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.
Tobacco Product Use Among Adults — United States, 2019
2020729 citationsMonica E. Cornelius, Teresa W. Wang et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Tobacco Product Use Among Adults — United States, 2020
2022448 citationsMonica E. Cornelius, Caitlin Loretan et al.MMWR Morbidity and Mortality Weekly Reportprofile →
Tobacco Product Use Among Adults – United States, 2021
2023364 citationsMonica E. Cornelius, Caitlin Loretan 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, Teresa W. Wang et al.PubMedprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Caitlin Loretan
Since
Specialization
Citations
This map shows the geographic impact of Caitlin Loretan'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 Caitlin Loretan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin Loretan more than expected).
This network shows the impact of papers produced by Caitlin Loretan. 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 Caitlin Loretan. The network helps show where Caitlin Loretan may publish in the future.
Co-authorship network of co-authors of Caitlin Loretan
This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin Loretan.
A scholar is included among the top collaborators of Caitlin Loretan 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 Caitlin Loretan. Caitlin Loretan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cornelius, Monica E., Caitlin Loretan, Ahmed Jamal, et al.. (2023). Tobacco Product Use Among Adults – United States, 2021. MMWR Morbidity and Mortality Weekly Report. 72(18). 475–483.364 indexed citations breakdown →
Gentzke, Andrea S., Teresa W. Wang, Monica E. Cornelius, et al.. (2022). Tobacco Product Use and Associated Factors Among Middle and High School Students — National Youth Tobacco Survey, United States, 2021. PubMed. 71(5). 1–29.289 indexed citations breakdown →
7.
Cornelius, Monica E., Caitlin Loretan, Teresa W. Wang, Ahmed Jamal, & David M. Homa. (2022). Tobacco Product Use Among Adults — United States, 2020. MMWR Morbidity and Mortality Weekly Report. 71(11). 397–405.448 indexed citations breakdown →
Cornelius, Monica E., Teresa W. Wang, Ahmed Jamal, Caitlin Loretan, & Linda J. Neff. (2020). Tobacco Product Use Among Adults — United States, 2019. MMWR Morbidity and Mortality Weekly Report. 69(46). 1736–1742.729 indexed citations breakdown →
10.
Loretan, Caitlin, Allison T. Chamberlain, Travis Sanchez, María Zlotorzynska, & Jeb Jones. (2019). Trends and Characteristics Associated with HPV Vaccination Uptake Among Men Who Have Sex with Men in the United States, 2014 – 2017. Sexually Transmitted Diseases.1 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.