M Clerc

857 citations
35 papers · 565 · h-index 15

Impact in

    • Reproductive tract infections research
    • Microbial infections and disease research
  • Epidemiology top 10%
    • Urinary Tract Infections Management
    • Herpesvirus Infections and Treatments
    • Mycobacterium research and diagnosis

Papers in

    • Urinary Tract Infections Management 14
    • Reproductive tract infections research 20
    • Microbial infections and disease research 4

M Clerc

32 papers receiving 515 citations

Peers

M Clerc
Comparison fields: 5 of 64
  • Microbiology 427
  • Epidemiology 239
  • Parasitology 29
  • Infectious Diseases 63
  • Clinical Biochemistry 21
Replace S K Skelton with:
S K Skelton United States
F. W. A. Johnson United Kingdom
Valeria Gaspari Italy
A. L. Quan United States
R M Woodland United Kingdom
Edou R. Heddema Netherlands
Аlevtina M. Savicheva Russia
D. Jang Canada
L Bobo United States
J. C. Wilt Canada
M Clerc relative to S K Skelton United States S K Skelton's profile →
Citations per field
00.5×
S K Skelton · 1×
Citations per year

Countries citing papers authored by M Clerc

Since Specialization
Citations

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

Fields of papers citing papers by M Clerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200872
2 200857
3 200356
4 200640
5 201138
6 201237
7 200132
8 200323
9 199821
10 199520
11 200319
12 200718
13 201017
14 201216
15 200216
16 200911
17 200910
18 201210
19 20078
20 20098

About M Clerc

M Clerc is a scholar working on Epidemiology, Microbiology, Physiology, Infectious Diseases and Molecular Biology, having authored 35 papers that have together received 565 indexed citations. Recurring topics across this work include Reproductive tract infections research (20 papers), Urinary Tract Infections Management (14 papers), Syphilis Diagnosis and Treatment (6 papers), Microbial infections and disease research (4 papers), HIV, TB, and STIs Epidemiology (4 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Amoebic Infections and Treatments (3 papers) and Medical and Biological Sciences (2 papers). The work is most often cited by research in Microbiology (427 citations), Epidemiology (239 citations), Parasitology (29 citations), Infectious Diseases (63 citations) and Clinical Biochemistry (21 citations). M Clerc has collaborated with scholars based in France, Morocco and Belize. Frequent co-authors include Cécile Bébéar, Bertille de Barbeyrac, H. Renaudin, Sabine Pereyre, Chloé Le Roy, Alain Charron, Olivia Peuchant, V. Goulet, Sophie Raherison and JL Pellegrin. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Microbiology, Eurosurveillance, Clinical Microbiology and Infection and Journal of Microbiological Methods.

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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