis, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 220 | |
| 2 | 2005 | 105 | |
| 3 | 2010 | 101 | |
| 4 | 2006 | 81 | |
| 5 | 2003 | 77 | |
| 6 | 2017 | 66 | |
| 7 | 2011 | 46 | |
| 8 | 2005 | 41 | |
| 9 | 2013 | 31 | |
| 10 | 2017 | 29 | |
| 11 | 2020 | 24 | |
| 12 | 2017 | 18 | |
| 13 | 2018 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 12 | |
| 17 | 2010 | 8 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2005 | 3 |
About Kai Michaelis
Kai Michaelis is a scholar working on Infectious Diseases, Hepatology, Endocrinology, Immunology and Molecular Biology, having authored 22 papers that have together received 923 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Escherichia coli research studies (4 papers), Vibrio bacteria research studies (3 papers), Salmonella and Campylobacter epidemiology (3 papers), T-cell and B-cell Immunology (2 papers), Influenza Virus Research Studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (233 citations), Hepatology (130 citations), Molecular Medicine (75 citations), Infectious Diseases (142 citations) and Genetics (171 citations). Kai Michaelis has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Ulrich Dobrindt, Jörg Hacker, Mirko Faber, Catharina Svanborg, Carmen Buchrieser, Gerhard Gottschalk, Helge Karch, Franziska Agerer, Jürgen J. Wenzel and Klaus Stark. Their work appears in journals such as Eurosurveillance, Journal of Bacteriology, Epidemiology and Infection, Microbiology and The Journal of Immunology.
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.