Stephen P. Weinstein

68 papers receiving 1.6k citations

Peers

Stephen P. Weinstein
Comparison fields: 5 of 97
  • Epidemiology 615
  • Clinical Psychology 336
  • Cellular and Molecular Neuroscience 302
  • Psychiatry and Mental health 207
  • Applied Psychology 70
Replace Gerardo González with:
Gerardo González United States
Alex Baldacchino United Kingdom
Michael J. Bohn United States
Scott Kellogg United States
Patricia Marinelli‐Casey United States
Robert C. Sterling United States
Jeanne L. Obert United States
Maureen Hillhouse United States
Joan E. Zweben United States
Conrad J. Wong United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephen P. Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Weinstein. 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 Stephen P. Weinstein. The network helps show where Stephen P. Weinstein may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen P. Weinstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen P. Weinstein Line = papers co-authored together Stephen P. Weinstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003132
2 2004119
3 200296
4 200085
5 200672
6 200269
7 201367
8 199359
9 199551
10 197949
11 199847
12 200137
13 199835
14 200833
15 200433
16 199833
17 199732
18 200130
19 200030
20 200727

About Stephen P. Weinstein

Stephen P. Weinstein is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience, Clinical Psychology and General Health Professions, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (43 papers), Opioid Use Disorder Treatment (14 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Forensic Toxicology and Drug Analysis (7 papers), Cannabis and Cannabinoid Research (7 papers), Alcohol Consumption and Health Effects (7 papers), Prenatal Substance Exposure Effects (6 papers) and Smoking Behavior and Cessation (6 papers). The work is most often cited by research in Epidemiology (615 citations), Clinical Psychology (336 citations), Cellular and Molecular Neuroscience (302 citations), Psychiatry and Mental health (207 citations) and Applied Psychology (70 citations). Stephen P. Weinstein has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Robert C. Sterling, Edward Gottheil, Ashwin A. Patkar, Allan Lundy, Ronald D. Serota, Frank T. Leone, Wade H. Berrettini, Edward Gottheil, Peter A. DeMaria and Michael J. Vergare. Their work appears in journals such as American Journal on Addictions, Journal of Addictive Diseases, Journal of Substance Abuse Treatment, The American Journal of Drug and Alcohol Abuse and The Journal of Nervous and Mental Disease.

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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