Karin Münch
Impact in
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
- Parasitology top 5%
- Toxoplasma gondii Research Studies
Papers in
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- Fungal and yeast genetics research 5
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- Cytomegalovirus and herpesvirus research 6
- Herpesvirus Infections and Treatments 4
- Co-authors
- Matthias J. Reddehase (2 shared papers)U H Koszinowski (2 shared papers)Hans‐Jörg Bühring (1 shared paper)Wolfgang Mutter (1 shared paper)Ulrich H. Koszinowski (3 shared papers)Anke Lüske (1 shared paper)F. Weiland (1 shared paper)Stipan Jonjić (1 shared paper)
- Journals
- Journal of Virology (3 papers)Genome Biology and Evolution (2 papers)New Phytologist (2 papers)Applied and Environmental Microbiology (2 papers)Journal of General Virology (2 papers)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Karin Münch
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Epidemiology 733
- Parasitology 143
- Immunology 407
- Virology 87
- Genetics 149
Countries citing papers authored by Karin Münch
This map shows the geographic impact of Karin Münch'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 Karin Münch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Münch more than expected).
Fields of papers citing papers by Karin Münch
This network shows the impact of papers produced by Karin Münch. 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 Karin Münch. The network helps show where Karin Münch may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Münch, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 355 | |
| 2 | 1985 | 348 | |
| 3 | 2014 | 87 | |
| 4 | 2013 | 67 | |
| 5 | 1986 | 61 | |
| 6 | 2010 | 59 | |
| 7 | Frequent abnormalities of the putative tumor suppressor gene FHIT at 3p14.2 in pancreatic carcinoma cell lines. | 1998 | 46 |
| 8 | 1998 | 40 | |
| 9 | 2018 | 35 | |
| 10 | 2020 | 32 | |
| 11 | 2015 | 28 | |
| 12 | 2009 | 28 | |
| 13 | 2013 | 23 | |
| 14 | 2021 | 19 | |
| 15 | 2002 | 15 | |
| 16 | 1992 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 1980 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 7 |
About Karin Münch
Karin Münch is a scholar working on Molecular Biology, Epidemiology, Genetics, Plant Science and Immunology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (6 papers), Fungal and yeast genetics research (5 papers), Herpesvirus Infections and Treatments (4 papers), Plant-Microbe Interactions and Immunity (4 papers), Immune Cell Function and Interaction (3 papers), Bacterial Genetics and Biotechnology (3 papers), Virus-based gene therapy research (3 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Epidemiology (733 citations), Parasitology (143 citations), Immunology (407 citations), Virology (87 citations) and Genetics (149 citations). Karin Münch has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Matthias J. Reddehase, U H Koszinowski, Hans‐Jörg Bühring, Wolfgang Mutter, Ulrich H. Koszinowski, Anke Lüske, F. Weiland, Stipan Jonjić, Regine Kahmann and Nicole Rössel. Their work appears in journals such as Journal of Virology, Genome Biology and Evolution, New Phytologist, Applied and Environmental Microbiology and Journal of General Virology.
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.