Fabrice Chatonnet

34 papers receiving 959 citations

Peers

Fabrice Chatonnet
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 220
  • Endocrinology, Diabetes and Metabolism 296
  • Developmental Neuroscience 35
  • Genetics 183
  • Immunology 116
Replace Daniel Pisera with:
Daniel Pisera Argentina
William J. DeVito United States
A. Bartke United States
John R. Pooley United Kingdom
Noah May United States
Tim Wintermantel Germany
Karin Wallis Sweden
Wilfried Allaerts Netherlands
Lynn P. Chorich United States
Galyna Bondar United States
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Countries citing papers authored by Fabrice Chatonnet

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Chatonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201397
2 201473
3 201362
4 201252
5 201450
6 201249
7 201548
8 200348
9 200246
10 201143
11 200238
12 201130
13 200529
14 200728
15 201927
16 200327
17 200526
18 201223
19 200622
20 202020

About Fabrice Chatonnet

Fabrice Chatonnet is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Immunology and Genetics, having authored 34 papers that have together received 966 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (10 papers), Thyroid Disorders and Treatments (8 papers), T-cell and B-cell Immunology (6 papers), Neonatal Respiratory Health Research (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Congenital heart defects research (4 papers), Immune Cell Function and Interaction (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (220 citations), Endocrinology, Diabetes and Metabolism (296 citations), Developmental Neuroscience (35 citations), Genetics (183 citations) and Immunology (116 citations). Fabrice Chatonnet has collaborated with scholars based in France, Spain and Sweden. Frequent co-authors include Frédéric Flamant, Frédéric Picou, Romain Guyot, Teddy Fauquier, Beatriz Morte, G Benoît, Muriel Thoby‐Brisson, Gilles Fortin, Jean Champagnat and Eduardo Domı́nguez del Toro. Their work appears in journals such as Respiratory Physiology & Neurobiology, European Journal of Neuroscience, Frontiers in Immunology, Molecular Endocrinology and Proceedings of the National Academy of Sciences.

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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