Christopher F. Chabris

7.7k total citations
8 papers, 743 citations indexed

About

Christopher F. Chabris is a scholar working on Genetics, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Christopher F. Chabris has authored 8 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 3 papers in Experimental and Cognitive Psychology and 2 papers in Sociology and Political Science. Recurrent topics in Christopher F. Chabris's work include Genetic Associations and Epidemiology (7 papers), Cognitive Abilities and Testing (3 papers) and BRCA gene mutations in cancer (3 papers). Christopher F. Chabris is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Cognitive Abilities and Testing (3 papers) and BRCA gene mutations in cancer (3 papers). Christopher F. Chabris collaborates with scholars based in United States, Netherlands and Sweden. Christopher F. Chabris's co-authors include Daniel J. Benjamin, David Cesarini, David Laibson, James J. Lee, Magnus Johannesson, Patrik K. E. Magnusson, Dalton Conley, Matthijs J. H. M. van der Loos, Philipp Koellinger and Peter M. Visscher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and American Journal of Psychiatry.

In The Last Decade

Christopher F. Chabris

8 papers receiving 704 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher F. Chabris United States 7 333 232 102 89 84 8 743
Sofie Van Gestel Belgium 10 170 0.5× 166 0.7× 47 0.5× 98 1.1× 200 2.4× 16 662
Stefania Benónísdóttir United Kingdom 8 464 1.4× 196 0.8× 47 0.5× 149 1.7× 83 1.0× 12 952
Louise O’Donnell United States 15 273 0.8× 70 0.3× 148 1.5× 123 1.4× 71 0.8× 25 749
Amy Adkins United States 15 146 0.4× 123 0.5× 37 0.4× 106 1.2× 319 3.8× 30 808
Saskia Selzam United Kingdom 19 565 1.7× 523 2.3× 139 1.4× 133 1.5× 323 3.8× 28 1.4k
Alexander I. Young United Kingdom 14 891 2.7× 307 1.3× 64 0.6× 245 2.8× 132 1.6× 19 1.5k
Rachel Dvoskin United States 12 322 1.0× 77 0.3× 78 0.8× 108 1.2× 175 2.1× 21 1.1k
Chayna Davis United States 14 363 1.1× 112 0.5× 54 0.5× 90 1.0× 178 2.1× 24 1.2k
Michelle B. Neiss United States 13 117 0.4× 195 0.8× 58 0.6× 29 0.3× 168 2.0× 20 740
Deidra J. Young Australia 19 209 0.6× 95 0.4× 194 1.9× 45 0.5× 143 1.7× 43 955

Countries citing papers authored by Christopher F. Chabris

Since Specialization
Citations

This map shows the geographic impact of Christopher F. Chabris'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 Christopher F. Chabris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher F. Chabris more than expected).

Fields of papers citing papers by Christopher F. Chabris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher F. Chabris. 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 Christopher F. Chabris. The network helps show where Christopher F. Chabris may publish in the future.

Co-authorship network of co-authors of Christopher F. Chabris

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher F. Chabris. A scholar is included among the top collaborators of Christopher F. Chabris 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 Christopher F. Chabris. Christopher F. Chabris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Tian, Ruoyu, Tian Ge, Hyeokmoon Kweon, et al.. (2024). Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression. Nature Communications. 15(1). 1755–1755. 11 indexed citations
2.
Zheutlin, Amanda B., Jessica Dennis, Richard Karlsson Linnér, et al.. (2019). Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia in 106,160 Patients Across Four Health Care Systems. American Journal of Psychiatry. 176(10). 846–855. 129 indexed citations
3.
Lee, James J., Matt McGue, William G. Iacono, Andrew M. Michael, & Christopher F. Chabris. (2019). The causal influence of brain size on human intelligence: Evidence from within-family phenotypic associations and GWAS modeling. Intelligence. 75. 48–58. 35 indexed citations
4.
Chabris, Christopher F., James J. Lee, David Cesarini, Daniel J. Benjamin, & David Laibson. (2015). The Fourth Law of Behavior Genetics. Current Directions in Psychological Science. 24(4). 304–312. 191 indexed citations
5.
Benjamin, Daniel J., David Cesarini, Christopher T. Dawes, et al.. (2012). The genetic architecture of economic and political preferences. Proceedings of the National Academy of Sciences. 109(21). 8026–8031. 5 indexed citations
6.
Chabris, Christopher F., Benjamin Hébert, Daniel J. Benjamin, et al.. (2012). Most Reported Genetic Associations With General Intelligence Are Probably False Positives. Psychological Science. 23(11). 1314–1323. 173 indexed citations
7.
Benjamin, Daniel J., David Cesarini, Matthijs J. H. M. van der Loos, et al.. (2012). The molecular genetic architecture of economic and political preferences. EUR Research Repository (Erasmus University Rotterdam). 172 indexed citations
8.
Aharon, Itzhak, et al.. (2005). Noxious heat induces fMRI activation in two anatomically distinct clusters within the nucleus accumbens. Neuroscience Letters. 392(3). 159–164. 27 indexed citations

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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