Mark Witschi

407 citations
6 papers · 319 · h-index 5

Impact in

    • Tuberculosis Research and Epidemiology
    • Infection Control in Healthcare
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Influenza Virus Research Studies 3
    • Tuberculosis Research and Epidemiology 1
    • SARS-CoV-2 and COVID-19 Research 1
    • COVID-19 Clinical Research Studies 1

Mark Witschi

6 papers receiving 311 citations

Peers

Mark Witschi
Comparison fields: 5 of 57
  • Infectious Diseases 152
  • General Dentistry 2
  • Epidemiology 75
  • Pulmonary and Respiratory Medicine 57
  • Applied Microbiology and Biotechnology 4
Replace Gonzalo Segrelles‐Calvo with:
Gonzalo Segrelles‐Calvo Spain
Sun Hee Kwak South Korea
Mindy Marie Sampson United States
Aliasghar Farazi Iran
Chaisith Sivakorn Thailand
Isabel Sancho Spain
Iain T R Kennedy United Kingdom
Maureen Mo-Lin Wong China
Yasuhiro Tsuchido Japan
Loubna El Mansouf France
Mark Witschi relative to Gonzalo Segrelles‐Calvo Spain Gonzalo Segrelles‐Calvo's profile →
Citations per field
00.5×5×10×16×
Gonzalo Segrelles‐Calvo · 1×
Citations per year

Countries citing papers authored by Mark Witschi

Since Specialization
Citations

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

Fields of papers citing papers by Mark Witschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mark Witschi, 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 Mark Witschi Line = papers co-authored together Mark Witschi links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2008148
2 2018116
3 202030
4 200912
5 20109
6 20084

About Mark Witschi

Mark Witschi is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Surgery and Nuclear Energy and Engineering, having authored 6 papers that have together received 319 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Tuberculosis Research and Epidemiology (1 paper), Kawasaki Disease and Coronary Complications (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 epidemiological studies (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (152 citations), General Dentistry (2 citations), Epidemiology (75 citations), Pulmonary and Respiratory Medicine (57 citations) and Applied Microbiology and Biotechnology (4 citations). Mark Witschi has collaborated with scholars based in Switzerland, Germany and Sweden. Frequent co-authors include Daniel Koch, Werner Wunderli, Caroline Tapparel, Yves Thomas, Guido Vogel, Laurent Kaiser, Sebastian R. Ott, Beatriz Vidondo, Sonja J. Olsen and Yu‐Lun Liu. Their work appears in journals such as European Respiratory Journal, Virology Journal, Applied and Environmental Microbiology, The Lancet Infectious Diseases and Emerging infectious diseases.

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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