Ch. Perronne

1.1k citations
40 papers · 807 · h-index 14

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 8
    • Mycobacterium research and diagnosis 7
    • Fungal Infections and Studies 3
    • Liver Disease Diagnosis and Treatment 3

Ch. Perronne

37 papers receiving 718 citations

Peers

Ch. Perronne
Comparison fields: 5 of 81
  • Infectious Diseases 359
  • Molecular Medicine 55
  • Epidemiology 348
  • Emergency Medicine 63
  • Surgery 261
Replace S. de Marie with:
S. de Marie Netherlands
Wing Cheong Yam Hong Kong
Jacques Simkins United States
Amit Singh India
Ning‐Chi Wang Taiwan
P. Ispahani United Kingdom
Jorge Parra-Ruiz Spain
Lawrence H. Dall United States
P. Cruaud France
Conrad J. Wilkowske United States
Ch. Perronne relative to S. de Marie Netherlands S. de Marie's profile →
Citations per field
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S. de Marie · 1×
Citations per year

Countries citing papers authored by Ch. Perronne

Since Specialization
Citations

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

Fields of papers citing papers by Ch. Perronne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994206
2 199178
3 198968
4 199459
5
Role of IgG and complement component C5 in the initial course of experimental cryptococcosis.
198957
6 199235
7 200631
8 201731
9 201831
10 199130
11 198725
12 199421
13 199317
14 199216
15 199713
16 199312
17 199512
18 201711
19 19916
20 20106

About Ch. Perronne

Ch. Perronne is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Molecular Medicine and Emergency Medicine, having authored 40 papers that have together received 807 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (7 papers), Infectious Diseases and Tuberculosis (4 papers), Hepatitis C virus research (4 papers), Fungal Infections and Studies (3 papers), Respiratory and Cough-Related Research (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (359 citations), Molecular Medicine (55 citations), Epidemiology (348 citations), Emergency Medicine (63 citations) and Surgery (261 citations). Ch. Perronne has collaborated with scholars based in France, Switzerland and Ivory Coast. Frequent co-authors include Catherine Leport, J. L. Vildé, Dominique Salmon‐Céron, J. Saba, Marcel Francis Kahn, Jacques H.E. Grosset, Jean Louis Vilde, C. Truffot-Pernot, Françoise Dromer and Pascale Longuet. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, International Journal of Infectious Diseases, Research in Microbiology, Journal of Travel Medicine and Clinical 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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