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.
E-cigarette Use Among Middle and High School Students — United States, 2020
2020373 citationsLinda J. Neff, Eunice Park‐Lee et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Tobacco Product Use and Associated Factors Among Middle and High School Students — National Youth Tobacco Survey, United States, 2021
2022289 citationsAndrea S. Gentzke, Monica E. Cornelius et al.PubMedprofile →
Tobacco Product Use Among U.S. Middle and High School Students — National Youth Tobacco Survey, 2023
2023242 citationsJan Birdsey, Monica E. Cornelius et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Tobacco Product Use Among Middle and High School Students — United States, 2020
2020240 citationsAndrea S. Gentzke, Ahmed Jamal et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Notes from the Field: E-Cigarette Use Among Middle and High School Students — National Youth Tobacco Survey, United States, 2021
2021220 citationsEunice Park‐Lee, Chunfeng Ren et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Notes from the Field: E-cigarette Use Among Middle and High School Students — United States, 2022
2022161 citationsMaria Cooper, Eunice Park‐Lee et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Tobacco Product Use Among Middle and High School Students — United States, 2022
2022145 citationsEunice Park‐Lee, Chunfeng Ren et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Suicidal Thoughts and Behaviors Among Adults Aged ≥18 Years — United States, 2015–2019
2022107 citationsAsha Z. Ivey-Stephenson, Alex E. Crosby et al.PubMedprofile →
Tobacco Product Use Among Middle and High School Students — National Youth Tobacco Survey, United States, 2024
202451 citationsAhmed Jamal, Eunice Park‐Lee et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Eunice Park‐Lee
Since
Specialization
Citations
This map shows the geographic impact of Eunice Park‐Lee'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 Eunice Park‐Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunice Park‐Lee more than expected).
This network shows the impact of papers produced by Eunice Park‐Lee. 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 Eunice Park‐Lee. The network helps show where Eunice Park‐Lee may publish in the future.
Co-authorship network of co-authors of Eunice Park‐Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Eunice Park‐Lee.
A scholar is included among the top collaborators of Eunice Park‐Lee 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 Eunice Park‐Lee. Eunice Park‐Lee 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.
Jamal, Ahmed, Eunice Park‐Lee, Jan Birdsey, et al.. (2024). Tobacco Product Use Among Middle and High School Students — National Youth Tobacco Survey, United States, 2024. MMWR Morbidity and Mortality Weekly Report. 73(41). 917–924.51 indexed citations breakdown →
Birdsey, Jan, Monica E. Cornelius, Ahmed Jamal, et al.. (2023). Tobacco Product Use Among U.S. Middle and High School Students — National Youth Tobacco Survey, 2023. MMWR Morbidity and Mortality Weekly Report. 72(44). 1173–1182.242 indexed citations breakdown →
Ivey-Stephenson, Asha Z., et al.. (2022). Suicidal Thoughts and Behaviors Among Adults Aged ≥18 Years — United States, 2015–2019. PubMed. 71(1). 1–19.107 indexed citations breakdown →
11.
Park‐Lee, Eunice, Vincent Rome, & Christine Caffrey. (2015). Characteristics of residential care communities that use electronic health records.. PubMed. 21(12). e669–76.1 indexed citations
12.
Rome, Vincent, Lauren Harris-Kojetin, & Eunice Park‐Lee. (2015). Variation in Operating Characteristics of Adult Day Services Centers, by Center Ownership: United States, 2014.. PubMed. 1–8.3 indexed citations
13.
Park‐Lee, Eunice, et al.. (2015). Variation in Adult Day Services Center Participant Characteristics, by Center Ownership: United States, 2014.. PubMed. 1–8.6 indexed citations
14.
Bercovitz, Anita, Eunice Park‐Lee, & Eric Jamoom. (2013). Adoption and use of electronic health records and mobile technology by home health and hospice care agencies.. PubMed. 1–11.12 indexed citations
15.
Caffrey, Christine & Eunice Park‐Lee. (2013). Use of electronic health records in residential care communities.. PubMed. 1–8.4 indexed citations
16.
Park‐Lee, Eunice, Manisha Sengupta, & Lauren Harris-Kojetin. (2013). Dementia special care units in residential care communities: United States, 2010.. PubMed. 1–8.18 indexed citations
17.
Harris-Kojetin, Lauren, Manisha Sengupta, Eunice Park‐Lee, & Roberto Valverde. (2013). Long-Term Care Services in the United States: 2013 Overview.. PubMed. 1–107.242 indexed citations
18.
Bercovitz, Anita, Abigail J. Moss, Manisha Sengupta, et al.. (2011). An overview of home health aides: United States, 2007.. PubMed. 1–31.47 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.