Jason B. Colditz

4.3k total citations · 4 hit papers
53 papers, 2.7k citations indexed

About

Jason B. Colditz is a scholar working on Sociology and Political Science, Health and Physiology. According to data from OpenAlex, Jason B. Colditz has authored 53 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 16 papers in Health and 16 papers in Physiology. Recurrent topics in Jason B. Colditz's work include Smoking Behavior and Cessation (16 papers), Impact of Technology on Adolescents (12 papers) and Social Media in Health Education (12 papers). Jason B. Colditz is often cited by papers focused on Smoking Behavior and Cessation (16 papers), Impact of Technology on Adolescents (12 papers) and Social Media in Health Education (12 papers). Jason B. Colditz collaborates with scholars based in United States, United Kingdom and Israel. Jason B. Colditz's co-authors include Brian A. Primack, Jaime E. Sidani, Ariel Shensa, Elizabeth Miller, Ana Radović, Beth L. Hoffman, A. Everette James, Jessica C. Levenson, Erica Barrett and César G. Escobar-Viera and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and Computers in Human Behavior.

In The Last Decade

Jason B. Colditz

52 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS

2016 670 citations Jaime E. Sidani, Ariel Shensa et al. profile →
Social Media Use and Perceived Social Isolation Among Young Adults in the U.S.

2017 429 citations Brian A. Primack, Ariel Shensa et al. American Journal of Preventive Medicine profile →
Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among U.S. young adults

2016 365 citations Brian A. Primack, Ariel Shensa et al. profile →
The association between social media use and sleep disturbance among young adults

2016 271 citations Jessica C. Levenson, Ariel Shensa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason B. Colditz United States	19	1.5k	626	607	602	365	53	2.7k
Tom ter Bogt Netherlands	42	1.5k 0.9×	749 1.2×	1.5k 2.5×	364 0.6×	855 2.3×	117	4.7k
Jaime E. Sidani United States	27	2.5k 1.6×	960 1.5×	1.0k 1.7×	1.0k 1.7×	560 1.5×	85	4.3k
Geir Scott Brunborg Norway	22	2.4k 1.5×	1.3k 2.0×	1.0k 1.7×	561 0.9×	356 1.0×	60	3.7k
Dike van de Mheen Netherlands	28	1.4k 0.9×	894 1.4×	782 1.3×	331 0.5×	250 0.7×	61	2.9k
Gallus Bischof Germany	29	1.1k 0.7×	595 1.0×	917 1.5×	612 1.0×	330 0.9×	163	3.2k
Ariel Shensa United States	30	2.6k 1.7×	936 1.5×	989 1.6×	1.1k 1.7×	547 1.5×	63	4.5k
Meyran Boniel‐Nissim Israel	22	1.4k 0.9×	707 1.1×	828 1.4×	877 1.5×	699 1.9×	34	2.8k
Gabrielle N. Martin United States	7	1.2k 0.8×	774 1.2×	645 1.1×	378 0.6×	356 1.0×	7	2.1k
Jan Van den Bulck Belgium	33	1.7k 1.1×	1.0k 1.6×	586 1.0×	332 0.6×	303 0.8×	129	3.6k
Danielle E. Ramo United States	37	997 0.6×	305 0.5×	877 1.4×	901 1.5×	395 1.1×	100	4.4k

Countries citing papers authored by Jason B. Colditz

Since Specialization

Citations

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

Fields of papers citing papers by Jason B. Colditz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason B. Colditz. 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 Jason B. Colditz. The network helps show where Jason B. Colditz may publish in the future.

Co-authorship network of co-authors of Jason B. Colditz

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Acuff, Samuel F., et al.. (2026). Parents Use Online Communities to Seek Guidance on Child Substance Use, Parental Use, and Family Substance Use Challenges: A Content Analysis of Reddit Posts. Journal of Studies on Alcohol and Drugs.

Colditz, Jason B., Brandon G. Bergman, David Best, et al.. (2024). Characteristics and engagement among English-language online forums for addiction recovery available in the US. Internet Interventions. 35. 100708–100708. 1 indexed citations

Colditz, Jason B., et al.. (2023). Characterizing online social support for alcohol use disorder: A mixed‐methods approach. Alcohol Clinical and Experimental Research. 47(11). 2110–2120. 3 indexed citations

Dobbs, Page D., et al.. (2023). Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis. JMIR Formative Research. 7. e50346–e50346. 1 indexed citations

Cavanaugh, Kerri L., Megan Hamm, Caroline Wilkie, et al.. (2023). Stakeholder-Driven Intervention Development for Dialysis Trials Using a Design Sprint Methodology. Kidney Medicine. 5(12). 100729–100729. 2 indexed citations

Sidani, Jaime E., Beth L. Hoffman, Jason B. Colditz, et al.. (2022). Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content. JMIR Formative Research. 6(4). e26335–e26335. 6 indexed citations

Colditz, Jason B., et al.. (2022). Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study. JMIR Medical Informatics. 10(7). e33678–e33678. 11 indexed citations

Chu, Kar‐Hai, Tina Batra Hershey, Beth L. Hoffman, et al.. (2022). Puff Bars, Tobacco Policy Evasion, and Nicotine Dependence: Content Analysis of Tweets. Journal of Medical Internet Research. 24(3). e27894–e27894. 6 indexed citations

Colditz, Jason B., et al.. (2021). Vape Shop Proliferation and Noncompliance in Pennsylvania: A Pre- and Post-tax Analysis. SHILAP Revista de lepidopterología. 14. 1179173X20927389–1179173X20927389. 2 indexed citations

10.

Hoffman, Beth L., et al.. (2021). #DoctorsSpeakUp: Lessons learned from a pro-vaccine Twitter event. Vaccine. 39(19). 2684–2691. 14 indexed citations

11.

Russell, Alex M., et al.. (2021). Analyzing Twitter Chatter About Tobacco Use Within Intoxication-related Contexts of Alcohol Use: “Can Someone Tell Me Why Nicotine is So Fire When You’re Drunk?”. Nicotine & Tobacco Research. 24(8). 1193–1200. 7 indexed citations

12.

Russell, Alex M., et al.. (2021). Using TikTok in recovery from substance use disorder. Drug and Alcohol Dependence. 229(Pt A). 109147–109147. 22 indexed citations

13.

Visweswaran, Shyam, Jason B. Colditz, Na-Rae Han, et al.. (2020). Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. Journal of Medical Internet Research. 22(8). e17478–e17478. 22 indexed citations

14.

Chu, Kar‐Hai, et al.. (2019). Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking. Journal of Medical Internet Research. 21(7). e12443–e12443. 16 indexed citations

15.

Colditz, Jason B., Kar‐Hai Chu, Galen E. Switzer, Konstantinos Pelechrinis, & Brian A. Primack. (2018). Online data to contextualize waterpipe tobacco smoking establishments surrounding large US universities. Health Informatics Journal. 25(4). 1314–1324. 3 indexed citations

16.

Hoffman, Beth L., et al.. (2018). Use of Twitter to Assess Viewer Reactions to the Medical Drama, Code Black. Journal of Health Communication. 23(3). 244–253. 6 indexed citations

17.

Levenson, Jessica C., Ariel Shensa, Jaime E. Sidani, Jason B. Colditz, & Brian A. Primack. (2017). Social Media Use Before Bed and Sleep Disturbance Among Young Adults in the United States: A Nationally Representative Study. SLEEP. 40(9). 103 indexed citations

18.

Colditz, Jason B., et al.. (2017). Observation of public sentiment toward human papillomavirus vaccination on Twitter. Cogent Medicine. 4(1). 1390853–1390853. 11 indexed citations

19.

Primack, Brian A., Ariel Shensa, Jaime E. Sidani, et al.. (2017). Social Media Use and Perceived Social Isolation Among Young Adults in the U.S.. American Journal of Preventive Medicine. 53(1). 1–8. 429 indexed citations breakdown →

20.

Primack, Brian A., Jason B. Colditz, Elan D. Cohen, et al.. (2013). Measurement of Social Capital among Clinical Research Trainees. Clinical and Translational Science. 7(1). 33–37. 8 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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