Rachel Reynaud

3.3k citations
99 papers · 1.6k indexed · h-index 24

Rachel Reynaud

91 papers receiving 1.5k citations

Peers

Rachel Reynaud
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 899
  • Reproductive Medicine 184
  • Genetics 495
  • Neurology 127
  • Molecular Biology 538
Replace B Boscherini with:
B Boscherini Italy
M O Savage United Kingdom
Carlos Alberto Longui Brazil
Zeynep Şıklar Türkiye
Horacio M. Domené Argentina
Jose Bernardo Quintos United States
Wolfgang Rabl Germany
Helen L. Storr United Kingdom
Mariella Valenzise Italy
Christine Trivin France
Rachel Reynaud relative to B Boscherini Italy B Boscherini's profile →
Citations per field
00.5×3.8×
B Boscherini · 1×
Citations per year

Countries citing papers authored by Rachel Reynaud

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Reynaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20232
5 20231
6 20222
7 20223
8 202117
9
Using Digital Droplet Polymerase Chain Reaction to Detect the Mosaic GNAS Mutations in Whole Blood DNA or Circulating Cell-Free DNA in Fibrous Dysplasia and McCune-Albright Syndrome
20181
10 201713
11 201126
12 20114
13 200966
14 20081
15 20080
16 20081
17 20082
18 200433
19
Causes génétiques de déficit en hormone de croissance
20021
20 200051

About Rachel Reynaud

Rachel Reynaud is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Reproductive Medicine, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (32 papers), Diabetes Management and Research (12 papers), Pituitary Gland Disorders and Treatments (12 papers), Genetic Syndromes and Imprinting (10 papers), Sexual Differentiation and Disorders (9 papers), Congenital heart defects research (8 papers), Diabetes and associated disorders (7 papers) and Adrenal Hormones and Disorders (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (899 citations), Reproductive Medicine (184 citations) and Genetics (495 citations). Rachel Reynaud has collaborated with scholars based in France, Canada and Tunisia. Frequent co-authors include Thierry Brue, Alexandru Saveanu, Anne Barlier, A Enjalbert, Frédéric Castinetti, Sophie Vallette-Kasic, G. Simonin, Juliane Léger, Paul Czernichow and Nicolas Jullien. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and PEDIATRICS.

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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