Christine Couldrey
- Molecular Biology
- Genetics top 5%
- Oncology
- Cancer Research top 10%
- Immunology
- Co-authors
- Katsuhide YoshidomeMasaaki ShibataMiriam R. AnverThomas JohnsonThomas LopdellMark CarltonMartin EvansWilliam H Colledge
- Topics
- Genetic and phenotypic traits in livestock (13 papers)Epigenetics and DNA Methylation (10 papers)Animal Genetics and Reproduction (10 papers)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
Christine Couldrey
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 584
- Genetics 465
- Oncology 231
- Cancer Research 218
- Immunology 98
Countries citing papers authored by Christine Couldrey
This map shows the geographic impact of Christine Couldrey'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 Christine Couldrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Couldrey more than expected).
Fields of papers citing papers by Christine Couldrey
This network shows the impact of papers produced by Christine Couldrey. 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 Christine Couldrey. The network helps show where Christine Couldrey may publish in the future.
Co-authorship network of co-authors of Christine Couldrey
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Couldrey. A scholar is included among the top collaborators of Christine Couldrey 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 Christine Couldrey. Christine Couldrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 25 | |
| 5 | 6 | |
| 6 | BRIEF COMMUNICATION: Reproductive performance of herds milked once a day all season compared with herds milked twice a day all season | 7 |
| 7 | 45 | |
| 8 | 14 | |
| 9 | Using genomic information to predict sex in dairy cattle | 5 |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | Development of epigenomic analysis in agricultural animals | 1 |
| 14 | 8 | |
| 15 | 0 | |
| 16 | 12 | |
| 17 | 13 | |
| 18 | 74 | |
| 19 | 82 | |
| 20 | 10 |
About Christine Couldrey
Christine Couldrey is a scholar working on Genetics, Cancer Research and Agronomy and Crop Science, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (13 papers), Epigenetics and DNA Methylation (10 papers) and Animal Genetics and Reproduction (10 papers). The work is most often cited by research in Genetics (465 citations), Cancer Research (218 citations) and Agronomy and Crop Science (88 citations). Christine Couldrey has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Katsuhide Yoshidome, Masaaki Shibata, Miriam R. Anver, Thomas Johnson, Thomas Lopdell, Mark Carlton, Martin Evans, William H Colledge, Richard Spelman and Kathryn Tiplady. Their work appears in journals such as Blood, PLoS ONE and Oncogene.
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.