Pierre Val

53 papers receiving 2.2k citations

Peers

Pierre Val
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 806
  • Cancer Research 392
  • Genetics 712
  • Reproductive Medicine 142
  • Surgery 644
Replace Nadia Cherradi with:
Nadia Cherradi France
Anne‐Marie Lefrançois‐Martinez France
Karine Cécile Gauthier France
Lori Therese Raetzman United States
Michelina Plateroti France
Isabelle Sahut‐Barnola France
Harry P. Elsholtz Canada
Kathleen M. Scully United States
Xiang Fu Kong United States
Olle Vidal Sweden
Pierre Val relative to Nadia Cherradi France Nadia Cherradi's profile →
Citations per field
00.5×2×2.9×
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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003226
2 2010193
3 2013160
4 2007112
5 2011100
6 201095
7 201689
8 201885
9 200684
10 201263
11 201263
12 200462
13 200655
14 200954
15 201151
16 200148
17 200447
18 200146
19 201843
20 201141

About Pierre Val

Pierre Val is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Genetics, Molecular Biology and Cell Biology, having authored 54 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), Adrenal and Paraganglionic Tumors (12 papers), Cancer, Hypoxia, and Metabolism (12 papers), Sexual Differentiation and Disorders (12 papers), Hormonal Regulation and Hypertension (11 papers), Aldose Reductase and Taurine (8 papers), Cardiac tumors and thrombi (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (806 citations), Cancer Research (392 citations), Genetics (712 citations), Reproductive Medicine (142 citations) and Surgery (644 citations). Pierre Val has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Antoine Martinez, Anne‐Marie Lefrançois‐Martinez, Amanda Swain, Isabelle Sahut‐Barnola, GEORGES VEYSSIERE, Jérôme Bertherat, Annabel Berthon, Coralie Drelon, Frédérique Tissier and Bruno Ragazzon. Their work appears in journals such as Endocrinology, Molecular and Cellular Endocrinology, Human Molecular Genetics, Endocrine Research and The Journal of Clinical Endocrinology & Metabolism.

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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