Jean‐Marc Chatel

84 papers receiving 3.5k citations

Jean‐Marc Chatel's Hit Papers

Faecalibacterium: a bacterial genus with promising human health applications 2023 · 317 citations
3170+1+2Years since publication100200300

Peers

Jean‐Marc Chatel
Comparison fields: 5 of 130
  • Food Science 1.2k
  • Immunology and Allergy 303
  • Biotechnology 324
  • Infectious Diseases 635
  • Endocrinology 185
Replace Hanne Frøkiær with:
Hanne Frøkiær Denmark
Satoshi Hachimura Japan
Christian U. Riedel Germany
Flaviano S. Martins Brazil
Philippe Langella France
Fang Yan United States
Tomomi Kuwahara Japan
Kan Shida Japan
Iliyan D. Iliev United States
Jiro Nakayama Japan
Jean‐Marc Chatel relative to Hanne Frøkiær Denmark Hanne Frøkiær's profile →
Citations per field
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Hanne Frøkiær · 1×
Citations per year

Countries citing papers authored by Jean‐Marc Chatel

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Marc Chatel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Marc Chatel. 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 Jean‐Marc Chatel. The network helps show where Jean‐Marc Chatel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Faecalibacterium: a bacterial genus with promising human health applications
Hit paper breakdown →
2023317
2 2017306
3 2011199
4 2017170
5 2013126
6 2011112
7 2016111
8 2021105
9 200988
10 201288
11 200586
12 200080
13 200374
14 200173
15 199766
16 201365
17 201764
18 201556
19 201955
20 201754

About Jean‐Marc Chatel

Jean‐Marc Chatel is a scholar working on Molecular Biology, Food Science, Infectious Diseases, Pharmacology and Nutrition and Dietetics, having authored 85 papers that have together received 3.6k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (34 papers), Gut microbiota and health (28 papers), Clostridium difficile and Clostridium perfringens research (11 papers), Food Allergy and Anaphylaxis Research (10 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Antimicrobial Peptides and Activities (9 papers), Computational Drug Discovery Methods (8 papers) and Infant Nutrition and Health (7 papers). The work is most often cited by research in Food Science (1.2k citations), Immunology and Allergy (303 citations), Biotechnology (324 citations), Infectious Diseases (635 citations) and Endocrinology (185 citations). Jean‐Marc Chatel has collaborated with scholars based in France, Brazil and Argentina. Frequent co-authors include Philippe Langella, Vasco Azevedo, Luis G. Bermúdez‐Humarán, Anderson Miyoshi, Harry Sokol, Rebeca Martín, Florian Chain, Karine Adel‐Patient, Philippe Langella and Pascale Kharrat. Their work appears in journals such as Frontiers in Microbiology, Microbial Cell Factories, Applied and Environmental Microbiology, PLoS ONE and BMC Microbiology.

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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