Benoît Loup

411 citations
30 papers · 295 · h-index 11

Impact in

Papers in

Benoît Loup

30 papers receiving 266 citations

Peers

Benoît Loup
Comparison fields: 5 of 72
  • Health, Toxicology and Mutagenesis 110
  • Equine 9
  • Endocrinology, Diabetes and Metabolism 52
  • Reproductive Medicine 22
  • Pollution 28
Replace A. Berrini with:
A. Berrini Italy
Helga Sauerwein Germany
Samir Raychoudhury United States
Xuan G. Luong United States
Abhay Singh Yadav India
Tannia Gracia United States
Poulomi Bhattacharya United States
Ye Bi China
Jayaprakash Aravindakshan Canada
C. R. Krishnamurti Canada
Benoît Loup relative to A. Berrini Italy A. Berrini's profile →
Citations per field
00.5×1.5×2.1×
A. Berrini · 1×
Citations per year

Countries citing papers authored by Benoît Loup

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Loup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201042
2 201040
3 201640
4 200723
5 201717
6 201711
7 202210
8 201310
9 201710
10 202010
11 202210
12 20208
13 20218
14 20178
15 20208
16 20216
17 20235
18 20234
19 20174
20 20214

About Benoît Loup

Benoît Loup is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis, Spectroscopy and Oncology, having authored 30 papers that have together received 295 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Toxic Organic Pollutants Impact (3 papers), Molecular Biology Techniques and Applications (3 papers), Bone health and treatments (3 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (110 citations), Equine (9 citations), Endocrinology, Diabetes and Metabolism (52 citations), Reproductive Medicine (22 citations) and Pollution (28 citations). Benoît Loup has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Marie‐Agnès Popot, Patrice Garcia, Ludovic Bailly‐Chouriberry, Béatrice Mandon‐Pepin, Paul Fowler, Corinne Cotinot, Vivian Delcourt, Richard M. Sharpe, Michelle Bellingham and Yves Bonnaire. Their work appears in journals such as Drug Testing and Analysis, Analytical Chemistry, Scientific Reports, Biology of Reproduction and animal.

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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