M Chevalier

766 citations
28 papers · 575 · h-index 13

Impact in

Papers in

    • Viral Infections and Outbreaks Research 4
    • Animal Genetics and Reproduction 4
    • Hemoglobinopathies and Related Disorders 3

M Chevalier

28 papers receiving 553 citations

Peers

M Chevalier
Comparison fields: 5 of 84
  • Hepatology 185
  • Emergency Medical Services 89
  • Infectious Diseases 200
  • Modeling and Simulation 43
  • Management of Technology and Innovation 56
Replace Randall N. Hyer with:
Randall N. Hyer United States
M. R. Macnaughton United Kingdom
J. W. Mosley United States
Carlos Julio Montoya Colombia
Simeon Mining Kenya
Catherine Mundy Malawi
J E Groopman United States
F. D. Schofield United Kingdom
Géraldine Cartron France
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Citations per field
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Citations per year

Countries citing papers authored by M Chevalier

Since Specialization
Citations

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

Fields of papers citing papers by M Chevalier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006148
2
Ebola virus disease cluster in the United States--Dallas County, Texas, 2014.
201494
3 201640
4 198929
5 197928
6 199227
7 201726
8 201523
9 199122
10 201821
11
Addressing needs of contacts of Ebola patients during an investigation of an Ebola cluster in the United States - Dallas, Texas, 2014.
201520
12 201518
13 198615
14 198811
15 19788
16 20226
17 20216
18 20186
19 19805
20 19795

About M Chevalier

M Chevalier is a scholar working on Infectious Diseases, Genetics, Reproductive Medicine, Emergency Medical Services and Molecular Biology, having authored 28 papers that have together received 575 indexed citations. Recurring topics across this work include Sperm and Testicular Function (6 papers), Disaster Response and Management (5 papers), Viral Infections and Outbreaks Research (4 papers), Animal Genetics and Reproduction (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (185 citations), Emergency Medical Services (89 citations), Infectious Diseases (200 citations), Modeling and Simulation (43 citations) and Management of Technology and Innovation (56 citations). M Chevalier has collaborated with scholars based in France, United States and Uganda. Frequent co-authors include J. P. Dufaure, P. Lécher, Denis Ouzan, Sridhar V. Basavaraju, Matthew J. Kuehnert, Juliette Foucher, Stéphane Chevaliez, Christophe Hézode, P. Mélin and Albert Tran. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, AIDS Education and Prevention, Vox Sanguinis, Endocrinology and Annals of Internal Medicine.

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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