Karin Münch

3.4k citations
25 papers · 1.4k · h-index 15

Impact in

    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
    • Toxoplasma gondii Research Studies

Papers in

    • Fungal and yeast genetics research 5
    • Cytomegalovirus and herpesvirus research 6
    • Herpesvirus Infections and Treatments 4

Karin Münch

25 papers receiving 1.3k citations

Peers

Karin Münch
Comparison fields: 5 of 88
  • Epidemiology 756
  • Parasitology 147
  • Immunology 415
  • Virology 90
  • Endocrinology 28
Replace Daniel Santos Mansur with:
Daniel Santos Mansur Brazil
T. Nicolai Siegel Germany
Patrick C. Rämer Switzerland
Abhilash I. Chiramel United States
Evelyne Mougneau France
Abel Viejo‐Borbolla Germany
J Rajcáni Slovakia
Sharon A. White United Kingdom
Frida Arrey United States
Jun Luo China
Karin Münch relative to Daniel Santos Mansur Brazil Daniel Santos Mansur's profile →
Citations per field
00.5×1.5×1.9×
Daniel Santos Mansur · 1×
Citations per year

Countries citing papers authored by Karin Münch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Karin Münch Line = papers co-authored together Karin Münch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987367
2 1985359
3 201491
4 201369
5 201064
6 198662
7
Frequent abnormalities of the putative tumor suppressor gene FHIT at 3p14.2 in pancreatic carcinoma cell lines.
199848
8 199843
9 201836
10 202036
11 200931
12 201528
13 201324
14 202122
15 200216
16 199214
17 201912
18 19808
19 20218
20 20237

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 1.4k 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 (756 citations), Parasitology (147 citations), Immunology (415 citations), Virology (90 citations) and Endocrinology (28 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, F. Weiland, Anke Lüske, Stipan Jonjić, Regine Kahmann and Nicole Rössel. Their work appears in journals such as Journal of Virology, Applied and Environmental Microbiology, New Phytologist, Genome Biology and Evolution 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.

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