Karin Münch
- Parasitology top 5%
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research 6
- Herpesvirus Infections and Treatments 4
- Immunology top 10%
- Immune Cell Function and Interaction 3
- Virology top 5%
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- Fungal and yeast genetics research 5
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- Plant-Microbe Interactions and Immunity 4
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- Virus-based gene therapy research 3
- Bacterial Genetics and Biotechnology 3
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- Bacteriophages and microbial interactions 2
- Co-authors
- Matthias J. ReddehaseU H KoszinowskiWolfgang MutterHans‐Jörg BühringUlrich H. KoszinowskiAnke LüskeF. WeilandStipan Jonjić
- Cited by
- ParasitologyEpidemiologyImmunology
- Journals
- Journal of Virology (3 papers)Genome Biology and Evolution (2 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Karin Münch
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Parasitology 148
- Epidemiology 747
- Immunology 425
- Virology 88
- Endocrinology 29
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2021 | 5 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 33 | |
| 6 | 2015 | 26 | |
| 7 | 2014 | 84 | |
| 8 | 2013 | 66 | |
| 9 | 2010 | 59 | |
| 10 | 2009 | 28 | |
| 11 | 2008 | 1 | |
| 12 | 2002 | 15 | |
| 13 | Frequent abnormalities of the putative tumor suppressor gene FHIT at 3p14.2 in pancreatic carcinoma cell lines. | 1998 | 46 |
| 14 | 1998 | 40 | |
| 15 | 1997 | 6 | |
| 16 | 1992 | 14 | |
| 17 | 1991 | 4 | |
| 18 | 1986 | 61 | |
| 19 | 1985 | 348 | |
| 20 | 1980 | 7 |
About Karin Münch
Karin Münch is a scholar working on Genetics, Epidemiology, Plant Science, Immunology and Oncology, 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), Plant-Microbe Interactions and Immunity (4 papers), Herpesvirus Infections and Treatments (4 papers), Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Parasitology (148 citations), Epidemiology (747 citations), Immunology (425 citations), Virology (88 citations) and Endocrinology (29 citations). Karin Münch has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Matthias J. Reddehase, U H Koszinowski, Wolfgang Mutter, Hans‐Jörg Bühring, 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, Applied and Environmental Microbiology, New Phytologist 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.