Thomas Liss

1.1k total citations
17 papers, 869 citations indexed

About

Thomas Liss is a scholar working on Physiology, Applied Psychology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Thomas Liss has authored 17 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 7 papers in Applied Psychology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Thomas Liss's work include Smoking Behavior and Cessation (11 papers), Behavioral Health and Interventions (7 papers) and Obesity, Physical Activity, Diet (5 papers). Thomas Liss is often cited by papers focused on Smoking Behavior and Cessation (11 papers), Behavioral Health and Interventions (7 papers) and Obesity, Physical Activity, Diet (5 papers). Thomas Liss collaborates with scholars based in United States and France. Thomas Liss's co-authors include Suchitra Krishnan‐Sarin, Dana A. Cavallo, Amanda McFetridge, Anne E. Smith, Marc N. Potenza, Amy Duhig, Kathleen M. Carroll, Ty S. Schepis, Brady Reynolds and Rani A. Desai and has published in prestigious journals such as The Journal of Clinical Psychiatry, Drug and Alcohol Dependence and Psychology of Addictive Behaviors.

In The Last Decade

Thomas Liss

17 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Liss United States 12 287 282 237 172 129 17 869
Amanda McFetridge United States 8 234 0.8× 251 0.9× 196 0.8× 149 0.9× 119 0.9× 9 707
Jennifer M. Wray United States 12 264 0.9× 252 0.9× 209 0.9× 172 1.0× 232 1.8× 27 868
Amanda J. Quisenberry United States 19 516 1.8× 409 1.5× 142 0.6× 165 1.0× 138 1.1× 55 1.1k
Jessica Cook United States 21 455 1.6× 308 1.1× 687 2.9× 124 0.7× 253 2.0× 30 1.2k
Megan Cooke United States 13 208 0.7× 93 0.3× 162 0.7× 183 1.1× 140 1.1× 31 799
MacKenzie R. Peltier United States 14 184 0.6× 97 0.3× 270 1.1× 197 1.1× 135 1.0× 56 858
Deborah Deas United States 16 155 0.5× 89 0.3× 407 1.7× 318 1.8× 92 0.7× 30 986
Rubin Khoddam United States 13 707 2.5× 253 0.9× 256 1.1× 157 0.9× 86 0.7× 20 1.2k
Rebekka S. Palmer United States 13 94 0.3× 280 1.0× 335 1.4× 499 2.9× 120 0.9× 19 1.0k
Barbara W. Kamholz United States 16 279 1.0× 138 0.5× 554 2.3× 89 0.5× 289 2.2× 30 1.1k

Countries citing papers authored by Thomas Liss

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Liss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Liss

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

All Works

17 of 17 papers shown
2.
Pittman, Brian, Eugenia Buta, Suchitra Krishnan‐Sarin, et al.. (2018). Models for Analyzing Zero-Inflated and Overdispersed Count Data: An Application to Cigarette and Marijuana Use. Nicotine & Tobacco Research. 22(8). 1390–1398. 42 indexed citations
3.
Schepis, Ty S., et al.. (2014). Predicting Initiation of Smoking Cessation Treatment and Outcome among Adolescents Using Stressful Life Events and Coping Style. Substance Abuse. 36(4). 478–485. 3 indexed citations
4.
Krishnan‐Sarin, Suchitra, Dana A. Cavallo, Judith L. Cooney, et al.. (2013). An exploratory randomized controlled trial of a novel high-school-based smoking cessation intervention for adolescent smokers using abstinence–contingent incentives and cognitive behavioral therapy. Drug and Alcohol Dependence. 132(1-2). 346–351. 40 indexed citations
5.
Krishnan‐Sarin, Suchitra, Iris M. Balodis, Hedy Kober, et al.. (2013). An exploratory pilot study of the relationship between neural correlates of cognitive control and reduction in cigarette use among treatment-seeking adolescent smokers.. Psychology of Addictive Behaviors. 27(2). 526–532. 28 indexed citations
6.
Peters, Erica N., Judith L. Cooney, Thomas Liss, et al.. (2013). Time-course and Severity of Acute Effects of Tobacco Abstinence in Smokers with Subclinical Depressive Symptoms or Alcohol Consumption. The Journal of Smoking Cessation. 9(1). 6–16. 1 indexed citations
7.
Kong, Grace, Thomas Liss, Elizabeth K. Reynolds, et al.. (2012). A preliminary experimental investigation of peer influence on risk-taking among adolescent smokers and non-smokers. Drug and Alcohol Dependence. 129(1-2). 163–166. 45 indexed citations
8.
Cavallo, Dana A., Charla Nich, Ty S. Schepis, et al.. (2010). Preliminary Examination of Adolescent Spending in a Contingency Management-Based Smoking-Cessation Program. Journal of Child & Adolescent Substance Abuse. 19(4). 335–342. 5 indexed citations
9.
Leeman, Robert F., et al.. (2010). Nicotine dependence severity as a cross-sectional predictor of alcohol-related problems in a sample of adolescent smokers. Nicotine & Tobacco Research. 12(5). 521–524. 7 indexed citations
10.
Schepis, Ty S., Rani A. Desai, Dana A. Cavallo, et al.. (2010). Gender Differences in Adolescent Marijuana Use and Associated Psychosocial Characteristics. Journal of Addiction Medicine. 5(1). 65–73. 126 indexed citations
11.
Schepis, Ty S., Amy Duhig, Thomas Liss, et al.. (2008). Contingency management for smoking cessation: Enhancing feasibility through use of immunoassay test strips measuring cotinine. Nicotine & Tobacco Research. 10(9). 1495–1501. 26 indexed citations
12.
Smith, Anne E., Dana A. Cavallo, Amanda McFetridge, Thomas Liss, & Suchitra Krishnan‐Sarin. (2008). Preliminary examination of tobacco withdrawal in adolescent smokers during smoking cessation treatment. Nicotine & Tobacco Research. 10(7). 1253–1259. 20 indexed citations
13.
Schepis, Ty S., Rani A. Desai, Anne E. Smith, et al.. (2008). Impulsive Sensation Seeking, Parental History of Alcohol Problems, and Current Alcohol and Tobacco Use in Adolescents. Journal of Addiction Medicine. 2(4). 185–193. 48 indexed citations
14.
Cavallo, Dana A., Judith L. Cooney, Amy Duhig, et al.. (2007). Combining Cognitive Behavioral Therapy with Contingency Management for Smoking Cessation in Adolescent Smokers: A Preliminary Comparison of Two Different CBT Formats. American Journal on Addictions. 16(6). 468–474. 47 indexed citations
15.
Krishnan‐Sarin, Suchitra, Brady Reynolds, Amy Duhig, et al.. (2006). Behavioral impulsivity predicts treatment outcome in a smoking cessation program for adolescent smokers. Drug and Alcohol Dependence. 88(1). 79–82. 326 indexed citations
16.
Krishnan‐Sarin, Suchitra, Amy Duhig, Sherry A. McKee, et al.. (2006). Contingency management for smoking cessation in adolescent smokers.. Experimental and Clinical Psychopharmacology. 14(3). 306–310. 82 indexed citations
17.
O’Keefe, Christopher, et al.. (2003). Reversal of Antipsychotic-Associated Weight Gain. The Journal of Clinical Psychiatry. 64(8). 907–912. 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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