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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- Escherichia coli research studies 5
-
- Hepatitis Viruses Studies and Epidemiology 6
- Co-authors
- Ulrich Dobrindt (3 shared papers)Jörg Hinrich Hacker (2 shared papers)Mirko S. Faber (7 shared papers)Andreas Janka (1 shared paper)Catharina Svanborg (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)Emerging Microbes & Infections (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Kai Michaelis
21 papers receiving 896 citations
Peers
Comparison fields: 5 of 79
- Endocrinology 213
- Hepatology 132
- Immunology 98
- Genetics 124
- Molecular Medicine 27
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 215 | |
| 2 | 2005 | 107 | |
| 3 | 2010 | 107 | |
| 4 | 2006 | 82 | |
| 5 | 2003 | 78 | |
| 6 | 2017 | 72 | |
| 7 | 2011 | 46 | |
| 8 | 2005 | 43 | |
| 9 | 2017 | 30 | |
| 10 | 2020 | 26 | |
| 11 | 2017 | 19 | |
| 12 | 2018 | 19 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 17 | |
| 15 | 2010 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2005 | 3 |
About Kai Michaelis
Kai Michaelis is a scholar working on Endocrinology, Hepatology, Infectious Diseases, Immunology and Modeling and Simulation, having authored 21 papers that have together received 922 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (6 papers), Escherichia coli research studies (5 papers), Psoriasis: Treatment and Pathogenesis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA Interference and Gene Delivery (1 paper), Bacterial biofilms and quorum sensing (1 paper), Genomics and Chromatin Dynamics (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Endocrinology (213 citations), Hepatology (132 citations), Immunology (98 citations), Genetics (124 citations) and Molecular Medicine (27 citations). Kai Michaelis has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Ulrich Dobrindt, Jörg Hinrich Hacker, Mirko S. Faber, Andreas Janka, Catharina Svanborg, Gerhard Gottschalk, Helge Karch, Franziska Agerer, Carmen Buchrieser and Jürgen J. Wenzel. Their work appears in journals such as Eurosurveillance, Journal of Bacteriology, Epidemiology and Infection, Emerging Microbes & Infections and Scientific Reports.
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.