V. Kerlan

5.2k citations
91 papers · 1.8k · h-index 20

Impact in

Papers in

V. Kerlan

83 papers receiving 1.7k citations

Peers

V. Kerlan
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 664
  • Reproductive Medicine 165
  • Genetics 386
  • Cancer Research 165
  • Pharmacology 86
Replace Jerrold Grodin with:
Jerrold Grodin United States
N. H. Bjarnason Denmark
Ángel Ferrández Spain
Joseph M. Guileyardo United States
Adi Mehta Canada
P Lumb United Kingdom
Maria Adelaide Marini Italy
W. H. L. Hackeng Netherlands
Henning Witt Germany
Gill Rumsby United Kingdom
V. Kerlan relative to Jerrold Grodin United States Jerrold Grodin's profile →
Citations per field
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Citations per year

Countries citing papers authored by V. Kerlan

Since Specialization
Citations

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

Fields of papers citing papers by V. Kerlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003219
2 2002179
3 2016165
4 2003129
5 1992120
6 200383
7 200367
8 199459
9 202158
10 200957
11 200739
12 202134
13 201632
14 200632
15 202025
16 198525
17 201624
18 201023
19 201221
20 201221

About V. Kerlan

V. Kerlan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Obstetrics and Gynecology, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (9 papers), Diabetes Management and Research (9 papers), Adrenal and Paraganglionic Tumors (7 papers), Sexual Differentiation and Disorders (5 papers), Gestational Diabetes Research and Management (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Reproductive Biology and Fertility (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (664 citations), Reproductive Medicine (165 citations), Genetics (386 citations), Cancer Research (165 citations) and Pharmacology (86 citations). V. Kerlan has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Nathalie Roudaut, Karine Lacut, Dominique Mottier, Emmanuel Oger, Jean‐François Abgrall, Pierre‐Yves Scarabin, Marie‐Thérèse Blouch, Anne‐Paule Gimenez‐Roqueplo, Judith Favier and Sophie Christin‐Maître. Their work appears in journals such as Diabetes & Metabolism, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology and Annales d Endocrinologie.

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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