Benoı̂t Soudan

1.3k citations
50 papers · 1.0k · h-index 17

Impact in

Papers in

Benoı̂t Soudan

46 papers receiving 980 citations

Peers

Benoı̂t Soudan
Comparison fields: 5 of 87
  • Reproductive Medicine 321
  • Nephrology 125
  • Endocrinology, Diabetes and Metabolism 186
  • Public Health, Environmental and Occupational Health 155
  • Cardiology and Cardiovascular Medicine 89
Replace Natascha Schweighofer with:
Natascha Schweighofer Austria
Hae Sang Lee South Korea
A Revol France
Tom Huecksteadt United States
Roberto Giordano Italy
Ahmet Ayaz United States
R. M. Lequin Netherlands
Jason Harris United States
Inder R. Sarda Canada
Benoı̂t Soudan relative to Natascha Schweighofer Austria Natascha Schweighofer's profile →
Citations per field
00.5×6.3×
Natascha Schweighofer · 1×
Citations per year

Countries citing papers authored by Benoı̂t Soudan

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Soudan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 2004107
3 200299
4 200290
5 200066
6 200443
7 200340
8 201140
9 200428
10 200825
11 201825
12 199224
13 200623
14 199823
15 200321
16 201617
17 201316
18 200415
19 199615
20 201014

About Benoı̂t Soudan

Benoı̂t Soudan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Reproductive Medicine and Nephrology, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (10 papers), Ovarian function and disorders (7 papers), Hormonal and reproductive studies (7 papers), Parathyroid Disorders and Treatments (7 papers), Sexual Differentiation and Disorders (3 papers), Chemical Synthesis and Analysis (3 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Reproductive Medicine (321 citations), Nephrology (125 citations), Endocrinology, Diabetes and Metabolism (186 citations), Public Health, Environmental and Occupational Health (155 citations) and Cardiology and Cardiovascular Medicine (89 citations). Benoı̂t Soudan has collaborated with scholars based in France, Canada and Netherlands. Frequent co-authors include Didier Dewailly, Kevin Hogeveen, Michel Pugeat, Geoffrey L. Hammond, Patrice Cousin, Christine Decanter, Alain Duhamel, Pascal Pigny, Pascal de Groote and Daniel Tétaert. Their work appears in journals such as European Journal of Endocrinology, Journal of Clinical Investigation, AIDS, Langenbeck s Archives of Surgery and World Journal of Surgery.

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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