Hannah Day

3.5k total citations · 2 hit papers
42 papers, 2.7k citations indexed

About

Hannah Day is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Hannah Day has authored 42 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 17 papers in Public Health, Environmental and Occupational Health and 10 papers in Infectious Diseases. Recurrent topics in Hannah Day's work include Smoking Behavior and Cessation (19 papers), Obesity, Physical Activity, Diet (12 papers) and Infection Control in Healthcare (9 papers). Hannah Day is often cited by papers focused on Smoking Behavior and Cessation (19 papers), Obesity, Physical Activity, Diet (12 papers) and Infection Control in Healthcare (9 papers). Hannah Day collaborates with scholars based in United States, Thailand and Australia. Hannah Day's co-authors include Linda J. Neff, Bridget K. Ambrose, MeLisa R. Creamer, Ahmed Jamal, Karen A. Cullen, Teresa W. Wang, Stephen Babb, Gordon Willis, Sean Hu and Enver Holder-Hayes and has published in prestigious journals such as JAMA, PLoS ONE and American Journal of Public Health.

In The Last Decade

Hannah Day

42 papers receiving 2.7k citations

Hit Papers

Tobacco Product Use and Cessation Indicators Among... 2014 2026 2018 2022 2019 2014 200 400 600
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.

  1. Tobacco Product Use and Cessation Indicators Among Adults — United States, 2018
    2019 673 citations Hannah Day et al. profile →
  2. Tobacco product use among adults--United States, 2012-2013.
    2014 331 citations Rebecca Bunnell, Bridget K. Ambrose et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah Day United States 26 1.7k 760 379 339 337 42 2.7k
Abu S. Abdullah United States 30 1.1k 0.7× 548 0.7× 319 0.8× 323 1.0× 235 0.7× 121 2.6k
Danielle M. Smith United States 26 1.0k 0.6× 464 0.6× 205 0.5× 639 1.9× 247 0.7× 94 2.5k
Jonathan Williman New Zealand 20 912 0.6× 549 0.7× 226 0.6× 90 0.3× 137 0.4× 98 2.3k
Joshua A. Mott United States 27 649 0.4× 363 0.5× 130 0.3× 409 1.2× 347 1.0× 92 2.9k
Van T. Tong United States 30 1.5k 0.9× 2.2k 2.9× 129 0.3× 220 0.6× 579 1.7× 102 5.4k
Juliette S. Kendrick United States 27 1.6k 0.9× 1.4k 1.8× 194 0.5× 78 0.2× 230 0.7× 54 4.2k
David Tappin United Kingdom 27 806 0.5× 447 0.6× 85 0.2× 146 0.4× 249 0.7× 81 2.6k
Álvaro A. Cruz Brazil 39 4.1k 2.5× 551 0.7× 76 0.2× 340 1.0× 419 1.2× 214 6.6k
James T. Li United States 26 4.0k 2.4× 236 0.3× 121 0.3× 181 0.5× 141 0.4× 66 6.0k
Isaac Ghinai United States 16 534 0.3× 251 0.3× 41 0.1× 609 1.8× 123 0.4× 29 2.1k

Countries citing papers authored by Hannah Day

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Day

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Day. A scholar is included among the top collaborators of Hannah Day 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 Hannah Day. Hannah Day 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.
Baxter, D., et al.. (2023). Measuring the Migdal effect in semiconductors for dark matter detection. Physical review. D. 107(4). 13 indexed citations
2.
Jackson, Rebecca, Chunfeng Ren, Blair Coleman, et al.. (2021). Transitions to smokeless tobacco use among adult cigarette smokers in the Population Assessment of Tobacco and Health (PATH) Study, Waves 3–5 (2015–2019). Tobacco Control. 32(5). 657–660. 9 indexed citations
3.
Edwards, Kathryn C., Eva Sharma, Michael J. Halenar, et al.. (2020). Longitudinal pathways of exclusive and polytobacco cigar 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). s163–s169. 38 indexed citations
4.
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
5.
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
6.
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
7.
Sharma, Eva, Kathryn C. Edwards, Michael J. Halenar, et al.. (2020). Longitudinal pathways of exclusive and polytobacco smokeless 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). s170–s177. 65 indexed citations
8.
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
9.
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
10.
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
11.
Sawdey, Michael D., Hannah Day, Blair Coleman, et al.. (2018). Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014). Addictive Behaviors. 91. 51–60. 40 indexed citations
12.
Day, Hannah, Bridget K. Ambrose, Megan J. Schroeder, & Catherine Corey. (2017). Point-of-Sale Scanner Data for Rapid Surveillance of the E-cigarette Market. Tobacco Regulatory Science. 3(3). 325–332. 18 indexed citations
13.
Chatham‐Stephens, Kevin, Royal Law, Ethel Taylor, et al.. (2016). Exposure Calls to U. S. Poison Centers Involving Electronic Cigarettes and Conventional Cigarettes—September 2010–December 2014. Journal of Medical Toxicology. 12(4). 350–357. 27 indexed citations
14.
Day, Hannah, Eli N. Perencevich, Anthony D. Harris, et al.. (2013). Depression, Anxiety, and Moods of Hospitalized Patients under Contact Precautions. Infection Control and Hospital Epidemiology. 34(3). 251–258. 43 indexed citations
15.
Mehrotra, Preeti, Lindsay Croft, Hannah Day, et al.. (2013). Effects of Contact Precautions on Patient Perception of Care and Satisfaction: A Prospective Cohort Study. Infection Control and Hospital Epidemiology. 34(10). 1087–1093. 58 indexed citations
16.
Day, Hannah, Eli N. Perencevich, Anthony D. Harris, et al.. (2011). Association between Contact Precautions and Delirium at a Tertiary Care Center. Infection Control and Hospital Epidemiology. 33(1). 34–39. 24 indexed citations
17.
Day, Hannah, et al.. (2011). Association between depression and contact precautions in veterans at hospital admission. American Journal of Infection Control. 39(2). 163–165. 25 indexed citations
18.
Morgan, Daniel J., Hannah Day, Anthony D. Harris, Jon P. Furuno, & Eli N. Perencevich. (2011). The Impact of Contact Isolation on the Quality of Inpatient Hospital Care. PLoS ONE. 6(7). e22190–e22190. 28 indexed citations
19.
Day, Hannah, et al.. (2011). Road risk-perception and pedestrian injuries among students at Ain Shams University, Cairo, Egypt. Journal of Injury and Violence Research. 4(2). 71–78. 30 indexed citations
20.
Morgan, Daniel J., Hannah Day, Jon P. Furuno, et al.. (2010). Improving Efficiency in Active Surveillance for Methicillin-Resistant Staphylococcus aureus or Vancomycin-Resistant Enterococcus at Hospital Admission. Infection Control and Hospital Epidemiology. 31(12). 1230–1235. 35 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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