Luc Peelman

225 papers receiving 4.5k citations

Peers

Luc Peelman
Comparison fields: 5 of 125
  • Equine 134
  • Agronomy and Crop Science 775
  • Reproductive Medicine 442
  • Genetics 1.2k
  • Animal Science and Zoology 434
Replace Ralf Einspanier with:
Ralf Einspanier Germany
J. L. Vallet United States
Takashi Shimizu Japan
Douglas N. Foster United States
R. K. Christenson United States
Ernst Tholen Germany
Paul M. Coussens United States
J. Cronin United Kingdom
Laurent Schibler France
U. Besenfelder Austria
Luc Peelman relative to Ralf Einspanier Germany Ralf Einspanier's profile →
Citations per field
00.5×1.7×
Ralf Einspanier · 1×
Citations per year

Countries citing papers authored by Luc Peelman

Since Specialization
Citations

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

Fields of papers citing papers by Luc Peelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20241
5 20233
6 20236
7 202247
8 20221
9 20204
10 20209
11 20193
12 201927
13 201914
14 201752
15
Genetic variability in the ovine ribosomal protein SA
20102
16
Characterization of the ovine multicopy ribosomal protein SA gene family
20081
17
Analysis of transcripts of genes associated with bovine blastocyst formation: comparison between in vivo and in vitro produced preimplantation embryos
20071
18
Ontstaansgeschiedenis van het Belgisch Witblauw rundvee en de rol van de genetica in de (verdere) ontwikkeling van dit ras
20013
19
Rechtstreekse genotypering van stress(on)gevoeligheid bij varkens met behulp van DNA onderzoek.
19938
20
Cloning, characterization and mapping of swine lymphocyte antigen class III genes
19921

About Luc Peelman

Luc Peelman is a scholar working on Equine, Agronomy and Crop Science, Genetics, Small Animals and Animal Science and Zoology, having authored 230 papers that have together received 4.7k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (33 papers), Reproductive Biology and Fertility (30 papers), Genetic Mapping and Diversity in Plants and Animals (30 papers), Animal Genetics and Reproduction (27 papers), Genetic and phenotypic traits in livestock (25 papers), RNA Research and Splicing (16 papers), Reproductive Physiology in Livestock (15 papers) and MicroRNA in disease regulation (14 papers). The work is most often cited by research in Equine (134 citations), Agronomy and Crop Science (775 citations), Reproductive Medicine (442 citations), Genetics (1.2k citations) and Animal Science and Zoology (434 citations). Luc Peelman has collaborated with scholars based in Belgium, United States and Czechia. Frequent co-authors include Mario Van Poucke, Ann Van Soom, Karen Goossens, Alex Van Zeveren, Jo Vandesompele, Christian Burvenich, Dieter Deforce, Aart de Kruif, Dirk C. de Graaf and Tim Erkens. Their work appears in journals such as Animal Genetics, Journal of Dairy Science, Reproduction Fertility and Development, Theriogenology and Journal of Veterinary Internal Medicine.

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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2026