Brad Verhulst

3.0k total citations · 1 hit paper
64 papers, 1.7k citations indexed

About

Brad Verhulst is a scholar working on Experimental and Cognitive Psychology, Genetics and Clinical Psychology. According to data from OpenAlex, Brad Verhulst has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Experimental and Cognitive Psychology, 24 papers in Genetics and 20 papers in Clinical Psychology. Recurrent topics in Brad Verhulst's work include Genetic Associations and Epidemiology (21 papers), Child and Adolescent Psychosocial and Emotional Development (14 papers) and Cognitive Abilities and Testing (13 papers). Brad Verhulst is often cited by papers focused on Genetic Associations and Epidemiology (21 papers), Child and Adolescent Psychosocial and Emotional Development (14 papers) and Cognitive Abilities and Testing (13 papers). Brad Verhulst collaborates with scholars based in United States, Australia and Netherlands. Brad Verhulst's co-authors include Michael C. Neale, Kenneth S. Kendler, Peter Hatemi, Lindon J. Eaves, Nicholas G. Martin, Lindsey Clark Levitan, Milton Lodge, Howard Lavine, Sarah E. Medland and Roxann Roberson‐Nay and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

Brad Verhulst

61 papers receiving 1.7k citations

Hit Papers

The heritability of alcohol use disorders: a meta-analysi... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Brad Verhulst
Gary Adamson United Kingdom
Stéphane Rothen Switzerland
Anthony Walsh United States
Julie Maslowsky United States
Sophie von Stumm United Kingdom
R Jardine Australia
Nicole Harlaar United States
Daniel Rodriguez United States
Eva Krapohl United Kingdom
Gary Adamson United Kingdom
Brad Verhulst
Citations per year, relative to Brad Verhulst Brad Verhulst (= 1×) peers Gary Adamson

Countries citing papers authored by Brad Verhulst

Since Specialization
Citations

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

Fields of papers citing papers by Brad Verhulst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brad Verhulst. 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 Brad Verhulst. The network helps show where Brad Verhulst may publish in the future.

Co-authorship network of co-authors of Brad Verhulst

This figure shows the co-authorship network connecting the top 25 collaborators of Brad Verhulst. A scholar is included among the top collaborators of Brad Verhulst 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 Brad Verhulst. Brad Verhulst 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.
Dolan, Conor V., Jouke‐Jan Hottenga, René Pool, et al.. (2025). Unidirectional and bidirectional causation between smoking and blood DNA methylation: evidence from twin-based Mendelian randomisation. European Journal of Epidemiology. 40(1). 55–69.
2.
Verhulst, Brad, Yi Zhou, Luís Fernando Silva Castro-de-Araujo, et al.. (2024). Using Instrumental Variables to Measure Causation over Time in Cross-Lagged Panel Models. Multivariate Behavioral Research. 59(2). 342–370. 3 indexed citations
3.
Cai, Na, Brad Verhulst, Ole A. Andreassen, et al.. (2024). Assessment and ascertainment in psychiatric molecular genetics: challenges and opportunities for cross-disorder research. Molecular Psychiatry. 30(4). 1627–1638. 4 indexed citations
4.
Madrid‐Valero, Juan J., Brad Verhulst, José A López-López, & Juan R. Ordoñana. (2024). Calculating Within-Pair Difference Scores in the Co-twin Control Design. Effects of Alternative Strategies. Behavior Genetics. 54(5). 426–435. 1 indexed citations
5.
Weaver, Katherine, et al.. (2024). Using Alternative Definitions of Controls to Increase Statistical Power in GWAS. Behavior Genetics. 54(4). 353–366.
6.
Verhulst, Brad, et al.. (2023). Toward the Next Generation of Precision Medicine. Policy Insights from the Behavioral and Brain Sciences. 10(2). 256–263. 1 indexed citations
7.
Castro-de-Araujo, Luís Fernando Silva, et al.. (2022). MR-DoC2: Bidirectional Causal Modeling with Instrumental Variables and Data from Relatives. Behavior Genetics. 53(1). 63–73. 10 indexed citations
8.
Verhulst, Brad & Michael C. Neale. (2021). Best Practices for Binary and Ordinal Data Analyses. Behavior Genetics. 51(3). 204–214. 41 indexed citations
9.
Verhulst, Brad, Shaunna L. Clark, Jingchun Chen, et al.. (2021). Clarifying the Genetic Influences on Nicotine Dependence and Quantity of Use in Cigarette Smokers. Behavior Genetics. 51(4). 375–384. 2 indexed citations
10.
Bourdon, Jessica L., Jeanne E. Savage, Brad Verhulst, et al.. (2019). The Genetic and Environmental Relationship Between Childhood Behavioral Inhibition and Preadolescent Anxiety. Twin Research and Human Genetics. 22(1). 48–55. 10 indexed citations
11.
Whitfield, John B., Mengzhen Liu, Sarah E. Medland, et al.. (2019). Associations between polygenic risk for tobacco and alcohol use and liability to tobacco and alcohol use, and psychiatric disorders in an independent sample of 13,999 Australian adults. Drug and Alcohol Dependence. 205. 107704–107704. 14 indexed citations
12.
Verhulst, Brad, Michael C. Neale, Lindon J. Eaves, et al.. (2018). Extended Twin Study of Alcohol Use in Virginia and Australia. Twin Research and Human Genetics. 21(3). 163–178. 4 indexed citations
13.
Rappaport, Lance M., Dever M. Carney, Brad Verhulst, et al.. (2018). A Developmental Twin Study of Emotion Recognition and Its Negative Affective Clinical Correlates. Journal of the American Academy of Child & Adolescent Psychiatry. 57(12). 925–933.e3. 18 indexed citations
14.
Bornovalova, Marina A., Brad Verhulst, Heather E. Webber, et al.. (2017). Genetic and environmental influences on the codevelopment among borderline personality disorder traits, major depression symptoms, and substance use disorder symptoms from adolescence to young adulthood. Development and Psychopathology. 30(1). 49–65. 22 indexed citations
16.
Long, Elizabeth C., Brad Verhulst, Steven H. Aggen, Kenneth S. Kendler, & Nathan A. Gillespie. (2017). Contributions of Genes and Environment to Developmental Change in Alcohol Use. Behavior Genetics. 47(5). 498–506. 13 indexed citations
17.
Rappaport, Lance M., Brad Verhulst, Dever M. Carney, et al.. (2017). Test–retest reliability of the facial expression labeling task.. Psychological Assessment. 29(12). 1537–1542. 18 indexed citations
18.
Verhulst, Brad & Michael C. Neale. (2016). Minor Allele Frequency Changes the Nature of Genotype by Environment Interactions. Behavior Genetics. 46(5). 726–733. 4 indexed citations
19.
Hatemi, Peter & Brad Verhulst. (2015). Political Attitudes Develop Independently of Personality Traits. PLoS ONE. 10(3). e0118106–e0118106. 44 indexed citations
20.
Verhulst, Brad, Lindon J. Eaves, & Peter Hatemi. (2011). Correlation not Causation: The Relationship between Personality Traits and Political Ideologies. American Journal of Political Science. 56(1). 34–51. 147 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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