Claire Arnaud

93 papers receiving 3.5k citations

Peers

Claire Arnaud
Comparison fields: 5 of 126
  • Endocrine and Autonomic Systems 940
  • Physiology 1.5k
  • Immunology 582
  • Cardiology and Cardiovascular Medicine 511
  • Pharmacology 352
Replace Shunbun Kita with:
Shunbun Kita Japan
Utpal B. Pajvani United States
Yutaka Takahashi Japan
Susan Kralisch Germany
Tsu‐Shuen Tsao United States
Katherine Cianflone Canada
Takashi Kadowaki Japan
Kosaku Okubo Japan
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Citations per field
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Citations per year

Countries citing papers authored by Claire Arnaud

Since Specialization
Citations

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

Fields of papers citing papers by Claire Arnaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005358
2 2006229
3 2005198
4 2020146
5 2008146
6 2005137
7 2017132
8 2008122
9 2009108
10 2011107
11 2009104
12 200998
13 200592
14 200983
15 201982
16 201376
17 201174
18 201869
19 198560
20 200260

About Claire Arnaud

Claire Arnaud is a scholar working on Physiology, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 100 papers that have together received 3.6k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (40 papers), Neuroscience of respiration and sleep (28 papers), Adipose Tissue and Metabolism (14 papers), Cardiovascular Disease and Adiposity (13 papers), Cardiovascular and Diving-Related Complications (10 papers), Parathyroid Disorders and Treatments (8 papers), Cardiac Ischemia and Reperfusion (6 papers) and High Altitude and Hypoxia (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (940 citations), Physiology (1.5k citations), Immunology (582 citations), Cardiology and Cardiovascular Medicine (511 citations) and Pharmacology (352 citations). Claire Arnaud has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Jean‐Louis Pépin, François Mach, Patrick Lévy, Fabienne Burger, Sabine Steffens, Maurice Demattéis, Graziano Pelli, Niels R. Veillard, Diane Godin‐Ribuot and Vincent Braunersreuther. Their work appears in journals such as European Respiratory Journal, Cardiovascular Research, Journal of the American Heart Association, Advances in experimental medicine and biology and Arteriosclerosis Thrombosis and Vascular 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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