Jeff S. Priest

1.0k total citations
27 papers, 688 citations indexed

About

Jeff S. Priest is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Applied Psychology. According to data from OpenAlex, Jeff S. Priest has authored 27 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 10 papers in Public Health, Environmental and Occupational Health and 9 papers in Applied Psychology. Recurrent topics in Jeff S. Priest's work include Smoking Behavior and Cessation (16 papers), Behavioral Health and Interventions (9 papers) and Obesity, Physical Activity, Diet (7 papers). Jeff S. Priest is often cited by papers focused on Smoking Behavior and Cessation (16 papers), Behavioral Health and Interventions (9 papers) and Obesity, Physical Activity, Diet (7 papers). Jeff S. Priest collaborates with scholars based in United States, Canada and Switzerland. Jeff S. Priest's co-authors include Stephen T. Higgins, Diann E. Gaalema, Irene Pericot‐Valverde, Janice Y. Bunn, Jean Harvey, Ryan Redner, Dennis J. Hand, Rebecca A. Krukowski, Delia Smith West and Allison N. Kurti and has published in prestigious journals such as PLoS ONE, Psychopharmacology and Preventive Medicine.

In The Last Decade

Jeff S. Priest

27 papers receiving 666 citations

Peers

Jeff S. Priest
Joanna M. Streck United States
Lori Diemert Canada
Taneisha S. Scheuermann United States
Margaret Mayer United States
Rebecca E. Schane United States
Lauren R. Meltzer United States
Linda Crossett United States
F Coste France
Tommy G. Thompson United States
Úrsula Martínez Spain
Joanna M. Streck United States
Jeff S. Priest
Citations per year, relative to Jeff S. Priest Jeff S. Priest (= 1×) peers Joanna M. Streck

Countries citing papers authored by Jeff S. Priest

Since Specialization
Citations

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

Fields of papers citing papers by Jeff S. Priest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff S. Priest. 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 Jeff S. Priest. The network helps show where Jeff S. Priest may publish in the future.

Co-authorship network of co-authors of Jeff S. Priest

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff S. Priest. A scholar is included among the top collaborators of Jeff S. Priest 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 Jeff S. Priest. Jeff S. Priest 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.
Pericot‐Valverde, Irene, Jeff S. Priest, Theodore L. Wagener, & Diann E. Gaalema. (2019). Examination of a mouthpiece-based topography device for assessing relative reinforcing effects of e-cigarettes: A preliminary study.. Experimental and Clinical Psychopharmacology. 28(1). 13–18. 8 indexed citations
2.
Davis, Danielle R., Mollie E. Miller, Cecilia L. Bergeria, et al.. (2019). Response to Reduced Nicotine Content in Vulnerable Populations: Effect of Menthol Status. Tobacco Regulatory Science. 5(2). 135–142. 9 indexed citations
3.
Pericot‐Valverde, Irene, Jeff S. Priest, Jin H. Yoon, et al.. (2019). Patterns of tobacco use among smokers prior to hospitalization for an acute cardiac event: Use of combusted and non-combusted products. Preventive Medicine. 128. 105757–105757. 4 indexed citations
4.
Davis, Danielle R., Maria A. Parker, Andrea C. Villanti, et al.. (2019). Examining Age as a Potential Moderator of Response to Reduced Nicotine Content Cigarettes in Vulnerable Populations. Nicotine & Tobacco Research. 21(Supplement_1). S49–S55. 8 indexed citations
5.
Alexander, Stewart C., Jeff S. Priest, Susan Ladwig, et al.. (2019). Racial/ethnic differences in prognosis communication during initial inpatient palliative care consultations among people with advanced cancer. Patient Education and Counseling. 102(6). 1098–1103. 38 indexed citations
6.
Dittus, Kim, et al.. (2019). Effects of an exercise-based oncology rehabilitation program and age on strength and physical function in cancer survivors. Supportive Care in Cancer. 28(8). 3747–3754. 12 indexed citations
7.
Dittus, Kim, Jean Harvey, Janice Y. Bunn, et al.. (2018). Impact of a behaviorally-based weight loss intervention on parameters of insulin resistance in breast cancer survivors. BMC Cancer. 18(1). 351–351. 16 indexed citations
8.
Nighbor, Tyler, Nathan Doogan, Megan E. Roberts, et al.. (2018). Smoking prevalence and trends among a U.S. national sample of women of reproductive age in rural versus urban settings. PLoS ONE. 13(11). e0207818–e0207818. 48 indexed citations
9.
Higgins, Stephen T., Cecilia L. Bergeria, Danielle R. Davis, et al.. (2018). Response to reduced nicotine content cigarettes among smokers differing in tobacco dependence severity. Preventive Medicine. 117. 15–23. 29 indexed citations
10.
Pericot‐Valverde, Irene, Diann E. Gaalema, Jeff S. Priest, & Stephen T. Higgins. (2017). E-cigarette awareness, perceived harmfulness, and ever use among U.S. adults. Preventive Medicine. 104. 92–99. 58 indexed citations
11.
12.
Higgins, Stephen T., Sarah H. Heil, Stacey C. Sigmon, et al.. (2017). Addiction Potential of Cigarettes With Reduced Nicotine Content in Populations With Psychiatric Disorders and Other Vulnerabilities to Tobacco Addiction. JAMA Psychiatry. 74(10). 1056–1056. 95 indexed citations
13.
Hughes, John R., Alan J. Budney, Dustin C. Lee, et al.. (2017). Does Tobacco Abstinence Decrease Reward Sensitivity? A Human Laboratory Test. Nicotine & Tobacco Research. 19(6). 677–685. 13 indexed citations
14.
Kurti, Allison N., Elias M. Klemperer, Ivori Zvorsky, et al.. (2016). Some context for understanding the place of the general educational development degree in the relationship between educational attainment and smoking prevalence. Preventive Medicine. 92. 141–147. 6 indexed citations
15.
Higgins, Stephen T., Sarah H. Heil, Stacey C. Sigmon, et al.. (2016). Response to varying the nicotine content of cigarettes in vulnerable populations: an initial experimental examination of acute effects. Psychopharmacology. 234(1). 89–98. 32 indexed citations
16.
Higgins, Stephen T., Allison N. Kurti, Ryan Redner, et al.. (2016). Co-occurring risk factors for current cigarette smoking in a U.S. nationally representative sample. Preventive Medicine. 92. 110–117. 69 indexed citations
17.
18.
Hand, Dennis J., et al.. (2016). E-cigarette use among women of reproductive age: Impulsivity, cigarette smoking status, and other risk factors. Preventive Medicine. 92. 126–134. 58 indexed citations
19.
Rogier, Eric, Ryan E. Wiegand, Delynn M. Moss, et al.. (2015). Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission. Malaria Journal. 14(1). 436–436. 30 indexed citations
20.
Raza, Samreen, et al.. (2014). A regional pharmacoinvasive PCI strategy incorporating selected bleeding avoidance strategies. Coronary Artery Disease. 26(1). 30–36. 3 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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