Benoît Aupérin

2.3k citations
28 papers · 1.9k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Benoît Aupérin

28 papers receiving 1.8k citations

Hit Papers

Exploration of the hypothalamic–pituitary–adrenal function as a tool to evaluate animal welfare 2007 · 618 citations
6182007202620132019200400600

Peers

Benoît Aupérin
Comparison fields: 5 of 110
  • Aquatic Science 670
  • Small Animals 510
  • Animal Science and Zoology 560
  • Physiology 215
  • Equine 55
Replace J. Hattingh with:
J. Hattingh South Africa
Daniela Bertotto Italy
J.S. Ottobre United States
S. Kestin United Kingdom
John Carragher Australia
C. T. Gaskins United States
Stella Chadio Greece
W. Holtz Germany
Luiz Carlos Kreutz Brazil
Børge Damsgård Norway
Benoît Aupérin relative to J. Hattingh South Africa J. Hattingh's profile →
Citations per field
00.5×4.7×
J. Hattingh · 1×
Citations per year

Countries citing papers authored by Benoît Aupérin

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Aupérin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201711
2 201634
3 2008122
4 2008152
5 200843
6 20071
7
Exploration of the hypothalamic–pituitary–adrenal function as a tool to evaluate animal welfare
Hit paper breakdown →
2007618
8 20072
9 200456
10 200387
11 200244
12 200086
13 1997115
14 199522
15 199564
16 199534
17 199430
18 199455
19 199363
20 199122

About Benoît Aupérin

Benoît Aupérin is a scholar working on Aquatic Science, Physiology, Small Animals, Ecology and Nature and Landscape Conservation, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (14 papers), Physiological and biochemical adaptations (11 papers), Aquaculture disease management and microbiota (6 papers), Reproductive biology and impacts on aquatic species (5 papers), Fish Ecology and Management Studies (4 papers), Animal Behavior and Welfare Studies (4 papers), Effects of Environmental Stressors on Livestock (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Aquatic Science (670 citations), Small Animals (510 citations), Animal Science and Zoology (560 citations), Physiology (215 citations) and Equine (55 citations). Benoît Aupérin has collaborated with scholars based in France, Morocco and Belgium. Frequent co-authors include Patrick Prunet, Michel Geslin, Stéphane Andanson, Gerhard Manteuffel, Jens Malmkvist, B. Beerda, Sabine Richard, Daniel D. Guemene, Xavier Manteca and Isabelle Veissier. Their work appears in journals such as General and Comparative Endocrinology, Aquaculture, The Anatomical Record, Journal of Molecular Endocrinology and Environmental Toxicology and Chemistry.

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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