A.A.C. de Wit
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock 3
- Animal Science and Zoology top 5%
- Reproductive Medicine top 10%
- Sperm and Testicular Function 4
- Genetics top 10%
- Genetic and phenotypic traits in livestock 6
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Animal Genetics and Reproduction 2
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- Reproductive Biology and Fertility 7
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- Muscle Physiology and Disorders 2
- Molecular Biology Techniques and Applications 2
- Co-authors
- M.F.W. te PasTh.A.M. KruipM. CagnazzoR. DavoliA. van der SchansM.H. PoolJan PriemVincenzo Russo
- Partner nations
- NetherlandsItalyPoland
In The Last Decade
A.A.C. de Wit
17 papers receiving 420 citations
Peers
Comparison fields: 5 of 45
- Agronomy and Crop Science 120
- Animal Science and Zoology 108
- Reproductive Medicine 79
- Genetics 195
- Public Health, Environmental and Occupational Health 116
Countries citing papers authored by A.A.C. de Wit
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2015 | 7 | |
| 3 | 2012 | 10 | |
| 4 | 2011 | 1 | |
| 5 | 2010 | 49 | |
| 6 | 2010 | 14 | |
| 7 | 2009 | 17 | |
| 8 | 2008 | 22 | |
| 9 | 2007 | 62 | |
| 10 | 2006 | 36 | |
| 11 | 2006 | 85 | |
| 12 | Muscle transcriptomes of Duroc and Pietrain pig breeds during prenatal formation of skeletal muscle tissue using microarray technology | 2005 | 11 |
| 13 | 2001 | 6 | |
| 14 | 2001 | 42 | |
| 15 | 1994 | 24 | |
| 16 | 1992 | 4 | |
| 17 | 1991 | 51 |
About A.A.C. de Wit
A.A.C. de Wit is a scholar working on Reproductive Medicine, Agronomy and Crop Science, Genetics, Public Health, Environmental and Occupational Health and Animal Science and Zoology, having authored 17 papers that have together received 446 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 Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Agronomy and Crop Science (120 citations), Animal Science and Zoology (108 citations), Reproductive Medicine (79 citations), Genetics (195 citations) and Public Health, Environmental and Occupational Health (116 citations). A.A.C. de Wit has collaborated with scholars based in Netherlands, Italy and Poland. Frequent co-authors include M.F.W. te Pas, Th.A.M. Kruip, M. Cagnazzo, R. Davoli, A. van der Schans, M.H. Pool, Jan Priem, Vincenzo Russo, Lucette A. J. van der Westerlaken and Harry Boer. Their work appears in journals such as animal, Theriogenology, Vaccine, Molecular Immunology 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.