Shaun Purcell

4.5k citations
20 papers · 3.5k indexed · 2 hit papers · h-index 18

Shaun Purcell

20 papers receiving 3.4k citations

Hit Papers

Genetic Power Calculator: design of linkage andassociatio...1.6k200220262010201850010001.5k

Peers

Shaun Purcell
Comparison fields: 5 of 146
  • Experimental and Cognitive Psychology 751
  • Genetics 1.2k
  • Clinical Psychology 833
  • Biological Psychiatry 56
  • Behavioral Neuroscience 78
Replace Oliver S. P. Davis with:
Oliver S. P. Davis United Kingdom
Gu Zhu Australia
Michel G. Nivard Netherlands
Maciej Trzaskowski United Kingdom
G. Caroline M. van Baal Netherlands
Michelle Luciano United Kingdom
Laramie E. Duncan United States
Jouke‐Jan Hottenga Netherlands
Laura A. Baker United States
Gail Davies United Kingdom
Shaun Purcell relative to Oliver S. P. Davis United Kingdom Oliver S. P. Davis's profile →
Citations per field
00.5×1.5×
Oliver S. P. Davis · 1×
Citations per year

Countries citing papers authored by Shaun Purcell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Shaun Purcell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaun Purcell Line = papers co-authored together Shaun Purcell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2007119
2 200545
3 200520
4 200553
5 200572
6 200435
7 200428
8 200470
9 2003236
10 200339
11
Variance Components Models for Gene–Environment Interaction in Twin Analysisbreakdown →
2002701
12 200235
13
Genetic Power Calculator: design of linkage andassociation genetic mapping studies of complex traitsbreakdown →
20021624
14 200153
15 200125
16 200018
17 200073
18 199912
19 199916
20 1998182

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), Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic Associations and Epidemiology (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Language Development and Disorders (3 papers) and Child Abuse and Trauma (2 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.

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.

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