A.A.C. de Wit

541 citations
17 papers · 466 · h-index 12

Impact in

Papers in

A.A.C. de Wit

17 papers receiving 443 citations

Peers

A.A.C. de Wit
Comparison fields: 5 of 45
  • Agronomy and Crop Science 121
  • Animal Science and Zoology 116
  • Reproductive Medicine 77
  • Genetics 183
  • Public Health, Environmental and Occupational Health 115
Replace Carlos M. Gradil with:
Carlos M. Gradil United States
M. Arul Prakash India
A.A.W.M. van Loon Netherlands
G. Vanroose Belgium
A. García-Guerra United States
Donald R. Monke United States
John Fishwick United Kingdom
Amanda Fonseca Zangirólamo Brazil
Brian L. Vander Ley United States
J. M. Garbayo Belgium
A.A.C. de Wit relative to Carlos M. Gradil United States Carlos M. Gradil's profile →
Citations per field
00.5×2.7×
Carlos M. Gradil · 1×
Citations per year

Countries citing papers authored by A.A.C. de Wit

Since Specialization
Citations

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

Fields of papers citing papers by A.A.C. de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.A.C. de Wit. 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 A.A.C. de Wit. The network helps show where A.A.C. de Wit may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200695
2 200763
3 199151
4 201050
5 200142
6 200636
7 199425
8 200824
9 200918
10 201014
11 201212
12
Muscle transcriptomes of Duroc and Pietrain pig breeds during prenatal formation of skeletal muscle tissue using microarray technology
200511
13 20158
14 20016
15 20226
16 19924
17 20111

About A.A.C. de Wit

A.A.C. de Wit is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Molecular Biology, Agronomy and Crop Science and Reproductive Medicine, having authored 17 papers that have together received 466 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Genetic and phenotypic traits in livestock (6 papers), Sperm and Testicular Function (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Reproductive Physiology in Livestock (3 papers), Animal Genetics and Reproduction (2 papers), Muscle Physiology and Disorders (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Agronomy and Crop Science (121 citations), Animal Science and Zoology (116 citations), Reproductive Medicine (77 citations), Genetics (183 citations) and Public Health, Environmental and Occupational Health (115 citations). A.A.C. de Wit has collaborated with scholars based in Netherlands, Poland and Italy. Frequent co-authors include M.F.W. te Pas, Th.A.M. Kruip, R. Davoli, M. Cagnazzo, Jan Priem, A. van der Schans, M.H. Pool, Vincenzo Russo, Lucette A. J. van der Westerlaken and W.H. Eyestone. Their work appears in journals such as Theriogenology, animal, Molecular Immunology, Journal of Animal Breeding and Genetics and Reproduction.

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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