Uma S. Nair

505 total citations
55 papers, 369 citations indexed

About

Uma S. Nair is a scholar working on Physiology, Applied Psychology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Uma S. Nair has authored 55 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Physiology, 24 papers in Applied Psychology and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Uma S. Nair's work include Smoking Behavior and Cessation (45 papers), Behavioral Health and Interventions (24 papers) and Obesity, Physical Activity, Diet (13 papers). Uma S. Nair is often cited by papers focused on Smoking Behavior and Cessation (45 papers), Behavioral Health and Interventions (24 papers) and Obesity, Physical Activity, Diet (13 papers). Uma S. Nair collaborates with scholars based in United States, Qatar and Australia. Uma S. Nair's co-authors include Bradley N. Collins, Melanie L. Bell, Nicole P. Yuan, Alicia M. Allen, Jonathan P. Winickoff, Janet Audrain‐McGovern, Melbourne F. Hovell, Tyra Bryant-Stephens, David Fleece and Stephen J. Lepore and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Uma S. Nair

49 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uma S. Nair United States 12 278 102 91 82 51 55 369
Béatrice Lauzon Canada 5 244 0.9× 87 0.9× 118 1.3× 46 0.6× 48 0.9× 6 355
Paulo Vitória Portugal 10 225 0.8× 85 0.8× 79 0.9× 99 1.2× 129 2.5× 20 371
Colin Mendelsohn Australia 11 288 1.0× 67 0.7× 105 1.2× 121 1.5× 53 1.0× 39 455
Shiushing Wong United States 11 413 1.5× 103 1.0× 168 1.8× 64 0.8× 36 0.7× 15 481
Hazel Cheeseman United Kingdom 12 452 1.6× 98 1.0× 232 2.5× 51 0.6× 58 1.1× 30 556
Karin Hummel Netherlands 10 338 1.2× 113 1.1× 216 2.4× 86 1.0× 26 0.5× 21 526
Adam G. Cole Canada 13 448 1.6× 104 1.0× 287 3.2× 82 1.0× 94 1.8× 45 625
Bethany Hipple United States 13 528 1.9× 95 0.9× 190 2.1× 117 1.4× 190 3.7× 23 660
Rachel Boykan United States 9 415 1.5× 76 0.7× 191 2.1× 73 0.9× 60 1.2× 25 549
Abigail C. Halperin United States 11 237 0.9× 90 0.9× 102 1.1× 95 1.2× 64 1.3× 16 397

Countries citing papers authored by Uma S. Nair

Since Specialization
Citations

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

Fields of papers citing papers by Uma S. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma S. Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Uma S. Nair. A scholar is included among the top collaborators of Uma S. Nair 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 Uma S. Nair. Uma S. Nair 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.
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Nair, Uma S., et al.. (2025). Digital Health Interventions for Cancer Screening in Sexual and Gender Diverse Populations: A Scoping Review. Health Promotion Practice. 27(2). 378–388.
3.
Leventakou, Vasiliki, et al.. (2022). Factors associated with baseline smoking self-efficacy among male Qatari residents enrolled in a quit smoking study. PLoS ONE. 17(1). e0263306–e0263306. 9 indexed citations
4.
Adsul, Prajakta, Bernard Tawfik, Emily Wu, et al.. (2022). Examining differences based on gender and sexual orientation for cervical cancer screening and prevention behaviors.. Journal of Clinical Oncology. 40(16_suppl). 5533–5533.
5.
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Nair, Uma S., et al.. (2021). Medicaid-Insured Client Characteristics and Quit Outcomes at the Arizona Smokers’ Helpline. The Journal of Behavioral Health Services & Research. 49(1). 61–75. 4 indexed citations
7.
Leventakou, Vasiliki, et al.. (2021). A Telephone-Based Tobacco Cessation Program in the State of Qatar: Protocol of a Feasibility Study. International Journal of Environmental Research and Public Health. 18(9). 4750–4750. 3 indexed citations
8.
Richardson, Scott, et al.. (2020). Effects of Resistance Training on Smoking Abstinence Self-Efficacy in Sedentary Smokers. Internet Journal of Allied Health Sciences and Practice. 1 indexed citations
9.
Nair, Uma S., et al.. (2019). Higher quality quit-date goal setting enhances quit attempts among quitline callers. Tobacco Prevention & Cessation. 5(June). 20–20. 4 indexed citations
10.
Collins, Bradley N., Uma S. Nair, Katherine Isselmann DiSantis, et al.. (2019). Long-term Results From the FRESH RCT: Sustained Reduction of Children's Tobacco Smoke Exposure. American Journal of Preventive Medicine. 58(1). 21–30. 6 indexed citations
11.
Nair, Uma S., et al.. (2018). Quit outcomes among clients ineligible for cessation medication through the state quitline: a retrospective, observational study. BMC Public Health. 18(1). 1001–1001. 3 indexed citations
12.
Nair, Uma S., et al.. (2018). Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline. Preventing Chronic Disease. 15. 5 indexed citations
13.
Lepore, Stephen J., Bradley N. Collins, Donna L. Coffman, et al.. (2018). Kids Safe and Smokefree (KiSS) Multilevel Intervention to Reduce Child Tobacco Smoke Exposure: Long-Term Results of a Randomized Controlled Trial. International Journal of Environmental Research and Public Health. 15(6). 1239–1239. 22 indexed citations
14.
Nair, Uma S., et al.. (2018). Quit Outcomes and Program Utilization by Mode of Entry Among Clients Enrolling in a Quitline. American Journal of Health Promotion. 32(7). 1510–1517. 4 indexed citations
15.
16.
Jung, Alesia M., et al.. (2017). Tobacco Use Cessation Among Quitline Callers Who Implemented Complete Home Smoking Bans During the Quitting Process. Preventing Chronic Disease. 14. E105–E105. 9 indexed citations
17.
Lepore, Stephen J., Jonathan P. Winickoff, Tyra Bryant-Stephens, et al.. (2013). Kids Safe and Smokefree (KiSS): a randomized controlled trial of a multilevel intervention to reduce secondhand tobacco smoke exposure in children. BMC Public Health. 13(1). 792–792. 23 indexed citations
18.
Nair, Uma S., Bradley N. Collins, & Melissa A. Napolitano. (2012). Differential effects of a body image exposure session on smoking urge between physically active and sedentary female smokers.. Psychology of Addictive Behaviors. 27(1). 322–327. 8 indexed citations
19.
Collins, Bradley N., et al.. (2012). SHS-Related Pediatric Sick Visits are Linked to Maternal Depressive Symptoms Among Low-Income African American Smokers: Opportunity for Intervention in Pediatrics. Journal of Child and Family Studies. 22(7). 1013–1021. 8 indexed citations
20.
Collins, Bradley N., Katherine Isselmann DiSantis, & Uma S. Nair. (2011). Longer Previous Smoking Abstinence Relates to Successful Breastfeeding Initiation Among Underserved Smokers. Breastfeeding Medicine. 6(6). 385–391. 6 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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