Chris C. A. Spencer
- Genetics top 1%
- Molecular Biology top 10%
- Epidemiology
- Plant Science top 10%
- Surgery
- Co-authors
- Peter DonnellyJonathan MarchiniZhan SuMatti PirinenGil McVeanAki S. HavulinnaSamuli RipattiChristian Benner
- Topics
- Genetic Associations and Epidemiology (15 papers)Genetic Mapping and Diversity in Plants and Animals (6 papers)Genetic and phenotypic traits in livestock (4 papers)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Chris C. A. Spencer
26 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Genetics 1.3k
- Molecular Biology 989
- Epidemiology 216
- Plant Science 174
- Surgery 150
Countries citing papers authored by Chris C. A. Spencer
This map shows the geographic impact of Chris C. A. Spencer'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 Chris C. A. Spencer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris C. A. Spencer more than expected).
Fields of papers citing papers by Chris C. A. Spencer
This network shows the impact of papers produced by Chris C. A. Spencer. 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 Chris C. A. Spencer. The network helps show where Chris C. A. Spencer may publish in the future.
Co-authorship network of co-authors of Chris C. A. Spencer
This figure shows the co-authorship network connecting the top 25 collaborators of Chris C. A. Spencer. A scholar is included among the top collaborators of Chris C. A. Spencer 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 Chris C. A. Spencer. Chris C. A. Spencer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 96 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 14 | |
| 6 | 150 | |
| 7 | FINEMAP: efficient variable selection using summary data from genome-wide association studiesbreakdown → | 350 |
| 8 | Ancient alleles and complex structural variation of pathogen receptors at the glycophorin locus | 1 |
| 9 | 83 | |
| 10 | 63 | |
| 11 | 90 | |
| 12 | 31 | |
| 13 | 115 | |
| 14 | 22 | |
| 15 | 24 | |
| 16 | 424 | |
| 17 | 23 | |
| 18 | 199 | |
| 19 | 24 | |
| 20 | 43 |
About Chris C. A. Spencer
Chris C. A. Spencer is a scholar working on Genetics, Hepatology and Endocrinology, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (15 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (989 citations) and Endocrinology (62 citations). Chris C. A. Spencer has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Peter Donnelly, Jonathan Marchini, Zhan Su, Matti Pirinen, Gil McVean, Aki S. Havulinna, Samuli Ripatti, Christian Benner, Veikko Salomaa and Graham Coop. Their work appears in journals such as Nature Genetics, Bioinformatics and Hepatology.
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.