Jean‐Marc Chatel
Impact in
- Food Science top 0.5%
- Probiotics and Fermented Foods
- Immunology and Allergy top 2%
- Food Allergy and Anaphylaxis Research
Papers in
-
- Gut microbiota and health 28
- Food Science 36
- Probiotics and Fermented Foods 35
- Co-authors
- Philippe Langella (46 shared papers)Vasco Azevedo (36 shared papers)Luis G. Bermúdez‐Humarán (18 shared papers)Anderson Miyoshi (17 shared papers)Rebeca Martín (6 shared papers)Harry Sokol (9 shared papers)Florian Chain (8 shared papers)Karine Adel‐Patient (10 shared papers)
In The Last Decade
Jean‐Marc Chatel
86 papers receiving 3.7k citations
Jean‐Marc Chatel's Hit Papers
Peers
Comparison fields: 5 of 130
- Food Science 1.3k
- Immunology and Allergy 317
- Endocrinology 206
- Biotechnology 347
- Infectious Diseases 664
Countries citing papers authored by Jean‐Marc Chatel
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
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.
All Works
Showing the 20 most-cited of 89 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 → | 2023 | 320 |
| 2 | 2017 | 315 | |
| 3 | 2011 | 211 | |
| 4 | 2017 | 183 | |
| 5 | 2013 | 135 | |
| 6 | 2011 | 118 | |
| 7 | 2016 | 115 | |
| 8 | 2021 | 105 | |
| 9 | 2012 | 93 | |
| 10 | 2009 | 92 | |
| 11 | 2005 | 90 | |
| 12 | 2000 | 82 | |
| 13 | 2003 | 80 | |
| 14 | 2001 | 78 | |
| 15 | 1997 | 73 | |
| 16 | 2013 | 72 | |
| 17 | 2017 | 65 | |
| 18 | 2015 | 64 | |
| 19 | 2017 | 57 | |
| 20 | 2019 | 56 |
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 89 papers that have together received 3.8k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (35 papers), Gut microbiota and health (28 papers), Clostridium difficile and Clostridium perfringens research (11 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), Antimicrobial Peptides and Activities (10 papers), Food Allergy and Anaphylaxis Research (10 papers), Computational Drug Discovery Methods (9 papers) and Viral gastroenteritis research and epidemiology (8 papers). The work is most often cited by research in Food Science (1.3k citations), Immunology and Allergy (317 citations), Endocrinology (206 citations), Biotechnology (347 citations) and Infectious Diseases (664 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, Rebeca Martín, Harry Sokol, Florian Chain, Karine Adel‐Patient, Philippe Langella and Pascale Kharrat. Their work appears in journals such as Microbial Cell Factories, Frontiers in Microbiology, Applied and Environmental Microbiology, PLoS ONE and Protein Expression and Purification.
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.