Laura J. Bierut
- Epidemiology top 0.5%
- Molecular Biology top 2%
- Physiology top 0.5%
- Clinical Psychology top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Co-authors
- Richard A. GruczaKathleen K. BucholzPatricia Cavazos‐RehgMelissa J. KraussMarc A. SchuckitJohn I. NürnbergerHoward J. EdenbergAlison Goate
- Topics
- Smoking Behavior and Cessation (101 papers)Substance Abuse Treatment and Outcomes (80 papers)Genetic Associations and Epidemiology (71 papers)
- Journals
- NeuronSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Laura J. Bierut
313 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Epidemiology 3.7k
- Molecular Biology 3.1k
- Physiology 2.9k
- Clinical Psychology 2.3k
- Cellular and Molecular Neuroscience 2.2k
Countries citing papers authored by Laura J. Bierut
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 49 | |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | 51 | |
| 13 | 24 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | Rare missense variants in CHRNB3 and CHRNA3 are associated with risk of alcohol and cocaine dependence | 1 |
| 17 | 27 | |
| 18 | A New Statistic to Evaluate Imputation Reliability | 3 |
| 19 | 202 | |
| 20 | Common and specific factors in the familial transmission of substance dependence | 4 |
About Laura J. Bierut
Laura J. Bierut is a scholar working on Physiology, Genetics and Applied Psychology, having authored 322 papers that have together received 13.6k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (101 papers), Substance Abuse Treatment and Outcomes (80 papers) and Genetic Associations and Epidemiology (71 papers). The work is most often cited by research in Applied Psychology (797 citations), Cellular and Molecular Neuroscience (2.2k citations) and Clinical Psychology (2.3k citations). Laura J. Bierut has collaborated with scholars based in United States, Australia and Canada. Frequent 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. Their work appears in journals such as Neuron, SHILAP Revista de lepidopterología and Bioinformatics.
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.