Michael Kann
- Hepatology top 0.5%
- Hepatitis C virus research 22
- Virology top 2%
- Epidemiology top 1%
- Hepatitis B Virus Studies 33
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 8
- Parvovirus B19 Infection Studies 8
- Animal Science and Zoology top 2%
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- Virus-based gene therapy research 21
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- Nuclear Structure and Function 18
- RNA Interference and Gene Delivery 9
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- Bacteriophages and microbial interactions 6
- Co-authors
- Nelly PantéWolfram H. GerlichAri HeleniusBirgit RabeGary R. WhittakerDieter GlebeBeate SodeikAndreas Bischof
- Cited by
- HepatologyVirologyEpidemiology
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Michael Kann
62 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Hepatology 994
- Virology 339
- Epidemiology 1.7k
- Infectious Diseases 649
- Animal Science and Zoology 274
Countries citing papers authored by Michael Kann
This map shows the geographic impact of Michael Kann'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 Kann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kann more than expected).
Fields of papers citing papers by Michael Kann
This network shows the impact of papers produced by Michael Kann. 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 Kann. The network helps show where Michael Kann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Kann, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 55 | |
| 7 | 2017 | 21 | |
| 8 | 2016 | 45 | |
| 9 | Analysis of the nuclear localization signal of the hepatitis B virus capsid | 2012 | 8 |
| 10 | 2010 | 40 | |
| 11 | 2009 | 80 | |
| 12 | 2007 | 1 | |
| 13 | 2007 | 1 | |
| 14 | 2006 | 19 | |
| 15 | 2005 | 120 | |
| 16 | 2004 | 2 | |
| 17 | 2003 | 36 | |
| 18 | 2002 | 2 | |
| 19 | 1998 | 25 | |
| 20 | 1993 | 8 |
About Michael Kann
Michael Kann is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Virology and Genetics, having authored 67 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (33 papers), Hepatitis C virus research (22 papers), Virus-based gene therapy research (21 papers), Nuclear Structure and Function (18 papers), RNA Interference and Gene Delivery (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Parvovirus B19 Infection Studies (8 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Hepatology (994 citations), Virology (339 citations), Epidemiology (1.7k citations), Infectious Diseases (649 citations) and Animal Science and Zoology (274 citations). Michael Kann has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Nelly Panté, Wolfram H. Gerlich, Ari Helenius, Birgit Rabe, Gary R. Whittaker, Dieter Glebe, Beate Sodeik, Andreas Bischof, Marie-Lise Blondot and Volker Bruss. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Viruses, Journal of Hepatology 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.