W Wunderli

1.1k citations
36 papers · 810 · h-index 15

Impact in

    • Toxoplasma gondii Research Studies
    • Respiratory viral infections research
    • Influenza Virus Research Studies
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

    • Herpesvirus Infections and Treatments 10
    • Influenza Virus Research Studies 7
    • Cytomegalovirus and herpesvirus research 7
    • Respiratory viral infections research 7
    • Data-Driven Disease Surveillance 3
    • Viral gastroenteritis research and epidemiology 3

W Wunderli

35 papers receiving 778 citations

Peers

W Wunderli
Comparison fields: 5 of 73
  • Parasitology 112
  • Epidemiology 521
  • Applied Microbiology and Biotechnology 30
  • Infectious Diseases 203
  • Agronomy and Crop Science 87
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Citations per field
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Citations per year

Countries citing papers authored by W Wunderli

Since Specialization
Citations

This map shows the geographic impact of W Wunderli'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 W Wunderli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Wunderli more than expected).

Fields of papers citing papers by W Wunderli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W Wunderli. 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 W Wunderli. The network helps show where W Wunderli may publish in the future.

Co-authors

The 25 scholars most cited alongside W Wunderli, 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 W Wunderli Line = papers co-authored together W Wunderli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996135
2 2006134
3 199674
4 199659
5 198848
6 199744
7 198942
8 200341
9 200130
10 199030
11
Frequent detection of HIV- and IgG-specific IgM and IgA antibodies in HIV-positive cord-blood sera: fine analysis by western blot.
198923
12 199819
13 199719
14 200315
15 199114
16 198914
17 19969
18 19978
19 20037
20 20117

About W Wunderli

W Wunderli is a scholar working on Epidemiology, Infectious Diseases, Parasitology, Surgery and Immunology, having authored 36 papers that have together received 810 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (10 papers), Influenza Virus Research Studies (7 papers), Cytomegalovirus and herpesvirus research (7 papers), Respiratory viral infections research (7 papers), Toxoplasma gondii Research Studies (4 papers), Pediatric health and respiratory diseases (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Parasitology (112 citations), Epidemiology (521 citations), Applied Microbiology and Biotechnology (30 citations), Infectious Diseases (203 citations) and Agronomy and Crop Science (87 citations). W Wunderli has collaborated with scholars based in Switzerland, United States and Slovakia. Frequent co-authors include Laurent Kaiser, Sabine Yerly, Lionel Perrin, Yves Thomas, David Nadal, Jorge Garbino, Bernard Hirschel, R Auckenthaler, Hans Stalder and D Germann. Their work appears in journals such as Journal of Clinical Microbiology, Eurosurveillance, European Journal of Clinical Microbiology & Infectious Diseases, International Journal of Infectious Diseases and Infection.

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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