Marc Schuckit

5.4k total citations · 2 hit papers
64 papers, 4.2k citations indexed

About

Marc Schuckit is a scholar working on Epidemiology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marc Schuckit has authored 64 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 29 papers in Pathology and Forensic Medicine and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marc Schuckit's work include Substance Abuse Treatment and Outcomes (35 papers), Alcohol Consumption and Health Effects (29 papers) and Neurotransmitter Receptor Influence on Behavior (16 papers). Marc Schuckit is often cited by papers focused on Substance Abuse Treatment and Outcomes (35 papers), Alcohol Consumption and Health Effects (29 papers) and Neurotransmitter Receptor Influence on Behavior (16 papers). Marc Schuckit collaborates with scholars based in United States, Brazil and Australia. Marc Schuckit's co-authors include Tom L. Smith, Kathleen K. Bucholz, Victor Hesselbrock, Caroline J. Easton, Michie Hesselbrock, JAYSON E. TIPP, Cindy L. Ehlers, John I. Nürnberger, Michael R. Irwin and Victor Hesselbrock and has published in prestigious journals such as The Lancet, American Journal of Psychiatry and PEDIATRICS.

In The Last Decade

Marc Schuckit

61 papers receiving 4.0k citations

Hit Papers

A validity study of the S... 1996 2026 2006 2016 1999 1996 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Marc Schuckit 2.0k 1.1k 1.1k 914 470 64 4.2k
S H Dinwiddie 1.3k 0.6× 640 0.6× 675 0.6× 1.4k 1.5× 328 0.7× 20 3.6k
Mary‐Anne Enoch 751 0.4× 1.3k 1.2× 584 0.5× 931 1.0× 661 1.4× 60 4.3k
Shirley Y. Hill 966 0.5× 1.3k 1.1× 426 0.4× 727 0.8× 1.3k 2.7× 131 4.1k
Michael Soyka 1.2k 0.6× 935 0.8× 395 0.3× 1.1k 1.2× 481 1.0× 187 4.1k
James Poling 1.2k 0.6× 1.2k 1.0× 253 0.2× 1.3k 1.4× 276 0.6× 69 4.1k
Melanie L. Schwandt 713 0.4× 1.4k 1.2× 461 0.4× 814 0.9× 585 1.2× 165 4.6k
Ulrich W. Preuss 794 0.4× 649 0.6× 418 0.4× 1.1k 1.3× 595 1.3× 136 3.6k
Jennifer W. Tidey 1.3k 0.6× 1.3k 1.1× 311 0.3× 683 0.7× 362 0.8× 187 5.6k
Samuel Kuperman 1.3k 0.7× 1.3k 1.2× 824 0.7× 1.7k 1.9× 2.1k 4.5× 155 6.7k
Johan Franck 752 0.4× 1.6k 1.4× 389 0.3× 441 0.5× 480 1.0× 133 4.1k

Countries citing papers authored by Marc Schuckit

Since Specialization
Citations

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

Fields of papers citing papers by Marc Schuckit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Schuckit

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Schuckit. A scholar is included among the top collaborators of Marc Schuckit 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 Marc Schuckit. Marc Schuckit 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.
Dick, Danielle M., Jacquelyn L. Meyers, Fazil Alıev, et al.. (2010). Evidence for genes on chromosome 2 contributing to alcohol dependence with conduct disorder and suicide attempts. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(6). 1179–1188. 29 indexed citations
2.
Schuckit, Marc, Timothy L. Smith, Kathleen K. Bucholz, et al.. (2008). The prognostic implications of DSM-IV abuse criteria in drinking adolescents. Drug and Alcohol Dependence. 97(1-2). 94–104. 35 indexed citations
3.
Schuckit, Marc, JAYSON E. TIPP, Tom L. Smith, et al.. (2003). An evaluation of Type A and B alcoholics. Addiction. 90(9). 1189–1203. 41 indexed citations
4.
Schuckit, Marc & Tom L. Smith. (2001). Correlates of unpredicted outcomes in sons of alcoholics and controls.. Journal of Studies on Alcohol. 62(4). 477–485. 14 indexed citations
5.
Schuckit, Marc, et al.. (2001). The clinical course of alcohol dependence associated with a low level of response to alcohol. Addiction. 96(6). 903–910. 70 indexed citations
6.
Schuckit, Marc. (2000). Genetics of the Risk for Alcoholism. American Journal on Addictions. 9(2). 103–112. 113 indexed citations
7.
Schuckit, Marc, et al.. (2000). The 5-Year Clinical Course of High-Functioning Men With DSM-IV Alcohol Abuse or Dependence. American Journal of Psychiatry. 157(12). 2028–2035. 38 indexed citations
8.
Clark, Camellia P., J. Christian Gillin, Shahrokh Golshan, et al.. (1999). Polysomnography and depressive symptoms in primary alcoholics with and without a lifetime diagnosis of secondary depression and in patients with primary major depression. Journal of Affective Disorders. 52(1-3). 177–185. 22 indexed citations
9.
Hesselbrock, Michie, Caroline J. Easton, Kathleen K. Bucholz, Marc Schuckit, & Victor Hesselbrock. (1999). A validity study of the SSAGA‐a comparison with the SCAN. Addiction. 94(9). 1361–1370. 607 indexed citations breakdown →
10.
Schuckit, Marc, Jean‐Bernard Daeppen, George P. Danko, et al.. (1999). Clinical Implications for Four Drugs of the DSM-IV Distinction Between Substance Dependence With and Without a Physiological Component. American Journal of Psychiatry. 156(1). 41–49. 64 indexed citations
11.
Schuckit, Marc. (1997). Science, medicine, and the future: Substance use disorders. BMJ. 314(7094). 1605–1605. 3 indexed citations
12.
Anthenelli, Robert M., et al.. (1994). Predictors of Drinking and Driving in Healthy Young Men: A Prospective Study. The American Journal of Drug and Alcohol Abuse. 20(2). 223–235. 11 indexed citations
13.
Wall, Tamara L., Holly R. Thomasson, Marc Schuckit, & Cindy L. Ehlers. (1992). Subjective Feelings of Alcohol Intoxication in Asians with Genetic Variations of ALDH2 Alleles. Alcoholism Clinical and Experimental Research. 16(5). 991–995. 112 indexed citations
14.
Turner, Eric E., John A. Ewing, Paul D. Shilling, et al.. (1992). Lack of association between an RFLP near the D2 dopamine receptor gene and severe alcoholism. Biological Psychiatry. 31(3). 285–290. 101 indexed citations
15.
Schuckit, Marc, et al.. (1991). Substance Use Disorders. Psychiatric Services. 42(5). 471–473. 5 indexed citations
16.
Anthenelli, Robert M., Maristela Monteiro, Barbara A. Blunt, & Marc Schuckit. (1991). Amnestic Effects of Intravenous Diazepam in Healthy Young Men. The American Journal of Drug and Alcohol Abuse. 17(2). 129–136. 4 indexed citations
17.
Jernigan, Terry L., Nelson Butters, Kimberly Schafer, et al.. (1991). Reduced Cerebral Grey Matter Observed in Alcoholics Using Magnetic Resonance Imaging. Alcoholism Clinical and Experimental Research. 15(3). 418–427. 282 indexed citations
18.
Ehlers, Cindy L. & Marc Schuckit. (1990). EEG fast frequency activity in the sons of alcoholics. Biological Psychiatry. 27(6). 631–641. 81 indexed citations
19.
Monteiro, Maristela & Marc Schuckit. (1989). Alcohol, Drug, and Mental Health Problems among Jewish and Christian Men at a University. The American Journal of Drug and Alcohol Abuse. 15(4). 403–412. 23 indexed citations
20.
Schuckit, Marc. (1987). Neuropsychologic deficits and the risk for alcoholism. Neuropsychopharmacology. 1(1). 45–53. 29 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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