Michel Pépin
- Epidemiology top 2%
- Infectious Diseases top 1%
- Emergency Medicine top 0.5%
- Neurology top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Lena W. HolmHans von HolstPaul M. PelosoChris PaniakJ. David CassidyJörgen BorgLinda CarrollMichèle Bouloy
- Topics
- Viral Infections and Vectors (19 papers)Diphtheria, Corynebacterium, and Tetanus (13 papers)Mycobacterium research and diagnosis (12 papers)
In The Last Decade
Michel Pépin
96 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Epidemiology 1.5k
- Infectious Diseases 1.1k
- Emergency Medicine 662
- Neurology 629
- Ecology, Evolution, Behavior and Systematics 543
Countries citing papers authored by Michel Pépin
This map shows the geographic impact of Michel Pépin'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 Michel Pépin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Pépin more than expected).
Fields of papers citing papers by Michel Pépin
This network shows the impact of papers produced by Michel Pépin. 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 Michel Pépin. The network helps show where Michel Pépin may publish in the future.
Co-authorship network of co-authors of Michel Pépin
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Pépin. A scholar is included among the top collaborators of Michel Pépin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michel Pépin. Michel Pépin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Diagnostic specificity of ELISA-based tests for the detection of antibodies to Rift Valley Fever virus in French ruminants | 3 |
| 3 | 12 | |
| 4 | Rift Valley fever virus (Bunyaviridae: Phlebovirus): an update on pathogenesis, molecular epidemiology, vectors, diagnostics and preventionbreakdown → | 469 |
| 5 | 25 | |
| 6 | 41 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 16 | |
| 10 | Book review: The Emergence of the Telescope: Janssen, Lipperhey and the Unknown Man (M. Barlow Pepin) | 1 |
| 11 | 2 | |
| 12 | Disability Related Variables Associated with Loneliness among People with Disabilities | 11 |
| 13 | Caseous lymphadenitis in sheep and goats | 4 |
| 14 | 23 | |
| 15 | 34 | |
| 16 | 19 | |
| 17 | 120 | |
| 18 | 13 | |
| 19 | 30 | |
| 20 | 9 |
About Michel Pépin
Michel Pépin is a scholar working on Endocrinology, Virology and Infectious Diseases, having authored 99 papers that have together received 3.7k indexed citations. Recurring topics across this work include Viral Infections and Vectors (19 papers), Diphtheria, Corynebacterium, and Tetanus (13 papers) and Mycobacterium research and diagnosis (12 papers). The work is most often cited by research in Emergency Medicine (662 citations), Virology (293 citations) and Infectious Diseases (1.1k citations). Michel Pépin has collaborated with scholars based in France, Canada and Morocco. Frequent co-authors include Lena W. Holm, Hans von Holst, Paul M. Peloso, Chris Paniak, J. David Cassidy, Jörgen Borg, Linda Carroll, Michèle Bouloy, Janusz T. Pawęska and Alan C. Kemp. Their work appears in journals such as Journal of Virology, Virology and Personality and Individual Differences.
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.