Carole Charlier
- Molecular Biology top 2%
- Genetics top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Cancer Research top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Michel GeorgesRobin J. LeachNanda A. SinghNoelle CockettWouter CoppietersMark LeppertFlorian CaimentXavier Tordoir
- Topics
- Genetic and phenotypic traits in livestock (31 papers)Genetic Mapping and Diversity in Plants and Animals (21 papers)Cancer-related molecular mechanisms research (17 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Carole Charlier
85 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 4.0k
- Genetics 2.8k
- Cellular and Molecular Neuroscience 1.2k
- Cancer Research 1.2k
- Cardiology and Cardiovascular Medicine 762
Countries citing papers authored by Carole Charlier
This map shows the geographic impact of Carole Charlier'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 Carole Charlier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carole Charlier more than expected).
Fields of papers citing papers by Carole Charlier
This network shows the impact of papers produced by Carole Charlier. 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 Carole Charlier. The network helps show where Carole Charlier may publish in the future.
Co-authorship network of co-authors of Carole Charlier
This figure shows the co-authorship network connecting the top 25 collaborators of Carole Charlier. A scholar is included among the top collaborators of Carole Charlier 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 Carole Charlier. Carole Charlier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 34 | |
| 6 | 55 | |
| 7 | 4 | |
| 8 | Experience from large scale use of the EuroGenomics custom SNP chip in cattle | 23 |
| 9 | High resolution mapping of cross-over events in cattle using NGS data | 2 |
| 10 | Rate of de novo mutation in dairy cattle and potential impact of reproductive technologies | 5 |
| 11 | Harnessing genomic information for livestock improvementbreakdown → | 240 |
| 12 | 73 | |
| 13 | 13 | |
| 14 | Molecular dissection of the color-sided phenotype in cattle reveals a novel mechanism of chromosome evolution involving circular shuttling intermediates. | 1 |
| 15 | 10 | |
| 16 | Congenital muscular dystonia (CMD): a new congenital pathology in Belgian Blue calves | 0 |
| 17 | 261 | |
| 18 | 169 | |
| 19 | 108 | |
| 20 | 36 |
About Carole Charlier
Carole Charlier is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 88 papers that have together received 6.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (31 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Cancer-related molecular mechanisms research (17 papers). The work is most often cited by research in Genetics (2.8k citations), Cancer Research (1.2k citations) and Cellular and Molecular Neuroscience (1.2k citations). Carole Charlier has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Michel Georges, Robin J. Leach, Nanda A. Singh, Noelle Cockett, Wouter Coppieters, Mark Leppert, Florian Caiment, Xavier Tordoir, Tracey Lewis and B.E. Reus. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.