Heather L. Kimmel

5.9k total citations
101 papers, 3.0k citations indexed

About

Heather L. Kimmel is a scholar working on Physiology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Heather L. Kimmel has authored 101 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Physiology, 36 papers in Cellular and Molecular Neuroscience and 29 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Heather L. Kimmel's work include Smoking Behavior and Cessation (52 papers), Neurotransmitter Receptor Influence on Behavior (35 papers) and Obesity, Physical Activity, Diet (25 papers). Heather L. Kimmel is often cited by papers focused on Smoking Behavior and Cessation (52 papers), Neurotransmitter Receptor Influence on Behavior (35 papers) and Obesity, Physical Activity, Diet (25 papers). Heather L. Kimmel collaborates with scholars based in United States, Thailand and Canada. Heather L. Kimmel's co-authors include Leonard L. Howell, Andrew Hyland, Wilson M. Compton, Nicolette Borek, Cassandra A. Stanton, F. Ivy Carroll, Marushka L. Silveira, Karin A. Kasza, Michael J. Kuhar and Kevin P. Conway and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.

In The Last Decade

Heather L. Kimmel

95 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heather L. Kimmel United States	32	1.5k	929	648	586	319	101	3.0k
Wallace B. Pickworth United States	38	2.1k 1.4×	449 0.5×	643 1.0×	1.1k 1.9×	316 1.0×	127	3.8k
Freda Patterson United States	37	2.3k 1.5×	543 0.6×	807 1.2×	1.5k 2.6×	130 0.4×	130	4.4k
Matthew G. Kirkpatrick United States	28	1.3k 0.8×	540 0.6×	677 1.0×	190 0.3×	129 0.4×	94	3.0k
Thomas J. Payne United States	37	1.9k 1.2×	561 0.6×	458 0.7×	1.2k 2.1×	182 0.6×	121	4.1k
Bridgette E. Garrett United States	23	1.1k 0.8×	313 0.3×	374 0.6×	371 0.6×	207 0.6×	32	2.2k
Frédérique M. Behm United States	33	2.0k 1.3×	716 0.8×	357 0.6×	1.8k 3.1×	97 0.3×	63	3.2k
Dorothy Hatsukami United States	26	1.3k 0.8×	195 0.2×	418 0.6×	545 0.9×	262 0.8×	52	2.3k
Michele L. Pergadia United States	33	833 0.6×	433 0.5×	201 0.3×	734 1.3×	84 0.3×	60	2.5k
Jeanne M. McCaffery United States	36	892 0.6×	254 0.3×	606 0.9×	420 0.7×	75 0.2×	101	4.0k
Edward G. Singleton United States	27	854 0.6×	680 0.7×	252 0.4×	544 0.9×	72 0.2×	46	2.8k

Countries citing papers authored by Heather L. Kimmel

Since Specialization

Citations

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

Fields of papers citing papers by Heather L. Kimmel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather L. Kimmel. 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 Heather L. Kimmel. The network helps show where Heather L. Kimmel may publish in the future.

Co-authorship network of co-authors of Heather L. Kimmel

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

All Works

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20 of 20 papers shown

Parks, Michael J., Daniela Marshall, Heather L. Kimmel, et al.. (2025). Tobacco and E-Product Use by US Adults With Disabilities. JAMA Network Open. 8(2). e2460471–e2460471. 1 indexed citations

Sharma, Eva, Michael J. Halenar, Adam F Benson, et al.. (2025). Disposal practices of cigarettes and electronic nicotine products among adults, findings from Wave 6 (2021) of the PATH Study. PLoS ONE. 20(12). e0338007–e0338007.

Bansal‐Travers, Maansi, Cheryl Rivard, Andrew Anesetti‐Rothermel, et al.. (2024). Changes in the harm perceptions of different types of tobacco products for youth and adults: Waves 1–5 of the population assessment of tobacco and health (PATH) study, 2013–2019. Addictive Behaviors. 160. 108168–108168. 3 indexed citations

Sharma, Eva, Kathryn C. Edwards, Adam F Benson, et al.. (2024). Respiratory symptoms and outcomes among cigar smokers: findings from the Population Assessment of Tobacco and Health (PATH) study waves 2–5 (2014–2019). Respiratory Research. 25(1). 185–185. 1 indexed citations

Sharma, Eva, Shannon Gravely, Maria Cooper, et al.. (2024). Cigarette and ENDS dual use longitudinal transitions among adults in the Population Assessment of Tobacco and Health (PATH) Study, Waves 4–5 (2016–2019). Addictive Behaviors Reports. 19. 100528–100528. 1 indexed citations

Strong, David R., John P. Pierce, Martha M. White, et al.. (2023). Changes in Tobacco Dependence and Association With Onset and Progression of Use by Product Type From Waves 1 to 3 of the Population Assessment of Tobacco and Health (PATH) Study. Nicotine & Tobacco Research. 25(11). 1781–1790. 1 indexed citations

Ashley, David L., Wanzhe Zhu, Deepak Bhandari, et al.. (2023). Influence of Half-life and Smoking/Nonsmoking Ratio on Biomarker Consistency between Waves 1 and 2 of the Population Assessment of Tobacco and Health Study. Cancer Epidemiology Biomarkers & Prevention. 33(1). 80–87. 1 indexed citations

Brunette, Mary F., Michael J. Halenar, Kathryn C. Edwards, et al.. (2023). Association between tobacco product use and asthma among US adults from the Population Assessment of Tobacco and Health (PATH) Study waves 2–4. BMJ Open Respiratory Research. 10(1). e001187–e001187. 8 indexed citations

Strong, David R., Allison Glasser, Eric C. Leas, et al.. (2023). Indicators of Tobacco Dependence Among Youth: Findings From Wave 1 (2013–2014) of the Population Assessment of Tobacco and Health Study. Nicotine & Tobacco Research. 25(9). 1565–1574. 5 indexed citations

10.

Edwards, Kathryn C., Michael J. Halenar, Cristine D. Delnevo, et al.. (2023). Patterns of Premium and Nonpremium Cigar Use in the United States: Findings from Wave 6 (2021) of the Population Assessment of Tobacco and Health Study. Nicotine & Tobacco Research. 25(Supplement_1). S5–S15. 4 indexed citations

11.

Ashley, David L., Wanzhe Zhu, Lanqing Wang, et al.. (2022). Variability in Urinary Nicotine Exposure Biomarker Levels Between Waves 1 (2013–2014) and 2 (2014–2015) in the Population Assessment of Tobacco and Health Study. Nicotine & Tobacco Research. 25(4). 616–623. 1 indexed citations

12.

Travers, Mark J., Cheryl Rivard, Eva Sharma, et al.. (2020). Biomarkers of Exposure among USA Adult Hookah Users: Results from Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study (2013–2014). International Journal of Environmental Research and Public Health. 17(17). 6403–6403. 5 indexed citations

13.

Stanton, Cassandra A., Eva Sharma, Kathryn C. Edwards, et al.. (2020). Longitudinal transitions of exclusive and polytobacco electronic nicotine delivery systems (ENDS) use among youth, young adults and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016). Tobacco Control. 29(Suppl 3). s147–s154. 59 indexed citations

14.

Kasza, Karin A., Kathryn C. Edwards, Zhiqun Tang, et al.. (2020). Correlates of tobacco product cessation among youth and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016). Tobacco Control. 29(Suppl 3). s203–s215. 72 indexed citations

15.

Taylor, Kristie, Eva Sharma, Kathryn C. Edwards, et al.. (2020). Longitudinal pathways of exclusive and polytobacco cigarette use among youth, young adults and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016). Tobacco Control. 29(Suppl 3). s139–s146. 43 indexed citations

16.

Hyland, Andrew, Karin A. Kasza, Nicolette Borek, et al.. (2020). Overview of tobacco use transitions for population health. Tobacco Control. 29(Suppl 3). s134–s138. 15 indexed citations

17.

Edwards, Kathryn C., Karin A. Kasza, Zhiqun Tang, et al.. (2020). Correlates of tobacco product reuptake and relapse among youth and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016). Tobacco Control. 29(Suppl 3). s216–s226. 36 indexed citations

18.

Kasza, Karin A., Kathryn C. Edwards, Zhiqun Tang, et al.. (2020). Correlates of tobacco product initiation among youth and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016). Tobacco Control. 29(Suppl 3). s191–s202. 52 indexed citations

19.

Sharma, Eva, Maansi Bansal‐Travers, Kathryn C. Edwards, et al.. (2020). Longitudinal pathways of exclusive and polytobacco hookah use among youth, young adults and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016). Tobacco Control. 29(Suppl 3). s155–s162. 31 indexed citations

20.

Stanton, Cassandra A., Eva Sharma, Elizabeth L. Seaman, et al.. (2020). Initiation of any tobacco and five tobacco products across 3 years among youth, young adults and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016). Tobacco Control. 29(Suppl 3). s178–s190. 47 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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