Raphaël Bejuit

14 papers receiving 921 citations

Raphaël Bejuit's Hit Papers

Inhibition of CD40L with Frexalimab in Multiple Sclerosis 2024 · 60 citations
600+1+2Years since publication50100150200

Peers

Raphaël Bejuit
Comparison fields: 5 of 81
  • Geriatrics and Gerontology 158
  • Neurology 178
  • Physiology 237
  • Pathology and Forensic Medicine 118
  • Physical Therapy, Sports Therapy and Rehabilitation 38
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Po–Jung Pan Taiwan
Duncan R. Forsyth United Kingdom
Noah Kolb United States
Beatrice Di Capua Italy
Mark S. Currie United States
Weibing Wu China
Aleksandra Golenia Poland
Cheng-Guang Huang China
Siyang Lin China
Rie Aoki Japan
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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

14 of 14 papers shown
#Work
1
Multicomponent intervention to prevent mobility disability in frail older adults: randomised controlled trial (SPRINTT project)
Hit paper breakdown →
2022227
2 2002145
3 2017143
4 201883
5 202078
6 200267
7 201860
8
Inhibition of CD40L with Frexalimab in Multiple Sclerosis
Hit paper breakdown →
202460
9 202134
10 200029
11 202310
12 20206
13
[Arrhythmia in patients with low cardiac output after valvular surgery. Randomized, double-blind comparative study of dobutamine versus enoximone].
19903
14 20241

About Raphaël Bejuit

Raphaël Bejuit is a scholar working on Geriatrics and Gerontology, Pathology and Forensic Medicine, Neurology, Physiology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 946 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Nutrition and Health in Aging (3 papers), Frailty in Older Adults (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Malaria Research and Control (2 papers), Multiple Sclerosis Research Studies (2 papers), Cardiac Valve Diseases and Treatments (1 paper) and Heart Failure Treatment and Management (1 paper). The work is most often cited by research in Geriatrics and Gerontology (158 citations), Neurology (178 citations), Physiology (237 citations), Pathology and Forensic Medicine (118 citations) and Physical Therapy, Sports Therapy and Rehabilitation (38 citations). Raphaël Bejuit has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Philippe Truffinet, Gilbert Bensimon, Lucette Lacomblez, Vincent Meininger, Jean-Christophe Delumeau, Christina Soubrane, Peter K. Wung, Luca Richeldi, Bruno Crestani and Ganesh Raghu. Their work appears in journals such as Malaria Journal, Annals of the Rheumatic Diseases, European Respiratory Journal, BMJ and Multiple Sclerosis and Related Disorders.

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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