Jenna Lester

1.3k total citations · 1 hit paper
34 papers, 500 citations indexed

About

Jenna Lester is a scholar working on Dermatology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jenna Lester has authored 34 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Dermatology, 9 papers in Oncology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jenna Lester's work include Cutaneous Melanoma Detection and Management (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Diversity and Career in Medicine (5 papers). Jenna Lester is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Diversity and Career in Medicine (5 papers). Jenna Lester collaborates with scholars based in United States, Switzerland and United Kingdom. Jenna Lester's co-authors include Roxana Daneshjou, Veronica Rotemberg, Jesutofunmi A. Omiye, Simon Spichak, Eleni Linos, G. Borriello, Justin L. Jia, Tanzeem Choudhury, Leslie Robinson‐Bostom and Alina Markova and has published in prestigious journals such as Journal of the American Academy of Dermatology, Journal of Medical Internet Research and British Journal of Dermatology.

In The Last Decade

Jenna Lester

33 papers receiving 466 citations

Hit Papers

Large language models propagate race-based medicine 2023 2026 2024 2025 2023 50 100 150

Peers

Jenna Lester
Alexander L. Fogel United States
Michael Co Hong Kong
N. F. de Keizer Netherlands
Avery Smith United States
Mary Sun United States
Hao Feng United States
Jesutofunmi A. Omiye United States
Alexander L. Fogel United States
Jenna Lester
Citations per year, relative to Jenna Lester Jenna Lester (= 1×) peers Alexander L. Fogel

Countries citing papers authored by Jenna Lester

Since Specialization
Citations

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

Fields of papers citing papers by Jenna Lester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenna Lester

This figure shows the co-authorship network connecting the top 25 collaborators of Jenna Lester. A scholar is included among the top collaborators of Jenna Lester 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 Jenna Lester. Jenna Lester 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.
Law, Tyler J., Philip E. Bickler, John Feiner, et al.. (2024). The performance of 11 fingertip pulse oximeters during hypoxemia in healthy human participants with varied, quantified skin pigment. EBioMedicine. 102. 105051–105051. 10 indexed citations
2.
Lee, Ivy, Jenna Lester, Veronica Rotemberg, et al.. (2024). Engaging industry effectively and ethically in artificial intelligence from the Augmented Artificial Intelligence Committee Standards Workgroup. Journal of the American Academy of Dermatology. 91(2). 312–314. 1 indexed citations
3.
Gui, Haiwen, Daniel I. Schlessinger, Jenna Lester, et al.. (2024). 50830 Dermatologists’ perspectives on the usage of AI-based large language models in practice- an exploratory survey. Journal of the American Academy of Dermatology. 91(3). AB30–AB30. 1 indexed citations
4.
Yang, Vivian, et al.. (2024). Perspectives of Black, Latinx, Indigenous, and Asian Communities on Health Data Use and AI: Cross-Sectional Survey Study. Journal of Medical Internet Research. 27. e50708–e50708. 2 indexed citations
5.
Seiger, Kira, Roberto A. Novoa, Maria Aleshin, et al.. (2024). ChatGPT May Improve Access to Language-Concordant Care for Patients With Non–English Language Preferences. JMIR Medical Education. 10. e51435–e51435. 3 indexed citations
6.
Tadesse, Girmaw Abebe, Celia Cintas, Kush R. Varshney, et al.. (2023). Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digital Medicine. 6(1). 151–151. 12 indexed citations
7.
Omiye, Jesutofunmi A., Jenna Lester, Simon Spichak, Veronica Rotemberg, & Roxana Daneshjou. (2023). Large language models propagate race-based medicine. npj Digital Medicine. 6(1). 195–195. 186 indexed citations breakdown →
8.
Barnes, Leandra A., et al.. (2023). Qualitative exploration of melanoma awareness in black people in the USA. BMJ Open. 13(1). e066967–e066967. 4 indexed citations
9.
Jia, Justin L. & Jenna Lester. (2022). Anchoring bias and heuristics can perpetuate disparities in dermatology. Journal of the American Academy of Dermatology. 88(1). 265–266. 2 indexed citations
10.
Dillard, Amanda J., et al.. (2022). Associations between COVID-19 risk perceptions,behavior intentions and worry. Health Psychology Report. 10(2). 139–148. 1 indexed citations
11.
Zakhem, George A., et al.. (2021). Skin Cancer in People of Color: A Systematic Review. American Journal of Clinical Dermatology. 23(2). 137–151. 21 indexed citations
12.
Coates, Sarah J., Aileen Y. Chang, & Jenna Lester. (2021). Responding to the moment: Dermatology, health inequity, and a call for introspection-driven activism. International Journal of Women’s Dermatology. 7(2). 187–188. 2 indexed citations
13.
Lester, Jenna & Susan C. Taylor. (2021). Two pandemics: Opportunities for diversity, equity and inclusion in dermatology. International Journal of Women’s Dermatology. 7(2). 137–138. 3 indexed citations
14.
Jia, Justin L., et al.. (2021). Integrating skin of color and sexual and gender minority content into dermatology residency curricula: A prospective program initiative. Journal of the American Academy of Dermatology. 86(5). 1119–1120. 8 indexed citations
15.
Reddy, Vidhatha, Bridget Myers, Stephanie Chan, et al.. (2020). A review of current phase III clinical trials of plaque psoriasis: under‐representation of nonwhite participants and need for reform. British Journal of Dermatology. 184(2). 348–350. 13 indexed citations
16.
Lester, Jenna & Kanade Shinkai. (2019). Diversity and inclusivity are essential to the future of dermatology.. PubMed. 104(2). 99–100. 7 indexed citations
17.
Lester, Jenna, et al.. (2013). Ethical dilemmas and legal pitfalls in prescribing for the uninsured indigent patient: Reconciling the irreconcilable. Journal of the American Academy of Dermatology. 68(4). 672–674.
18.
Markova, Alina, et al.. (2012). Diagnosis of Common Dermopathies in Dialysis Patients: A Review and Update. Seminars in Dialysis. 25(4). 408–418. 43 indexed citations
19.
Brunette, Waylon, et al.. (2006). An ecosystem of platforms to support sensors for personal fitness. 4 pp.–178. 6 indexed citations
20.
Lester, Jenna, et al.. (1978). [Lumbar discitis after operative treatment of disk prolapse].. PubMed. 140(20). 1155–8. 3 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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