Samuel Serisier

1.8k citations
26 papers · 1.4k indexed · 1 hit paper · h-index 14

Impact in

Papers in

Samuel Serisier

25 papers receiving 1.3k citations

Hit Papers

Liver lipid metabolism 2008 · 730 citations
7302008202620142020200400600

Peers

Samuel Serisier
Comparison fields: 5 of 123
  • Equine 54
  • Small Animals 155
  • Biochemistry 93
  • Biochemistry 72
  • Physiology 255
Replace Haruki Shibata with:
Haruki Shibata Japan
Giuseppina Basini Italy
John M. Brameld United Kingdom
Giovanna Trinchese Italy
Margherita Maranesi Italy
Friederike Stumpff Germany
Elke Albrecht Germany
H. J. Mersmann United States
Christelle Ramé France
Junxing Zhao China
Samuel Serisier relative to Haruki Shibata Japan Haruki Shibata's profile →
Citations per field
00.5×3.6×
Haruki Shibata · 1×
Citations per year

Countries citing papers authored by Samuel Serisier

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Serisier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202310
3 201712
4 201728
5 201611
6 201650
7 201624
8 20153
9 201543
10 201530
11 201520
12 201414
13 201463
14 201330
15 200811
16 200813
17
Liver lipid metabolism
Hit paper breakdown →
2008730
18 200770
19 20066
20 200610

About Samuel Serisier

Samuel Serisier is a scholar working on Equine, Small Animals, Genetics, Rheumatology and Developmental and Educational Psychology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Human-Animal Interaction Studies (11 papers), Veterinary Medicine and Surgery (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Veterinary Equine Medical Research (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Tea Polyphenols and Effects (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Equine (54 citations), Small Animals (155 citations), Biochemistry (93 citations), Biochemistry (72 citations) and Physiology (255 citations). Samuel Serisier has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Patrick Nguyen, Véronique Leray, Brigitte Siliart, H. Dumon, J Bloch, M.C. Díez, Lisa Wallis, Corsin A. Müller, Friederike Range and Ludwig Huber. Their work appears in journals such as BMC Veterinary Research, Journal of Animal Physiology and Animal Nutrition, PLoS ONE, Journal of Nutritional Science and Journal of Nutrition.

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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