Raphaël Bejuit

1.2k citations
10 papers · 525 · h-index 7

Impact in

Papers in

Raphaël Bejuit

10 papers receiving 510 citations

Peers

Raphaël Bejuit
Comparison fields: 5 of 76
  • Geriatrics and Gerontology 64
  • Neurology 173
  • Genetics 115
  • Pathology and Forensic Medicine 114
  • Physiology 121
Replace Megumi Yamada with:
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Jessica L. Pierce United States
Said Dahbour Jordan
Filomena Napolitano Italy
Zhou Xiao China
Jean Claude Desport France
Karen J. B. Martins Canada
S. M. Doherty United Kingdom
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Raphaël Bejuit relative to Megumi Yamada Japan Megumi Yamada's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raphaël Bejuit

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Bejuit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2002128
2 2017123
3 202072
4 201870
5 200260
6 202434
7 200028
8 20206
9
[Arrhythmia in patients with low cardiac output after valvular surgery. Randomized, double-blind comparative study of dobutamine versus enoximone].
19903
10 20241

About Raphaël Bejuit

Raphaël Bejuit is a scholar working on Genetics, Pathology and Forensic Medicine, Neurology, Organic Chemistry and Rheumatology, having authored 10 papers that have together received 525 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Synthetic Organic Chemistry Methods (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Neurological diseases and metabolism (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Geriatrics and Gerontology (64 citations), Neurology (173 citations), Genetics (115 citations), Pathology and Forensic Medicine (114 citations) and Physiology (121 citations). Raphaël Bejuit has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Philippe Truffinet, Gilbert Bensimon, Vincent Meininger, Lucette Lacomblez, Jean-Christophe Delumeau, Peter K. Wung, Christina Soubrane, Dinesh Khanna, Bruno Crestani and Ganesh Raghu. Their work appears in journals such as Annals of the Rheumatic Diseases, Multiple Sclerosis and Related Disorders, New England Journal of Medicine, European Respiratory Journal and Journal of Neurology.

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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