Michael Bel

664 citations
13 papers · 443 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 1
    • SARS-CoV-2 detection and testing 1
    • Viral Infections and Outbreaks Research 1

Michael Bel

13 papers receiving 419 citations

Peers

Michael Bel
Comparison fields: 5 of 54
  • Infectious Diseases 122
  • Epidemiology 206
  • Immunology 96
  • Health 24
  • Rheumatology 42
Replace G.F. Rimmelzwaan with:
G.F. Rimmelzwaan Netherlands
Stéphane G. Paquette Canada
Eitaro Suzuki Japan
María Akíko Ishida Brazil
Carolyn M. Boudreau United States
Mary Beth Barry United States
Mohamed El Idrissi Belgium
Maria Vono Switzerland
Angela Chiereghin Italy
Alexandra Serris France
Michael Bel relative to G.F. Rimmelzwaan Netherlands G.F. Rimmelzwaan's profile →
Citations per field
00.5×
G.F. Rimmelzwaan · 1×
Citations per year

Countries citing papers authored by Michael Bel

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011102
2 200960
3 201353
4 202149
5 201235
6 201135
7 201127
8 201226
9 201120
10 201413
11 201212
12 20127
13 20134

About Michael Bel

Michael Bel is a scholar working on Epidemiology, Infectious Diseases, Immunology, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 13 papers that have together received 443 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Immune Response and Inflammation (2 papers), SARS-CoV-2 detection and testing (1 paper), Immunotherapy and Immune Responses (1 paper), Mosquito-borne diseases and control (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper), Viral Infections and Outbreaks Research (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (122 citations), Epidemiology (206 citations), Immunology (96 citations), Health (24 citations) and Rheumatology (42 citations). Michael Bel has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Claire‐Anne Siegrist, Sara Meier, Laurent Kaiser, Christophe Combescure, Klara M. Posfay‐Barbe, Stéphane Grillet, Matthias Liniger, Mikhail Matrosovich, Artur Summerfield and Kenneth C. McCullough. Their work appears in journals such as The Pediatric Infectious Disease Journal, Antiviral Therapy, Journal of Virology, The Oncologist and Clinical Microbiology 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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