Nathan Cobb

2.8k total citations
52 papers, 1.8k citations indexed

About

Nathan Cobb is a scholar working on Physiology, Applied Psychology and General Health Professions. According to data from OpenAlex, Nathan Cobb has authored 52 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 20 papers in Applied Psychology and 14 papers in General Health Professions. Recurrent topics in Nathan Cobb's work include Smoking Behavior and Cessation (26 papers), Behavioral Health and Interventions (14 papers) and Impact of Technology on Adolescents (12 papers). Nathan Cobb is often cited by papers focused on Smoking Behavior and Cessation (26 papers), Behavioral Health and Interventions (14 papers) and Impact of Technology on Adolescents (12 papers). Nathan Cobb collaborates with scholars based in United States. Nathan Cobb's co-authors include David B. Abrams, Amanda L. Graham, Josée Poirier, Beth C. Bock, George D. Papandonatos, Raymond Niaura, Sahiti Myneni, Trevor Cohen, Caroline O. Cobb and Michael Byron and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and American Journal of Public Health.

In The Last Decade

Nathan Cobb

48 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Cobb United States 25 904 692 628 479 256 52 1.8k
Jennifer Cantrell United States 24 1.3k 1.4× 445 0.6× 258 0.4× 234 0.5× 145 0.6× 62 1.8k
Emily T. Hébert United States 19 751 0.8× 454 0.7× 372 0.6× 178 0.4× 83 0.3× 81 1.4k
Laura Gibson United States 20 1.1k 1.2× 446 0.6× 177 0.3× 224 0.5× 79 0.3× 59 1.7k
H Garth McKay United States 15 340 0.4× 470 0.7× 1.1k 1.8× 240 0.5× 137 0.5× 18 2.0k
Sarah D. Kowitt United States 20 551 0.6× 253 0.4× 313 0.5× 190 0.4× 111 0.4× 76 1.3k
Leah M. Ranney United States 22 1.1k 1.2× 425 0.6× 216 0.3× 182 0.4× 70 0.3× 90 1.7k
Neill Bruce Baskerville Canada 22 421 0.5× 190 0.3× 881 1.4× 159 0.3× 97 0.4× 48 1.5k
Jessie E. Saul United States 16 394 0.4× 233 0.3× 719 1.1× 159 0.3× 131 0.5× 38 1.3k
Silje C Wangberg Norway 18 155 0.2× 347 0.5× 797 1.3× 241 0.5× 224 0.9× 31 1.4k
Leah Hoffman United States 19 407 0.5× 143 0.2× 147 0.2× 219 0.5× 142 0.6× 57 1.0k

Countries citing papers authored by Nathan Cobb

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Cobb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Cobb

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Cobb. A scholar is included among the top collaborators of Nathan Cobb 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 Nathan Cobb. Nathan Cobb 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.
Cadham, Christopher J., Nathan Cobb, MeiLan K. Han, et al.. (2025). Lung Cancer Risk in US Adults with COPD: A Systematic Review and Meta-Analysis. International Journal of COPD. Volume 20. 3399–3421.
2.
Fong, Allan, et al.. (2025). Invasive blood pressure monitoring does not improve survival in septic critically ill patients. The American Journal of Emergency Medicine. 94. 173–178.
3.
Simkovich, Suzanne, et al.. (2024). Accuracy of Noninvasive Blood Pressure Monitoring in Critically Ill Adults. Journal of Intensive Care Medicine. 39(7). 665–671. 3 indexed citations
4.
Cobb, Nathan, et al.. (2024). Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study. Journal of Medical Internet Research. 27. e64993–e64993. 4 indexed citations
6.
Cohen, Trevor, et al.. (2021). Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study. Journal of Medical Internet Research. 23(11). e32167–e32167. 4 indexed citations
7.
Cook, Michael, Katherine White, Sameer Desale, et al.. (2021). Thrombotic and Clinical Outcomes in Patients with Hematologic Malignancy and COVID-19. Clinical Lymphoma Myeloma & Leukemia. 22(7). e452–e458. 2 indexed citations
8.
Roberts, Kirk, Trevor Cohen, Nathan Cobb, et al.. (2020). Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance. 6(4). e21660–e21660. 15 indexed citations
10.
Jacobs, Megan A, et al.. (2017). An exploration of the Facebook social networks of smokers and non-smokers. PLoS ONE. 12(11). e0187332–e0187332. 9 indexed citations
11.
Myneni, Sahiti, Nathan Cobb, & Trevor Cohen. (2016). In Pursuit of Theoretical Ground in Behavior Change Support Systems: Analysis of Peer-to-Peer Communication in a Health-Related Online Community. Journal of Medical Internet Research. 18(2). e28–e28. 41 indexed citations
12.
Poirier, Josée, Wendy L. Bennett, Gerald J. Jerome, et al.. (2016). Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial. Journal of Medical Internet Research. 18(2). e34–e34. 85 indexed citations
13.
Cutrona, Sarah L., Rajani S. Sadasivam, Julie E. Volkman, et al.. (2015). Online tobacco websites and online communities—who uses them and do users quit smoking? The quit-primo and national dental practice-based research network Hi-Quit studies. Translational Behavioral Medicine. 6(4). 546–557. 3 indexed citations
14.
Cobb, Nathan, Megan A Jacobs, Jessie E. Saul, E. Paul Wileyto, & Amanda L. Graham. (2014). Diffusion of an evidence-based smoking cessation intervention through Facebook: a randomised controlled trial study protocol. BMJ Open. 4(1). e004089–e004089. 27 indexed citations
15.
Cobb, Nathan & Josée Poirier. (2013). Effectiveness of a Multimodal Online Well-Being Intervention. American Journal of Preventive Medicine. 46(1). 41–48. 38 indexed citations
16.
Graham, Amanda L., Yao-Jen Chang, Fang Ye, et al.. (2012). Cost-effectiveness of internet and telephone treatment for smoking cessation: an economic evaluation of The iQUITT Study. Tobacco Control. 22(6). e11–e11. 33 indexed citations
17.
Cobb, Nathan, et al.. (2011). Online Social Networks and Smoking Cessation: A Scientific Research Agenda. Journal of Medical Internet Research. 13(4). e119–e119. 86 indexed citations
18.
Cobb, Nathan. (2010). Online Consumer Search Strategies for Smoking-Cessation Information. American Journal of Preventive Medicine. 38(3). S429–S432. 15 indexed citations
19.
Cobb, Nathan, Amanda L. Graham, Beth C. Bock, George D. Papandonatos, & David B. Abrams. (2005). Initial evaluation of a real‐world Internet smoking cessation system. Nicotine & Tobacco Research. 7(2). 207–216. 190 indexed citations
20.
Cobb, Nathan, et al.. (1977). Love and hate on the tennis court : how hidden emotions affect your game.

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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