Laura J. Bierut

39.6k total citations · 3 hit papers
322 papers, 13.6k citations indexed

About

Laura J. Bierut is a scholar working on Physiology, Epidemiology and Genetics. According to data from OpenAlex, Laura J. Bierut has authored 322 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Physiology, 93 papers in Epidemiology and 93 papers in Genetics. Recurrent topics in Laura J. Bierut's work include Smoking Behavior and Cessation (101 papers), Substance Abuse Treatment and Outcomes (80 papers) and Genetic Associations and Epidemiology (71 papers). Laura J. Bierut is often cited by papers focused on Smoking Behavior and Cessation (101 papers), Substance Abuse Treatment and Outcomes (80 papers) and Genetic Associations and Epidemiology (71 papers). Laura J. Bierut collaborates with scholars based in United States, Australia and Canada. Laura J. Bierut's co-authors include Richard A. Grucza, Kathleen K. Bucholz, Patricia Cavazos‐Rehg, Melissa J. Krauss, Marc A. Schuckit, John I. Nürnberger, Howard J. Edenberg, Alison Goate, Victor Hesselbrock and Bernice Porjesz and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Laura J. Bierut

313 papers receiving 13.2k citations

Hit Papers

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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.

Genetic and environmental contributions to alcohol dependence risk in a national twin sample: consistency of findings in women and men

1997 670 citations Andrew C. Heath, Kathleen K. Bucholz et al. profile →
Trends in Adult Alcohol Use and Binge Drinking in the Early 21st‐Century United States: A Meta‐Analysis of 6 National Survey Series

2018 289 citations Richard A. Grucza, Sarah M. Hartz et al. Alcoholism Clinical and Experimental Research profile →
Tobacco and nicotine use

2022 154 citations Megan E. Piper, Laura J. Bierut et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura J. Bierut United States	63	3.7k	3.1k	2.9k	2.3k	2.2k	322	13.6k
Danielle M. Dick United States	63	3.9k 1.1×	1.8k 0.6×	2.0k 0.7×	4.3k 1.9×	2.2k 1.0×	389	13.9k
Pamela A. F. Madden United States	68	3.9k 1.1×	2.9k 0.9×	2.5k 0.9×	4.8k 2.1×	1.6k 0.7×	289	18.1k
Arpana Agrawal United States	57	3.2k 0.9×	1.4k 0.5×	1.4k 0.5×	2.7k 1.2×	1.6k 0.7×	291	10.5k
John I. Nürnberger United States	69	3.5k 0.9×	3.8k 1.2×	1.4k 0.5×	3.7k 1.6×	4.1k 1.9×	388	19.4k
Victor Hesselbrock United States	67	5.7k 1.5×	1.9k 0.6×	1.0k 0.4×	4.2k 1.8×	3.6k 1.6×	290	15.0k
Michael J. Lyons United States	70	2.1k 0.6×	1.7k 0.5×	1.7k 0.6×	4.8k 2.1×	1.5k 0.7×	355	16.3k
Carol A. Prescott United States	69	3.5k 0.9×	1.5k 0.5×	1.3k 0.5×	9.4k 4.0×	2.3k 1.1×	206	21.5k
Seth A. Eisen United States	64	2.3k 0.6×	1.2k 0.4×	1.4k 0.5×	3.9k 1.7×	1.1k 0.5×	191	12.7k
Joel Gelernter United States	91	4.1k 1.1×	6.8k 2.2×	2.4k 0.8×	5.9k 2.5×	7.9k 3.6×	589	26.7k
Lindsay A. Farrer United States	71	2.1k 0.6×	7.4k 2.4×	7.2k 2.5×	1.3k 0.5×	3.1k 1.4×	425	23.6k

Countries citing papers authored by Laura J. Bierut

Since Specialization

Citations

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

Fields of papers citing papers by Laura J. Bierut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura J. Bierut. 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 Laura J. Bierut. The network helps show where Laura J. Bierut may publish in the future.

Co-authorship network of co-authors of Laura J. Bierut

This figure shows the co-authorship network connecting the top 25 collaborators of Laura J. Bierut. A scholar is included among the top collaborators of Laura J. Bierut 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 Laura J. Bierut. Laura J. Bierut 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

White, Julie D., Bryan C. Quach, Shizhong Han, et al.. (2024). Alcohol Use Disorder–Associated DNA Methylation in the Nucleus Accumbens and Dorsolateral Prefrontal Cortex. Biological Psychiatry Global Open Science. 4(6). 100375–100375. 1 indexed citations

White, Julie D., Bryan C. Quach, Shizhong Han, et al.. (2024). Gene expression differences associated with alcohol use disorder in human brain. Molecular Psychiatry. 30(4). 1617–1626. 3 indexed citations

Martin, Caitlin E., Hetal Patel, Joseph M. Dzierzewski, et al.. (2023). Benzodiazepine, Z-drug, and sleep medication prescriptions in male and female people with opioid use disorder on buprenorphine and comorbid insomnia: an analysis of multistate insurance claims. SLEEP. 46(6). 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

Mintz, Carrie M., Sarah M. Hartz, Sherri L. Fisher, et al.. (2021). A cascade of care for alcohol use disorder: Using 2015–2019 National Survey on Drug Use and Health data to identify gaps in past 12‐month care. Alcoholism Clinical and Experimental Research. 45(6). 1276–1286. 49 indexed citations

Mintz, Carrie M., Ned Presnall, Kevin Y. Xu, et al.. (2021). An examination between treatment type and treatment retention in persons with opioid and co-occurring alcohol use disorders. Drug and Alcohol Dependence. 226. 108886–108886. 12 indexed citations

Ramsey, Alex T., Jessica L. Bourdon, Michael J. Bray, et al.. (2020). Proof of Concept of a Personalized Genetic Risk Tool to Promote Smoking Cessation: High Acceptability and Reduced Cigarette Smoking. Cancer Prevention Research. 14(2). 253–262. 9 indexed citations

Hartz, Sarah M., et al.. (2018). Most Current Smokers Desire Genetic Susceptibility Testing and Genetically-Efficacious Medication. Journal of Neuroimmune Pharmacology. 13(4). 430–437. 10 indexed citations

Semick, Stephen A., Leonardo Collado‐Torres, Christina A. Markunas, et al.. (2018). Developmental effects of maternal smoking during pregnancy on the human frontal cortex transcriptome. Molecular Psychiatry. 25(12). 3267–3277. 16 indexed citations

10.

Teitelbaum, Aaron M., Sharon E. Murphy, Gustav Akk, et al.. (2017). Nicotine dependence is associated with functional variation in FMO3, an enzyme that metabolizes nicotine in the brain. The Pharmacogenomics Journal. 18(1). 136–143. 12 indexed citations

11.

Hartz, Sarah M., Amy C. Horton, Dana B. Hancock, et al.. (2017). Genetic correlation between smoking behaviors and schizophrenia. Schizophrenia Research. 194. 86–90. 51 indexed citations

12.

Bierut, Laura J. & David Cesarini. (2015). How Genetic and Other Biological Factors Interact with Smoking Decisions. Big Data. 3(3). 198–202. 3 indexed citations

13.

Carey, Caitlin E., Bo Zhang, Emily Drabant Conley, et al.. (2015). Monoacylglycerol lipase (MGLL) polymorphism rs604300 interacts with childhood adversity to predict cannabis dependence symptoms and amygdala habituation: Evidence from an endocannabinoid system-level analysis.. Journal of Abnormal Psychology. 124(4). 860–877. 33 indexed citations

14.

Alıev, Fazil, Leah Wetherill, Laura J. Bierut, et al.. (2015). Genes Associated With Alcohol Outcomes Show Enrichment of Effects With Broad Externalizing and Impulsivity Phenotypes in an Independent Sample. Journal of Studies on Alcohol and Drugs. 76(1). 38–46. 1 indexed citations

15.

Chen, Li‐Shiun, Timothy B. Baker, Megan E. Piper, et al.. (2014). Interplay of genetic risk (CHRNA5) and environmental risk (partner smoking) on cigarette smoking reduction. Drug and Alcohol Dependence. 143. 36–43. 14 indexed citations

16.

Walsh, Kyle M., Ivan P. Gorlov, Helen M. Hansen, et al.. (2012). Fine-mapping of the 5p15.33, 6p22.1-p21.31, and 15q25.1 Regions Identifies Functional and Histology-Specific Lung Cancer Susceptibility Loci in African-Americans. Cancer Epidemiology Biomarkers & Prevention. 22(2). 251–260. 27 indexed citations

17.

Strickland, Jaime R., et al.. (2010). Exposure to trauma: A comparison of cocaine-dependent cases and a community-matched sample. Drug and Alcohol Dependence. 112(1-2). 46–53. 27 indexed citations

18.

Peng, Lin, Sarah M. Hartz, Zhehao Zhang, et al.. (2010). A New Statistic to Evaluate Imputation Reliability. Digital Commons@Becker (Washington University School of Medicine). 3 indexed citations

19.

Saccone, Nancy L., Jen C. Wang, Naomi Breslau, et al.. (2009). The CHRNA5-CHRNA3-CHRNB4 Nicotinic Receptor Subunit Gene Cluster Affects Risk for Nicotine Dependence in African-Americans and in European-Americans. Cancer Research. 69(17). 6848–6856. 202 indexed citations

20.

Ramoni, Rachel, Nancy L. Saccone, Dorothy K. Hatsukami, Laura J. Bierut, & Marco Ramoni. (2009). A Testable Prognostic Model of Nicotine Dependence. Journal of Neurogenetics. 23(3). 283–292. 12 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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