David Lee

8.7k total citations · 1 hit paper
160 papers, 4.6k citations indexed

About

David Lee is a scholar working on Infectious Diseases, General Health Professions and Microbiology. According to data from OpenAlex, David Lee has authored 160 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Infectious Diseases, 25 papers in General Health Professions and 23 papers in Microbiology. Recurrent topics in David Lee's work include Reproductive tract infections research (22 papers), HIV/AIDS Research and Interventions (20 papers) and Syphilis Diagnosis and Treatment (14 papers). David Lee is often cited by papers focused on Reproductive tract infections research (22 papers), HIV/AIDS Research and Interventions (20 papers) and Syphilis Diagnosis and Treatment (14 papers). David Lee collaborates with scholars based in United States, Australia and United Kingdom. David Lee's co-authors include Peter A. Nigrović, Michael E. Weinblatt, Jan Vinjé, Katherine Larabee, Eileen Remold‐O’Donnell, Jerry Ware, Jonathan S. Coblyn, Richard W. Farndale, Elena Massarotti and Éric Boilard and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

David Lee

145 papers receiving 4.4k citations

Hit Papers

Platelets Amplify Inflammation in Arthritis via Collagen-... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Lee United States 37 879 759 597 553 428 160 4.6k
Bonnie LaFleur United States 39 291 0.3× 1.8k 2.4× 545 0.9× 765 1.4× 152 0.4× 121 5.2k
Larry E. Davis United States 42 890 1.0× 478 0.6× 250 0.4× 1.2k 2.3× 105 0.2× 199 6.0k
Larry R. Muenz United States 52 1.7k 2.0× 843 1.1× 1.1k 1.9× 1.9k 3.5× 152 0.4× 102 8.9k
Jérémie F. Cohen France 30 1.5k 1.7× 458 0.6× 187 0.3× 1.6k 2.9× 144 0.3× 139 8.9k
William A. Altemeier United States 51 909 1.0× 963 1.3× 1.2k 2.0× 1.2k 2.1× 105 0.2× 262 9.0k
Michael Katz United States 41 456 0.5× 1.4k 1.8× 568 1.0× 1.4k 2.6× 201 0.5× 224 6.2k
Brian Keogh Ireland 32 244 0.3× 705 0.9× 1.4k 2.4× 418 0.8× 133 0.3× 131 5.0k
Jens C. Eickhoff United States 53 319 0.4× 2.4k 3.2× 1.4k 2.4× 1.2k 2.1× 179 0.4× 373 11.3k
James M. Smith United States 40 696 0.8× 1.3k 1.7× 477 0.8× 550 1.0× 49 0.1× 252 5.5k
B.H. Thiers United States 42 1.2k 1.4× 1.1k 1.5× 1.7k 2.8× 1.8k 3.2× 292 0.7× 729 8.6k

Countries citing papers authored by David Lee

Since Specialization
Citations

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

Fields of papers citing papers by David Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lee

This figure shows the co-authorship network connecting the top 25 collaborators of David Lee. A scholar is included among the top collaborators of David 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 David Lee. David 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.
Lee, David, Melanie Bissessor, Ei T. Aung, et al.. (2025). Using deep learning systems for diagnosing common skin lesions in sexual health. Communications Medicine. 5(1). 452–452.
2.
Lee, David, et al.. (2025). Impact of Result Displays in an Anogenital Symptom Checker App on Health-seeking Behaviours: A Cross-sectional, Vignette-based Study. Open Forum Infectious Diseases. 12(4). ofaf193–ofaf193. 1 indexed citations
3.
Yu, Zhen, David Lee, Jason J. Ong, et al.. (2024). Clinical features-based machine learning models to separate sexually transmitted infections from other skin diagnoses. Journal of Infection. 88(4). 106128–106128. 8 indexed citations
4.
Yu, Zhen, David Lee, Jason J. Ong, et al.. (2024). Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata. BMC Medicine. 22(1). 296–296. 10 indexed citations
5.
Lee, David, et al.. (2023). Novel use of eslicarbazepine in treatment of agitation and aggression in frontotemporal dementia. Journal of the Neurological Sciences. 455. 121469–121469.
6.
Martin, Sarah, Fern Terris‐Prestholt, Matthew Quaife, et al.. (2023). Preferences for HIV prevention strategies among newly arrived Asian-born men who have sex with men living in Australia: A discrete choice experiment. Frontiers in Public Health. 11. 1018983–1018983. 6 indexed citations
7.
Peltier, Corey, et al.. (2023). A Systematic Review of Data Analysis Decisions in Counseling Single-Case Research Designs to Inform Best Practices. PsyArXiv (OSF Preprints). 1 indexed citations
8.
Peltier, Corey, et al.. (2023). A Review of Counseling Research Using Single-Case Research Designs. PsyArXiv (OSF Preprints).
10.
Peltier, Corey, et al.. (2022). A Graph Paints 1,000 Words But are they Valid?: A Systematic Review of SCRD Graphs. PsyArXiv (OSF Preprints). 1 indexed citations
11.
Xu, Xianglong, Zongyuan Ge, Eric P. F. Chow, et al.. (2022). A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months. Journal of Clinical Medicine. 11(7). 1818–1818. 36 indexed citations
12.
Read, Tim, Gerald L. Murray, Jennifer Danielewski, et al.. (2019). Symptoms, Sites, and Significance ofMycoplasma genitaliumin Men Who Have Sex with Men. Emerging infectious diseases. 25(4). 719–727. 80 indexed citations
13.
Chow, Eric P. F., Jason J. Ong, Catriona S. Bradshaw, et al.. (2017). Sexually Transmitted Infections in Melbourne, Australia from 1918 to 2016: nearly a century of data.. PubMed. 41(3). E212–E222. 35 indexed citations
14.
Vega, Everardo, Leslie Barclay, Nicole Gregoricus, et al.. (2013). Genotypic and Epidemiologic Trends of Norovirus Outbreaks in the United States, 2009 to 2013. Journal of Clinical Microbiology. 52(1). 147–155. 242 indexed citations
15.
Boilard, Éric, Peter A. Nigrović, Katherine Larabee, et al.. (2010). Platelets Amplify Inflammation in Arthritis via Collagen-Dependent Microparticle Production. Science. 327(5965). 580–583. 860 indexed citations breakdown →
16.
Mandal, Asim K., P. Jones, Angela M. Bair, et al.. (2008). The nuclear membrane organization of leukotriene synthesis. Proceedings of the National Academy of Sciences. 105(51). 20434–20439. 82 indexed citations
17.
Howard, Brandon A., Gregory D. Sempowski, Richard M. Scearce, et al.. (2008). Murine CD7 Shares Antigenic Cross-Reactivity with HSP-60. Hybridoma. 27(2). 81–89. 1 indexed citations
18.
Lee, David. (2006). Humor in Spoken Academic Discourse. 8(1). 49–68. 13 indexed citations
19.
Lee, David, et al.. (2004). Hepatitis A outbreak associated with a Mother's Day 'yum cha' meal, Sydney, 1997. New South Wales Public Health Bulletin. 15(2). 6–6. 5 indexed citations
20.
Lee, David, et al.. (2004). Preparation of Azo Dyes from Sulfanilamide. The Chemical Educator. 9(2). 89–90. 2 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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