Shaun Purcell
- Genetics top 1%
- Clinical Psychology top 2%
- Experimental and Cognitive Psychology top 1%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Co-authors
- Pak C. ShamStacey S. ChernyKarestan C. KoenenTerrie E. MoffittAlan TaylorAvshalom CaspiRobert PlominThalia C. Eley
- Topics
- Cognitive Abilities and Testing (8 papers)Child and Adolescent Psychosocial and Emotional Development (8 papers)Genetic and phenotypic traits in livestock (6 papers)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Shaun Purcell
20 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Genetics 1.2k
- Clinical Psychology 833
- Experimental and Cognitive Psychology 751
- Molecular Biology 630
- Cognitive Neuroscience 291
Countries citing papers authored by Shaun Purcell
This map shows the geographic impact of Shaun Purcell'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 Shaun Purcell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun Purcell more than expected).
Fields of papers citing papers by Shaun Purcell
This network shows the impact of papers produced by Shaun Purcell. 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 Shaun Purcell. The network helps show where Shaun Purcell may publish in the future.
Co-authorship network of co-authors of Shaun Purcell
This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Purcell. A scholar is included among the top collaborators of Shaun Purcell 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 Shaun Purcell. Shaun Purcell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 119 | |
| 2 | 45 | |
| 3 | 20 | |
| 4 | 53 | |
| 5 | 72 | |
| 6 | 35 | |
| 7 | 28 | |
| 8 | 70 | |
| 9 | 236 | |
| 10 | 39 | |
| 11 | Variance Components Models for Gene–Environment Interaction in Twin Analysisbreakdown → | 701 |
| 12 | 35 | |
| 13 | Genetic Power Calculator: design of linkage andassociation genetic mapping studies of complex traitsbreakdown → | 1624 |
| 14 | 53 | |
| 15 | 25 | |
| 16 | 18 | |
| 17 | 73 | |
| 18 | 12 | |
| 19 | 16 | |
| 20 | 182 |
About Shaun Purcell
Shaun Purcell is a scholar working on Experimental and Cognitive Psychology, Genetics and Clinical Psychology, having authored 20 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cognitive Abilities and Testing (8 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (751 citations), Genetics (1.2k citations) and Clinical Psychology (833 citations). Shaun Purcell has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Pak C. Sham, Stacey S. Cherny, Karestan C. Koenen, Terrie E. Moffitt, Alan Taylor, Avshalom Caspi, Robert Plomin, Thalia C. Eley, Thomas S. Price and Philip S. Dale. Their work appears in journals such as Nature Neuroscience, Bioinformatics and Developmental Psychology.
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.