D Litt

2.7k total citations · 2 hit papers
75 papers, 1.9k citations indexed

About

D Litt is a scholar working on Epidemiology, Applied Psychology and Sociology and Political Science. According to data from OpenAlex, D Litt has authored 75 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 40 papers in Applied Psychology and 23 papers in Sociology and Political Science. Recurrent topics in D Litt's work include Substance Abuse Treatment and Outcomes (38 papers), Behavioral Health and Interventions (37 papers) and Impact of Technology on Adolescents (16 papers). D Litt is often cited by papers focused on Substance Abuse Treatment and Outcomes (38 papers), Behavioral Health and Interventions (37 papers) and Impact of Technology on Adolescents (16 papers). D Litt collaborates with scholars based in United States, Canada and Sweden. D Litt's co-authors include Melissa A. Lewis, Michelle L. Stock, Lindsey M. Rodriguez, Tara M. Dumas, Wendy E. Ellis, Sherry H. Stewart, Tonya Dodge, Clayton Neighbors, Jessica A. Blayney and Debra Kaysen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Consulting and Clinical Psychology and Computers in Human Behavior.

In The Last Decade

D Litt

69 papers receiving 1.9k citations

Hit Papers

What Does Adolescent Substance Use Look Like During the C... 2020 2026 2022 2024 2020 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Litt United States 22 783 667 634 495 402 75 1.9k
Ian P. Albery United Kingdom 25 494 0.6× 618 0.9× 564 0.9× 437 0.9× 359 0.9× 98 1.9k
Michael J. Cleveland United States 26 916 1.2× 755 1.1× 465 0.7× 827 1.7× 584 1.5× 84 2.6k
Dan J. Neal United States 20 584 0.7× 1.0k 1.5× 670 1.1× 308 0.6× 462 1.1× 28 2.0k
Arthur W. Blume United States 24 897 1.1× 909 1.4× 335 0.5× 327 0.7× 561 1.4× 68 2.3k
Nicole Fossos United States 18 522 0.7× 1.2k 1.8× 901 1.4× 347 0.7× 490 1.2× 19 1.9k
Jordan P. Davis United States 26 1.0k 1.3× 487 0.7× 247 0.4× 530 1.1× 475 1.2× 158 2.3k
Lawrence M. Scheier United States 29 1.3k 1.7× 784 1.2× 296 0.5× 469 0.9× 879 2.2× 97 2.9k
Irene M. Geisner United States 23 614 0.8× 1.5k 2.2× 1.0k 1.6× 256 0.5× 585 1.5× 46 2.3k
José Ramón Fernández Hermida Spain 26 1.0k 1.3× 776 1.2× 331 0.5× 197 0.4× 451 1.1× 136 2.3k
Randall C. Swaim United States 25 770 1.0× 646 1.0× 213 0.3× 667 1.3× 615 1.5× 83 2.4k

Countries citing papers authored by D Litt

Since Specialization
Citations

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

Fields of papers citing papers by D Litt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Litt

This figure shows the co-authorship network connecting the top 25 collaborators of D Litt. A scholar is included among the top collaborators of D Litt 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 D Litt. D Litt 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
2.
King, Kevin M., Jonas Dora, Connor McCabe, et al.. (2025). Within-day associations between affect and intentions to drink alcohol in adolescents and young adults: A registered report.. Psychology of Addictive Behaviors. 39(5). 411–430. 1 indexed citations
4.
5.
Lewis, Melissa A., Zhengyang Zhou, Anne M. Fairlie, et al.. (2024). Examining within-person associations between alcohol and cannabis use and hooking up among adolescents and young adults in the United States. Addictive Behaviors. 155. 108040–108040. 1 indexed citations
6.
Litt, D, Zhengyang Zhou, Anne M. Fairlie, et al.. (2024). A daily-level examination of willingness to pregame, blackout, and hook up across drinking days: Associations with respective behavioral outcomes among adolescents and young adults. Addictive Behaviors. 153. 108004–108004. 1 indexed citations
7.
Lewis, Melissa A., et al.. (2023). Age and Fear of Missing Out as Moderators of the Association between Peak Drinks and Alcohol-Induced Blackouts among Adolescents and Young Adults. Substance Use & Misuse. 58(6). 739–745. 1 indexed citations
8.
Ray, Anne E., Eun‐Young Mun, Melissa A. Lewis, et al.. (2023). Cross-Tailoring Integrative Alcohol and Risky Sexual Behavior Feedback for College Students: Protocol for a Hybrid Type 1 Effectiveness-Implementation Trial. JMIR Research Protocols. 12. e43986–e43986. 1 indexed citations
9.
Cristello, Julie V., D Litt, Matthew T. Sutherland, & Elisa M. Trucco. (2023). Subjective norms as a mediator between exposure to online alcohol and marijuana content and offline use among adolescents. Drug and Alcohol Review. 43(1). 111–121. 8 indexed citations
10.
Litt, D, et al.. (2023). Experimental Test of Abstaining-and-Drinking Social Media Content on Adolescent and Young Adult Social Norms and Alcohol Use. Journal of Studies on Alcohol and Drugs. 84(5). 700–709. 2 indexed citations
12.
Lewis, Melissa A., et al.. (2023). Daily-level associations between alcohol use cognitions and normative perceptions among adolescents: An intensive longitudinal study. Addictive Behaviors. 143. 107697–107697. 2 indexed citations
13.
14.
Thompson, Erika L., Tracey E. Barnett, D Litt, Erica C. Spears, & Melissa A. Lewis. (2021). Discordance Between Perinatal Alcohol Use Among Women and Provider Counseling for Alcohol Use: An Assessment of the Pregnancy Risk Assessment Monitoring System. Public Health Reports. 136(6). 719–725. 5 indexed citations
15.
Litt, D, Claes Andersson, Mats Berglund, et al.. (2021). A cross-cultural comparison of factors associated with marijuana use among college students in the United States and Sweden. The International Journal of Alcohol and Drug Research. 9(2). 52–58.
16.
Dumas, Tara M., Wendy E. Ellis, & D Litt. (2020). What Does Adolescent Substance Use Look Like During the COVID-19 Pandemic? Examining Changes in Frequency, Social Contexts, and Pandemic-Related Predictors. Journal of Adolescent Health. 67(3). 354–361. 339 indexed citations breakdown →
17.
Litt, D, et al.. (2019). Role of Social Media In Reducing Culture Shock: A Research of Interstate Migrants in Jammu. International Journal of Innovative Technology and Exploring Engineering. 9(2S3). 463–466.
18.
Barnett, Tracey E., Erika L. Thompson, D Litt, & Melissa A. Lewis. (2019). Correlates of Nonmedical Prescription Opioid Use Among U.S. Adolescents. American Journal of Preventive Medicine. 57(5). e175–e179. 17 indexed citations
19.
Lewis, Melissa A., D Litt, Jessica M. Cronce, Jessica A. Blayney, & Amanda K. Gilmore. (2012). Underestimating Protection and Overestimating Risk: Examining Descriptive Normative Perceptions and Their Association with Drinking and Sexual Behaviors. The Journal of Sex Research. 51(1). 86–96. 59 indexed citations
20.
Litt, D, et al.. (1992). The doctrine of māyā in Advaita Vedānta. 2 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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