Elliot M. Tucker–Drob

22.4k total citations · 4 hit papers
160 papers, 8.3k citations indexed

About

Elliot M. Tucker–Drob is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Genetics. According to data from OpenAlex, Elliot M. Tucker–Drob has authored 160 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Experimental and Cognitive Psychology, 38 papers in Clinical Psychology and 36 papers in Genetics. Recurrent topics in Elliot M. Tucker–Drob's work include Cognitive Abilities and Testing (73 papers), Genetic Associations and Epidemiology (32 papers) and Functional Brain Connectivity Studies (24 papers). Elliot M. Tucker–Drob is often cited by papers focused on Cognitive Abilities and Testing (73 papers), Genetic Associations and Epidemiology (32 papers) and Functional Brain Connectivity Studies (24 papers). Elliot M. Tucker–Drob collaborates with scholars based in United States, United Kingdom and Germany. Elliot M. Tucker–Drob's co-authors include K. Paige Harden, Daniel A. Briley, Stuart J. Ritchie, Timothy A. Salthouse, Ulman Lindenberger, Ian J. Deary, Laura E. Engelhardt, Martin Lövdén, Laura Fratiglioni and M. Maria Glymour and has published in prestigious journals such as Science, Journal of Personality and Social Psychology and Nature Communications.

In The Last Decade

Elliot M. Tucker–Drob

155 papers receiving 8.1k citations

Hit Papers

Education and Cognitive Functioning Across the Life ... 2016 2026 2019 2022 2020 2019 2018 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Education and Cognitive Functioning Across the Life Span
    2020 681 citations Martin Lövdén, Ulman Lindenberger et al. PubMed profile →
  2. Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits
    2019 422 citations Andrew D. Grotzinger, Mijke Rhemtulla et al. Nature Human Behaviour profile →
  3. How Much Does Education Improve Intelligence? A Meta-Analysis
    2018 364 citations Stuart J. Ritchie, Elliot M. Tucker–Drob Psychological Science profile →
  4. Ageing and brain white matter structure in 3,513 UK Biobank participants
    2016 321 citations Simon R. Cox, Stuart J. Ritchie et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elliot M. Tucker–Drob United States 49 2.9k 1.7k 1.6k 1.3k 1.1k 160 8.3k
Conor V. Dolan Netherlands 51 3.7k 1.3× 1.8k 1.1× 2.3k 1.4× 1.0k 0.8× 1.3k 1.2× 231 10.0k
Kristen C. Jacobson United States 40 1.8k 0.6× 1.6k 0.9× 2.5k 1.5× 1.1k 0.9× 899 0.8× 141 7.8k
Timothy C. Bates United Kingdom 44 2.5k 0.9× 1.6k 0.9× 1.3k 0.8× 617 0.5× 1.1k 1.0× 187 7.6k
Meike Bartels Netherlands 53 2.8k 1.0× 2.2k 1.3× 4.2k 2.6× 1.6k 1.2× 2.0k 1.7× 296 11.2k
Chandra A. Reynolds United States 50 2.4k 0.8× 1.5k 0.9× 2.9k 1.8× 2.6k 2.0× 1.4k 1.2× 244 11.8k
Daniel W. Belsky United States 53 2.5k 0.8× 1.3k 0.8× 4.2k 2.6× 1.6k 1.2× 1.3k 1.2× 179 13.9k
Stephen A. Petrill United States 48 2.2k 0.8× 1.0k 0.6× 2.0k 1.3× 790 0.6× 877 0.8× 170 7.2k
Hermine H. Maes United States 49 2.3k 0.8× 824 0.5× 3.2k 2.0× 906 0.7× 2.1k 1.8× 170 9.8k
Wesley K. Thompson United States 46 1.8k 0.6× 2.7k 1.6× 1.4k 0.9× 1.2k 0.9× 1.7k 1.5× 184 8.3k
Rebecca M. Jones United States 22 1.3k 0.4× 3.2k 1.9× 2.4k 1.5× 935 0.7× 485 0.4× 45 7.2k

Countries citing papers authored by Elliot M. Tucker–Drob

Since Specialization
Citations

This map shows the geographic impact of Elliot M. Tucker–Drob'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 Elliot M. Tucker–Drob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elliot M. Tucker–Drob more than expected).

Fields of papers citing papers by Elliot M. Tucker–Drob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elliot M. Tucker–Drob. 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 Elliot M. Tucker–Drob. The network helps show where Elliot M. Tucker–Drob may publish in the future.

Co-authorship network of co-authors of Elliot M. Tucker–Drob

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

All Works

20 of 20 papers shown
1.
2.
Buchanan, Colin R., Ian J. Deary, Elliot M. Tucker–Drob, et al.. (2025). Relative Strength Variability Measures for Brain Structural Connectomes and Their Relationship With Cognitive Functioning. Human Brain Mapping. 46(11). e70314–e70314.
3.
Shen, Xueyi, Aleks Stolicyn, Mark J. Adams, et al.. (2024). A comprehensive hierarchical comparison of structural connectomes in Major Depressive Disorder cases v. controls in two large population samples. Psychological Medicine. 54(10). 2515–2526.
4.
Stolicyn, Aleks, Xueyi Shen, Mark J. Adams, et al.. (2023). Classification accuracy of structural and functional connectomes across different depressive phenotypes. Imaging Neuroscience. 2. 1 indexed citations
5.
Fürtjes, Anna E., Ryan Arathimos, Jonathan R. I. Coleman, et al.. (2023). General dimensions of human brain morphometry inferred from genome‐wide association data. Human Brain Mapping. 44(8). 3311–3323. 15 indexed citations
6.
Madole, James W., Colin R. Buchanan, Mijke Rhemtulla, et al.. (2023). Strong intercorrelations among global graph-theoretic indices of structural connectivity in the human brain. NeuroImage. 275. 120160–120160. 7 indexed citations
7.
Tucker–Drob, Elliot M., Javier de la Fuente, Ylva Köhncke, et al.. (2022). A strong dependency between changes in fluid and crystallized abilities in human cognitive aging. Science Advances. 8(5). eabj2422–eabj2422. 33 indexed citations
8.
Raffington, Laurel, Aditi Sabhlok, Travis T. Mallard, et al.. (2022). Socially Stratified Epigenetic Profiles Are Associated With Cognitive Functioning in Children and Adolescents. Psychological Science. 34(2). 170–185. 18 indexed citations
9.
Grotzinger, Andrew D., Christina M. Lill, Lars Bertram, et al.. (2022). Genetic associations with learning over 100 days of practice. npj Science of Learning. 7(1). 7–7. 1 indexed citations
10.
Grotzinger, Andrew D., Javier de la Fuente, Florian Privé, Michel G. Nivard, & Elliot M. Tucker–Drob. (2022). Pervasive Downward Bias in Estimates of Liability-Scale Heritability in Genome-wide Association Study Meta-analysis: A Simple Solution. Biological Psychiatry. 93(1). 29–36. 32 indexed citations
11.
Potter, Joseph E., Peter J. Rentfrow, Samuel D. Gosling, et al.. (2021). Geographic variation in personality is associated with fertility across the United States. PubMed. 2. 3 indexed citations
12.
Buchanan, Colin R., Mark E. Bastin, Stuart J. Ritchie, et al.. (2020). The effect of network thresholding and weighting on structural brain networks in the UK Biobank. NeuroImage. 211. 116443–116443. 81 indexed citations
13.
Fuente, Javier de la, Gail Davies, Andrew D. Grotzinger, Elliot M. Tucker–Drob, & Ian J. Deary. (2020). A general dimension of genetic sharing across diverse cognitive traits inferred from molecular data. Nature Human Behaviour. 5(1). 49–58. 56 indexed citations
14.
Harden, K. Paige, Benjamin W. Domingue, Daniel W. Belsky, et al.. (2020). Genetic associations with mathematics tracking and persistence in secondary school. npj Science of Learning. 5(1). 1–1. 42 indexed citations
15.
Malanchini, Margherita, Kaili Rimfeld, Zhe Wang, et al.. (2020). Genetic factors underlie the association between anxiety, attitudes and performance in mathematics. Translational Psychiatry. 10(1). 12–12. 22 indexed citations
16.
Tucker–Drob, Elliot M., Daniel A. Briley, Laura E. Engelhardt, Frank D. Mann, & K. Paige Harden. (2016). Genetically-mediated associations between measures of childhood character and academic achievement.. Journal of Personality and Social Psychology. 111(5). 790–815. 97 indexed citations
17.
18.
Mann, Frank D., Natalie Kretsch, Jennifer L. Tackett, K. Paige Harden, & Elliot M. Tucker–Drob. (2014). Person×environment interactions on adolescent delinquency: Sensation seeking, peer deviance and parental monitoring. Personality and Individual Differences. 76. 129–134. 58 indexed citations
19.
Tucker–Drob, Elliot M., Daniel A. Briley, John M. Starr, & Ian J. Deary. (2014). Structure and correlates of cognitive aging in a narrow age cohort.. Psychology and Aging. 29(2). 236–249. 52 indexed citations
20.
Briley, Daniel A. & Elliot M. Tucker–Drob. (2013). Explaining the Increasing Heritability of Cognitive Ability Across Development. Psychological Science. 24(9). 1704–1713. 123 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Conor V. Dolan Breakdown of academic impact, for papers by Kristen C. Jacobson Breakdown of academic impact, for papers by Timothy C. Bates Breakdown of academic impact, for papers by Meike Bartels Breakdown of academic impact, for papers by Chandra A. Reynolds Breakdown of academic impact, for papers by Daniel W. Belsky Breakdown of academic impact, for papers by Stephen A. Petrill Breakdown of academic impact, for papers by Hermine H. Maes Breakdown of academic impact, for papers by Wesley K. Thompson Breakdown of academic impact, for papers by Rebecca M. Jones
Rankless by CCL
2026