Mario Van Poucke
- Molecular Biology top 10%
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Agronomy and Crop Science top 2%
- Animal Science and Zoology top 2%
- Co-authors
- Luc PeelmanAlex Van ZeverenKaren GoossensJo VandesompeleAnn Van SoomTim ErkensAnn MartensCindy De Baere
- Topics
- Genetic Mapping and Diversity in Plants and Animals (23 papers)Molecular Biology Techniques and Applications (18 papers)Genetic and phenotypic traits in livestock (15 papers)
In The Last Decade
Mario Van Poucke
117 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 949
- Genetics 600
- Public Health, Environmental and Occupational Health 315
- Agronomy and Crop Science 275
- Animal Science and Zoology 236
Countries citing papers authored by Mario Van Poucke
This map shows the geographic impact of Mario Van Poucke'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 Mario Van Poucke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Van Poucke more than expected).
Fields of papers citing papers by Mario Van Poucke
This network shows the impact of papers produced by Mario Van Poucke. 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 Mario Van Poucke. The network helps show where Mario Van Poucke may publish in the future.
Co-authorship network of co-authors of Mario Van Poucke
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Van Poucke. A scholar is included among the top collaborators of Mario Van Poucke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Van Poucke. Mario Van Poucke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 27 | |
| 12 | 14 | |
| 13 | Frequency estimation of disease-causing mutations in the Belgian population of some dog breeds, part 2 : retrievers and other breed types | 1 |
| 14 | 44 | |
| 15 | Genetic variability in the ovine ribosomal protein SA | 2 |
| 16 | 1 | |
| 17 | Characterization of the ovine multicopy ribosomal protein SA gene family | 1 |
| 18 | 159 | |
| 19 | Radiation hybrid mapping of the porcine AMPD1, PKLR and CHRNB2 genes to chromosome 4 | 1 |
| 20 | 1 |
About Mario Van Poucke
Mario Van Poucke is a scholar working on Genetics, Agronomy and Crop Science and Neurology, having authored 120 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (23 papers), Molecular Biology Techniques and Applications (18 papers) and Genetic and phenotypic traits in livestock (15 papers). The work is most often cited by research in Agronomy and Crop Science (275 citations), Animal Science and Zoology (236 citations) and Genetics (600 citations). Mario Van Poucke has collaborated with scholars based in Belgium, Czechia and Germany. Frequent co-authors include Luc Peelman, Alex Van Zeveren, Karen Goossens, Jo Vandesompele, Ann Van Soom, Tim Erkens, Ann Martens, Cindy De Baere, Frank Gasthuys and A. Stratil. Their work appears in journals such as PLoS ONE, Scientific Reports and The FASEB Journal.
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.