Raphaël Rappaport

1.9k citations
32 papers · 1.5k · h-index 23

Impact in

Papers in

Raphaël Rappaport

32 papers receiving 1.3k citations

Peers

Raphaël Rappaport
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 682
  • Reproductive Medicine 146
  • Pediatrics, Perinatology and Child Health 275
  • Genetics 290
  • Genetics 104
Replace B Boscherini with:
B Boscherini Italy
J. R. Bierich Germany
R Illig Switzerland
Inge François Belgium
P E Belchetz United Kingdom
G. Plewe Germany
R John United Kingdom
Piero Pirazzoli Italy
K Zuppinger Switzerland
Raymond V. Randall United States
Raphaël Rappaport relative to B Boscherini Italy B Boscherini's profile →
Citations per field
00.5×1.5×1.9×
B Boscherini · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989157
2 1990123
3 1987121
4 1976119
5 198390
6 198984
7 198865
8 199163
9 199162
10 198656
11 197851
12 199742
13 198142
14 198141
15 197541
16 197539
17 197435
18 197834
19 199931
20 198626

About Raphaël Rappaport

Raphaël Rappaport is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Rheumatology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Sexual Differentiation and Disorders (7 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Hormonal Regulation and Hypertension (4 papers), Urological Disorders and Treatments (3 papers), Thyroid Disorders and Treatments (3 papers), Electrolyte and hormonal disorders (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (682 citations), Reproductive Medicine (146 citations), Pediatrics, Perinatology and Child Health (275 citations), Genetics (290 citations) and Genetics (104 citations). Raphaël Rappaport has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Raja Brauner, Paul Czernichow, L. Tsagris, Odile Blanchard, Marie-Thérèse Corvol, H. Guyda, M. Broyer, Antonio Carrascosa, Barry I. Posner and Jean‐Marie Limal. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics, Clinical Endocrinology, European Journal of 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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