Mathieu Coudert

1.7k citations
50 papers · 1.4k · h-index 18

Impact in

Papers in

Mathieu Coudert

49 papers receiving 1.4k citations

Peers

Mathieu Coudert
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 327
  • Endocrinology, Diabetes and Metabolism 235
  • Reproductive Medicine 77
  • Infectious Diseases 111
  • Physical Therapy, Sports Therapy and Rehabilitation 35
Replace Izumi Kawachi with:
Izumi Kawachi Japan
David H. Margolin United States
Emmanuelle Le Page France
Dina A. Jacobs United States
Hussam Abou‐Al‐Shaar United States
Luisa Maria Caniatti Italy
Phillip M. Cox United Kingdom
Raffaele Iorio Italy
Mefkûre Eraksoy Türkiye
Ishwar C. Verma India
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Citations per field
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Izumi Kawachi · 1×
Citations per year

Countries citing papers authored by Mathieu Coudert

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Coudert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008237
2 2007154
3 2014112
4 2012109
5 201080
6 201174
7 200867
8 201258
9 201854
10 201051
11 201238
12 201137
13 201232
14 200827
15 202226
16 202125
17 201022
18 201919
19 201718
20 202216

About Mathieu Coudert

Mathieu Coudert is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Hematology, Cellular and Molecular Neuroscience and Genetics, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (13 papers), Diabetes Management and Research (8 papers), Lung Cancer Treatments and Mutations (6 papers), Genetic Neurodegenerative Diseases (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Sexual Differentiation and Disorders (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (327 citations), Endocrinology, Diabetes and Metabolism (235 citations), Reproductive Medicine (77 citations), Infectious Diseases (111 citations) and Physical Therapy, Sports Therapy and Rehabilitation (35 citations). Mathieu Coudert has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Lital Hannah Hollander, Augusto Enrico Semprini, Louis Bujan, Pietro Vernazza, Juliette Guibert, Jeanine Ohl, Alessandra Vucetich, Yvon Englert, Michael Weigel and Carole Gilling‐Smith. Their work appears in journals such as Diabetes, Diabetes Obesity and Metabolism, Movement Disorders, European Journal of Endocrinology and Annals of Oncology.

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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