Pierre Val

2.9k citations
53 papers · 2.3k · h-index 28

Impact in

Papers in

    • Sexual Differentiation and Disorders 12
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 17

Pierre Val

53 papers receiving 2.3k citations

Peers

Pierre Val
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 812
  • Cancer Research 409
  • Genetics 723
  • Reproductive Medicine 144
  • Surgery 661
Replace Nadia Cherradi with:
Nadia Cherradi France
Karine Gauthier France
Lori T. Raetzman United States
Anne‐Marie Lefrançois‐Martinez France
Isabelle Sahut‐Barnola France
Michelina Plateroti France
Sarah E. Flynn United States
Philip B. Daniel United States
Olle Vidal Sweden
Elzbieta Kulig United States
Pierre Val relative to Nadia Cherradi France Nadia Cherradi's profile →
Citations per field
00.5×2.9×
Nadia Cherradi · 1×
Citations per year

Countries citing papers authored by Pierre Val

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Val

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003223
2 2010193
3 2013154
4 2007113
5 201195
6 201093
7 201687
8 200684
9 201878
10 201974
11 201265
12 201264
13 200463
14 200655
15 200951
16 201150
17 200149
18 200447
19 200146
20 201140

About Pierre Val

Pierre Val is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers), Sexual Differentiation and Disorders (12 papers), Cancer, Hypoxia, and Metabolism (12 papers), Hormonal Regulation and Hypertension (11 papers), Adrenal and Paraganglionic Tumors (11 papers), Aldose Reductase and Taurine (8 papers), Hormonal and reproductive studies (5 papers) and Cardiac tumors and thrombi (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (812 citations), Cancer Research (409 citations), Genetics (723 citations), Reproductive Medicine (144 citations) and Surgery (661 citations). Pierre Val has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Antoine Martinez, Amanda Swain, Anne‐Marie Lefrançois‐Martinez, G. Veyssière, Isabelle Sahut‐Barnola, Jérôme Bertherat, Annabel Berthon, Coralie Drelon, Frédérique Tissier and Bruno Ragazzon. Their work appears in journals such as Molecular and Cellular Endocrinology, Endocrinology, Human Molecular Genetics, Endocrine Research and Molecular Endocrinology.

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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