Danielle M. Dick

32.8k total citations · 2 hit papers
389 papers, 13.9k citations indexed

About

Danielle M. Dick is a scholar working on Epidemiology, Clinical Psychology and Genetics. According to data from OpenAlex, Danielle M. Dick has authored 389 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Epidemiology, 129 papers in Clinical Psychology and 114 papers in Genetics. Recurrent topics in Danielle M. Dick's work include Substance Abuse Treatment and Outcomes (157 papers), Genetic Associations and Epidemiology (100 papers) and Child and Adolescent Psychosocial and Emotional Development (83 papers). Danielle M. Dick is often cited by papers focused on Substance Abuse Treatment and Outcomes (157 papers), Genetic Associations and Epidemiology (100 papers) and Child and Adolescent Psychosocial and Emotional Development (83 papers). Danielle M. Dick collaborates with scholars based in United States, Finland and Türkiye. Danielle M. Dick's co-authors include Jaakko Kaprio, Richard J. Rose, Richard J. Viken, Kenneth S. Kendler, Lea Pulkkinen, Tatiana Foroud, Howard J. Edenberg, Marc A. Schuckit, Victor Hesselbrock and John I. Nürnberger and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and PEDIATRICS.

In The Last Decade

Danielle M. Dick

373 papers receiving 13.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Association Between Initial Use of e-Cigarettes and Subsequent Cigarette Smoking Among Adolescents and Young Adults

2017 868 citations Danielle M. Dick et al. profile →
REVIEW: Understanding the construct of impulsivity and its relationship to alcohol use disorders

2010 559 citations Danielle M. Dick et al. Addiction Biology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Danielle M. Dick	4.3k	3.9k	2.4k	2.2k	2.1k	389	13.9k
Pamela A. F. Madden	4.8k 1.1×	3.9k 1.0×	4.5k 1.8×	1.6k 0.7×	1.9k 0.9×	289	18.1k
Victor Hesselbrock	4.2k 1.0×	5.7k 1.5×	1.9k 0.8×	3.6k 1.6×	1.8k 0.8×	290	15.0k
Arpana Agrawal	2.7k 0.6×	3.2k 0.8×	1.6k 0.6×	1.6k 0.7×	1.0k 0.5×	291	10.5k
John I. Nürnberger	3.7k 0.8×	3.5k 0.9×	4.1k 1.7×	4.1k 1.8×	2.1k 1.0×	388	19.4k
Theodore Reich	3.2k 0.7×	3.3k 0.8×	3.2k 1.3×	2.8k 1.3×	1.9k 0.9×	203	15.6k
Carol A. Prescott	9.4k 2.2×	3.5k 0.9×	2.0k 0.8×	2.3k 1.1×	5.0k 2.4×	206	21.5k
Kathleen K. Bucholz	9.3k 2.1×	9.8k 2.5×	2.2k 0.9×	3.5k 1.6×	3.1k 1.5×	461	26.3k
John K. Hewitt	6.8k 1.6×	2.1k 0.5×	2.6k 1.1×	1.4k 0.6×	5.2k 2.5×	331	17.3k
Joel Gelernter	5.9k 1.4×	4.1k 1.1×	5.6k 2.3×	7.9k 3.6×	2.1k 1.0×	589	26.7k
Wendy S. Slutske	5.1k 1.2×	3.0k 0.8×	834 0.3×	915 0.4×	1.5k 0.7×	165	10.4k

Countries citing papers authored by Danielle M. Dick

Since Specialization

Citations

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

Fields of papers citing papers by Danielle M. Dick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Dick. 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 Danielle M. Dick. The network helps show where Danielle M. Dick may publish in the future.

Co-authorship network of co-authors of Danielle M. Dick

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

All Works

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20 of 20 papers shown

Rabinowitz, Jill A., Nathaniel Thomas, Justin C. Strickland, et al.. (2025). Genetic Propensity for Delay Discounting and Educational Attainment in Adults Are Associated With Delay Discounting in Preadolescents: Findings From the Adolescent Brain Cognitive Development Study. Genes Brain & Behavior. 24(2). e70020–e70020.

Savage, Jeanne E., et al.. (2025). Drinking motives and alcohol sensitivity mediate multidimensional genetic influences on alcohol use behaviors. Alcohol Clinical and Experimental Research. 49(5). 1001–1012.

Barr, Peter B., Megan Cooke, Antti Latvala, et al.. (2024). Etiology and correlates of alcohol misuse in early midlife. Alcohol Clinical and Experimental Research. 49(2). 301–314.

Williams, Chelsea Derlan, Kaprea F. Johnson, Roseann E. Peterson, et al.. (2024). The longitudinal mediating role of sleep in associations between COVID‐19 stressors predicting mental and physical health outcomes among emerging adult college students. Stress and Health. 40(5). e3416–e3416. 2 indexed citations

Gameiro‐Ros, Isabel, Dina Popova, Zhiping P. Pang, et al.. (2023). 5. Collaborative Study on the Genetics of Alcoholism: Functional genomics. Genes Brain & Behavior. 22(5). e12855–e12855. 3 indexed citations

Dick, Danielle M., Vivia V. McCutcheon, Sally I‐Chun Kuo, et al.. (2023). The collaborative study on the genetics of alcoholism: Sample and clinical data. Genes Brain & Behavior. 22(5). e12860–e12860. 8 indexed citations

Dick, Danielle M.. (2022). The Promise and Peril of Genetics. Current Directions in Psychological Science. 31(6). 480–485. 2 indexed citations

Barr, Peter B., Antti Latvala, Sari Aaltonen, et al.. (2022). Exploring the relationships between adolescent alcohol misuse and later life health outcomes. Alcoholism Clinical and Experimental Research. 46(9). 1753–1765. 6 indexed citations

Dick, Danielle M., et al.. (2021). Genetically influenced externalizing and internalizing risk pathways as novel prevention targets.. Psychology of Addictive Behaviors. 36(6). 595–606. 7 indexed citations

10.

Bollepalli, Sailalitha, Jessica E. Salvatore, Peter B. Barr, et al.. (2020). Associations of Alcohol Consumption With Epigenome‐Wide DNA Methylation and Epigenetic Age Acceleration: Individual‐Level and Co‐twin Comparison Analyses. Alcoholism Clinical and Experimental Research. 45(2). 318–328. 21 indexed citations

11.

Chester, David S., Kathleen K. Bucholz, Grace Chan, et al.. (2020). Alcohol‐Related, Drug‐Related, and Non–Substance‐Related Aggression: 3 Facets of a Single Construct or 3 Distinct Constructs?. Alcoholism Clinical and Experimental Research. 44(9). 1852–1861. 3 indexed citations

12.

Johnson, Emma C., Celine L. St. Pierre, Jacquelyn L. Meyers, et al.. (2019). The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. Alcoholism Clinical and Experimental Research. 43(6). 1113–1125. 10 indexed citations

13.

Cooke, Megan, Zoë Neale, Peter B. Barr, et al.. (2017). The Role of Social, Familial, and Individual-Level Factors on Multiple Alcohol Use Outcomes During the First Year of University. Alcoholism Clinical and Experimental Research. 41(10). 1783–1793. 12 indexed citations

14.

Peterson, Roseann E., Alexis C. Edwards, Silviu‐Alin Bacanu, et al.. (2017). The utility of empirically assigning ancestry groups in cross‐population genetic studies of addiction. American Journal on Addictions. 26(5). 494–501. 36 indexed citations

15.

Dick, Danielle M.. (2017). Rethinking the Way We Do Research: The Benefits of Community‐Engaged, Citizen Science Approaches and Nontraditional Collaborators. Alcoholism Clinical and Experimental Research. 41(11). 1849–1856. 21 indexed citations

16.

Salvatore, Jessica E., Fazil Alıev, Alexis C. Edwards, et al.. (2014). Polygenic Scores Predict Alcohol Problems in an Independent Sample and Show Moderation by the Environment. Genes. 5(2). 330–346. 65 indexed citations

17.

Dick, Danielle M., Seung Bin Cho, Shawn J. Latendresse, et al.. (2013). Genetic influences on alcohol use across stages of development:GABRA2and longitudinal trajectories of drunkenness from adolescence to young adulthood. Addiction Biology. 19(6). 1055–1064. 34 indexed citations

18.

Kendler, Kenneth S., Gursharan Kalsi, Peter Holmans, et al.. (2011). Genomewide Association Analysis of Symptoms of Alcohol Dependence in the Molecular Genetics of Schizophrenia (MGS2) Control Sample. Alcoholism Clinical and Experimental Research. 35(5). 963–975. 102 indexed citations

19.

Kalsi, Gursharan, Po‐Hsiu Kuo, Fazil Alıev, et al.. (2010). A systematic gene-based screen of chr4q22-q32 identifies association of a novel susceptibility gene, DKK2, with the quantitative trait of alcohol dependence symptom counts. Human Molecular Genetics. 19(20). 4121–4121. 2 indexed citations

20.

Reed, Terry & Danielle M. Dick. (2003). Heritability and Validity of Healthy Physical Aging (Wellness) in Elderly Male Twins. Twin Research. 6(3). 227–234. 21 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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