M.F.W. te Pas

3.4k citations
105 papers · 2.5k · h-index 29

Impact in

Papers in

    • Muscle Physiology and Disorders 17
    • Genetic and phenotypic traits in livestock 27
    • Animal Genetics and Reproduction 12
    • Genetic Mapping and Diversity in Plants and Animals 9

M.F.W. te Pas

101 papers receiving 2.4k citations

Peers

M.F.W. te Pas
Comparison fields: 5 of 109
  • Animal Science and Zoology 897
  • Endocrine and Autonomic Systems 279
  • Genetics 1.1k
  • Agronomy and Crop Science 268
  • Cancer Research 250
Replace C. Óvilo with:
C. Óvilo Spain
Christopher M. Ashwell United States
Ana I. Fernández Spain
Nadine Buys Belgium
J. Estany Spain
Fabio Pilla Italy
Florence Gondret France
Ramona N. Pena Spain
R. Davoli Italy
Thomas J. Caperna United States
M.F.W. te Pas relative to C. Óvilo Spain C. Óvilo's profile →
Citations per field
00.5×1.7×
C. Óvilo · 1×
Citations per year

Countries citing papers authored by M.F.W. te Pas

Since Specialization
Citations

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

Fields of papers citing papers by M.F.W. te Pas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.F.W. te Pas. 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 M.F.W. te Pas. The network helps show where M.F.W. te Pas may publish in the future.

Co-authors

The 25 scholars most cited alongside M.F.W. te Pas, 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 M.F.W. te Pas Line = papers co-authored together M.F.W. te Pas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002158
2 1998115
3 2003110
4 199798
5 200489
6 200685
7 201074
8 200463
9 200563
10 200762
11 200560
12 200359
13 200557
14 199754
15 199947
16 199446
17 200043
18 200542
19 202139
20 200438

About M.F.W. te Pas

M.F.W. te Pas is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Physiology and Endocrine and Autonomic Systems, having authored 105 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (27 papers), Meat and Animal Product Quality (19 papers), Muscle Physiology and Disorders (17 papers), Adipose Tissue and Metabolism (12 papers), Animal Genetics and Reproduction (12 papers), Animal Nutrition and Physiology (11 papers), Regulation of Appetite and Obesity (10 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). The work is most often cited by research in Animal Science and Zoology (897 citations), Endocrine and Autonomic Systems (279 citations), Genetics (1.1k citations), Agronomy and Crop Science (268 citations) and Cancer Research (250 citations). M.F.W. te Pas has collaborated with scholars based in Netherlands, China and France. Frequent co-authors include S.C. Liefers, T. van der Lende, R.F. Veerkamp, Carole Delavaud, Yves Chilliard, R.F. Veerkamp, A. Soumillion, Frans Gerbens, G. Rettenberger and Johannes A. Lenstra. Their work appears in journals such as Animal Genetics, Journal of Animal Science, animal, Journal of Animal Breeding and Genetics and Mammalian Genome.

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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