Patrick Collombat

4.7k citations
58 papers · 3.5k · 2 hit papers · h-index 27

Impact in

Papers in

Patrick Collombat

56 papers receiving 3.4k citations

Patrick Collombat's Hit Papers

Artemisinins Target GABAA Receptor Signaling and Impair α Cell Identity 2016 · 339 citations
3390+5+11Years since publication100200300400

Peers

Patrick Collombat
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Genetics 1.7k
  • Surgery 2.4k
  • Developmental Neuroscience 127
  • Molecular Biology 1.1k
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Barak Blum United States
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Juan Antonio Reig Spain
Gabriel Fried Sweden
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Citations per year

Countries citing papers authored by Patrick Collombat

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Collombat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Ectopic Expression of Pax4 in the Mouse Pancreas Converts Progenitor Cells into α and Subsequently β Cells
Hit paper breakdown →
2009471
2
Artemisinins Target GABAA Receptor Signaling and Impair α Cell Identity
Hit paper breakdown →
2016339
3 2016276
4 2013220
5 2007215
6 2005191
7 2013173
8 2006154
9 2005150
10 2008132
11 2007123
12 2006108
13 201280
14
Artemisinins Target GABAA Receptor Signaling and Impair .ALPHA. Cell Identity
201760
15 200751
16 201350
17 201550
18 200948
19 201042
20 201241

About Patrick Collombat

Patrick Collombat is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (48 papers), Diabetes and associated disorders (35 papers), Diabetes Management and Research (22 papers), Genetics and Neurodevelopmental Disorders (8 papers), Diet, Metabolism, and Disease (7 papers), Metabolism, Diabetes, and Cancer (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Genetics (1.7k citations), Surgery (2.4k citations), Developmental Neuroscience (127 citations) and Molecular Biology (1.1k citations). Patrick Collombat has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Ahmed Mansouri, Palle Serup, Jacob Hecksher‐Sørensen, Harry Heimberg, Philippe Ravassard, Ole Madsen, Xiaobo Xu, Monica L. Courtney, Beatriz Sosa‐Pineda and Vania Broccoli. Their work appears in journals such as Cell Cycle, PLoS ONE, Cell, Diabetes Obesity and Metabolism and Developmental Biology.

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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