Benoı̂t Sion

2.2k citations
44 papers · 1.9k · h-index 23

Impact in

Papers in

Benoı̂t Sion

44 papers receiving 1.8k citations

Peers

Benoı̂t Sion
Comparison fields: 5 of 97
  • Reproductive Medicine 744
  • Aging 13
  • Cancer Research 106
  • Endocrine and Autonomic Systems 40
  • Molecular Biology 377
Replace Si Brask Sonne with:
Si Brask Sonne Denmark
Daniel Barry Hardy Canada
Weijun Pang China
Xu Zhou China
Mónica Beatriz Frungieri Argentina
Anastasios E. Damdimopoulos Sweden
Niklas Andersson Sweden
Henrik Laurell France
Yugui Cui China
Mark A. Myers Australia
Benoı̂t Sion relative to Si Brask Sonne Denmark Si Brask Sonne's profile →
Citations per field
00.5×2×3.3×
Si Brask Sonne · 1×
Citations per year

Countries citing papers authored by Benoı̂t Sion

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Sion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001200
2 2010173
3 2006169
4 2006120
5 2016107
6 201099
7 200794
8 199681
9 200567
10 200664
11 201556
12 200043
13 201442
14 200640
15 201238
16 200736
17 201236
18 200431
19 200130
20 201730

About Benoı̂t Sion

Benoı̂t Sion is a scholar working on Reproductive Medicine, Physiology, Molecular Biology, Sensory Systems and Endocrine and Autonomic Systems, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sperm and Testicular Function (20 papers), Pain Mechanisms and Treatments (5 papers), Hypothalamic control of reproductive hormones (4 papers), Cholesterol and Lipid Metabolism (3 papers), Reproductive Biology and Fertility (2 papers), Mitochondrial Function and Pathology (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Reproductive Medicine (744 citations), Aging (13 citations), Cancer Research (106 citations), Endocrine and Autonomic Systems (40 citations) and Molecular Biology (377 citations). Benoı̂t Sion has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include G. Grizard, Laurent Janny, Daniel Boucher, Marie‐Paule Vasson, Florence Brugnon, Florence Caldefie‐Chezet, Arlette Tridon, Hanae Pons‐Rejraji, Jean‐Marc A. Lobaccaro and Kévin Mouzat. Their work appears in journals such as International Journal of Andrology, Molecular and Cellular Endocrinology, Human Reproduction, Fertility and Sterility and Biology of Reproduction.

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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