Raphaël Rappaport

1.9k citations
35 papers · 1.7k · h-index 22

Impact in

Papers in

Raphaël Rappaport

35 papers receiving 1.5k citations

Peers

Raphaël Rappaport
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 816
  • Reproductive Medicine 212
  • Rheumatology 111
  • Pediatrics, Perinatology and Child Health 99
  • Genetics 174
Replace Thomas P. Foley with:
Thomas P. Foley United States
F. De Luca Italy
Klaus Kruse Germany
Merih Berberoğlu Türkiye
R Rappaport France
Wolfgang Rabl Germany
Colin G. Beardwell United Kingdom
Dominique Simon France
John F. Crigler United States
O Butenandt Germany
Raphaël Rappaport relative to Thomas P. Foley United States Thomas P. Foley's profile →
Citations per field
00.5×1.5×2×2.4×
Thomas P. Foley · 1×
Citations per year

Countries citing papers authored by Raphaël Rappaport

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Rappaport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999178
2 1989165
3 1976123
4 1990121
5 1987120
6 198388
7 198983
8 198865
9 199163
10 199162
11 198657
12 197851
13 198143
14 197542
15 199742
16 198141
17 197539
18 197435
19 197834
20 199931

About Raphaël Rappaport

Raphaël Rappaport is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Rheumatology, Genetics and Molecular Biology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (16 papers), Sexual Differentiation and Disorders (6 papers), Adrenal Hormones and Disorders (4 papers), Hypothalamic control of reproductive hormones (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Hormonal and reproductive studies (2 papers), Estrogen and related hormone effects (2 papers) and Proteoglycans and glycosaminoglycans research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (816 citations), Reproductive Medicine (212 citations), Rheumatology (111 citations), Pediatrics, Perinatology and Child Health (99 citations) and Genetics (174 citations). Raphaël Rappaport has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Raja Brauner, Paul Czernichow, M.T. Corvol, Lydia Tsagris, M. Broyer, Harvey J Guyda, Antonio Carrascosa, Jean Marie Limal, Barry I. Posner and M C Postel-Vinay. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics, European Journal of Endocrinology, Clinical Endocrinology and Pediatric Research.

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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