Mathieu Spriet

70 papers receiving 909 citations

Peers

Mathieu Spriet
Comparison fields: 5 of 73
  • Equine 494
  • Orthopedics and Sports Medicine 291
  • Small Animals 214
  • Genetics 178
  • Rheumatology 130
Replace Florian Geburek with:
Florian Geburek Germany
Lise Charlotte Berg Denmark
Luca Lacitignola Italy
J. M. Vilar Spain
Benjamin J. Ahern Australia
Lisa J. Zekas United States
Chad J. Zubrod United States
Marta Prades Spain
M. R. W. Smith United Kingdom
Akikazu Ishihara United States
Mathieu Spriet relative to Florian Geburek Germany Florian Geburek's profile →
Citations per field
00.5×2.8×
Florian Geburek · 1×
Citations per year

Countries citing papers authored by Mathieu Spriet

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Spriet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 201350
3 201146
4 201141
5 200737
6 200535
7 201835
8 201632
9 201129
10 201825
11 201325
12 201722
13 201522
14 201121
15 201621
16 201120
17 202019
18 200418
19 200917
20 201516

About Mathieu Spriet

Mathieu Spriet is a scholar working on Equine, Orthopedics and Sports Medicine, Small Animals, Genetics and Agronomy and Crop Science, having authored 80 papers that have together received 925 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (53 papers), Tendon Structure and Treatment (22 papers), Veterinary Orthopedics and Neurology (14 papers), Mesenchymal stem cell research (11 papers), Sports injuries and prevention (10 papers), Shoulder Injury and Treatment (9 papers), Reproductive Physiology in Livestock (8 papers) and Musculoskeletal synovial abnormalities and treatments (7 papers). The work is most often cited by research in Equine (494 citations), Orthopedics and Sports Medicine (291 citations), Small Animals (214 citations), Genetics (178 citations) and Rheumatology (130 citations). Mathieu Spriet has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Larry D. Galuppo, Dori L. Borjesson, Martin A. Vidal, Alexia L. McKnight, Monica Aleman, Kerstien A. Padgett, Allison L. Zwingenberger, Sarah M. Puchalski, Naomi J. Walker and Philip H. Kass. Their work appears in journals such as Veterinary Radiology & Ultrasound, Equine Veterinary Journal, Journal of the American Veterinary Medical Association, American Journal of Veterinary Research and Veterinary 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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