David C. Lee

3.2k total citations · 1 hit paper
60 papers, 2.3k citations indexed

About

David C. Lee is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Epidemiology. According to data from OpenAlex, David C. Lee has authored 60 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 13 papers in General Health Professions and 13 papers in Epidemiology. Recurrent topics in David C. Lee's work include Emergency and Acute Care Studies (10 papers), Food Security and Health in Diverse Populations (9 papers) and Diabetes Management and Education (7 papers). David C. Lee is often cited by papers focused on Emergency and Acute Care Studies (10 papers), Food Security and Health in Diverse Populations (9 papers) and Diabetes Management and Education (7 papers). David C. Lee collaborates with scholars based in United States, Ethiopia and Australia. David C. Lee's co-authors include Eric P. Sandgren, Richard D. Palmiter, Ralph L. Brinster, Noreen Luetteke, Susan W. Sunnarborg, Martine Burtin, Rohia Alili, Shunqiang Li, Alexandre Lautrette and Gérard Friedlander and has published in prestigious journals such as Cell, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

David C. Lee

56 papers receiving 2.3k citations

Hit Papers

Overexpression of TGFα in transgenic mice: Induction of e... 1990 2026 2002 2014 1990 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Lee United States 19 739 508 367 278 231 60 2.3k
Chan Zeng United States 27 748 1.0× 423 0.8× 195 0.5× 175 0.6× 200 0.9× 63 2.4k
Sarah M. Temkin United States 31 719 1.0× 868 1.7× 376 1.0× 246 0.9× 80 0.3× 131 3.0k
Brian Calingaert United States 35 427 0.6× 446 0.9× 408 1.1× 437 1.6× 156 0.7× 89 3.6k
Aihua Bian United States 32 521 0.7× 215 0.4× 385 1.0× 141 0.5× 296 1.3× 86 2.8k
Rosemary B. Duda United States 23 497 0.7× 649 1.3× 536 1.5× 472 1.7× 176 0.8× 53 2.5k
Machiko Inoue Japan 23 417 0.6× 297 0.6× 228 0.6× 136 0.5× 149 0.6× 86 1.7k
Laure El ghormli United States 23 682 0.9× 268 0.5× 444 1.2× 585 2.1× 509 2.2× 58 2.7k
Bryan Fellman United States 29 477 0.6× 955 1.9× 589 1.6× 203 0.7× 189 0.8× 188 2.8k
Jessica K. Paulus United States 24 678 0.9× 547 1.1× 318 0.9× 102 0.4× 82 0.4× 70 2.5k

Countries citing papers authored by David C. Lee

Since Specialization
Citations

This map shows the geographic impact of David C. 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 C. 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 C. Lee more than expected).

Fields of papers citing papers by David C. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Lee. A scholar is included among the top collaborators of David C. 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 C. Lee. David C. 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.
2.
Titus, Andrea R., Samrachana Adhikari, Lorna E. Thorpe, et al.. (2025). Time-varying associations between diabetes and mortality following COVID-19: Evidence from a U.S. Veteran population. PLoS ONE. 20(10). e0333052–e0333052. 1 indexed citations
4.
Rummo, Pasquale E., Samrachana Adhikari, Andrea R. Titus, et al.. (2024). Influence of the food environment on obesity risk in a large cohort of US veterans by community type. Obesity. 32(4). 788–797. 2 indexed citations
5.
Perrin, Eliana M., William J. Heerman, Jonathan S. Schildcrout, et al.. (2023). Prenatal Risks to Healthy Food Access and High Birthweight Outcomes. Academic Pediatrics. 24(4). 613–618. 3 indexed citations
6.
Adhikari, Samrachana, Andrea R. Titus, Aaron Baum, et al.. (2023). Disparities in routine healthcare utilization disruptions during COVID-19 pandemic among veterans with type 2 diabetes. BMC Health Services Research. 23(1). 41–41. 5 indexed citations
7.
Lee, David C., et al.. (2023). Expanding Diabetes Screening to Identify Undiagnosed Cases Among Emergency Department Patients. Western Journal of Emergency Medicine. 24(5). 962–966.
8.
Swartz, Jordan, et al.. (2023). Neighborhood-Level Risk Factors for Severe Hyperglycemia among Emergency Department Patients without a Prior Diabetes Diagnosis. Journal of Urban Health. 100(4). 802–810. 1 indexed citations
9.
Elbel, Brian, Kevin Konty, Courtney Abrams, et al.. (2023). COVID-19 vaccines for children: Racial and ethnic disparities in New York City. Preventive Medicine Reports. 35. 102357–102357. 5 indexed citations
10.
Rubin, Ada, et al.. (2020). Assessing the Impact of a Rapidly Scaled Virtual Urgent Care in New York City During the COVID-19 Pandemic. Journal of Emergency Medicine. 59(4). 610–618. 16 indexed citations
11.
Chan, Pui Ying, et al.. (2020). Neighborhood-Level Chronic Disease Surveillance: Utility of Primary Care Electronic Health Records and Emergency Department Claims Data. Journal of Public Health Management and Practice. 28(1). E109–E118. 5 indexed citations
12.
Lee, David C., et al.. (2020). Comparing methods of performing geographically targeted rural health surveillance. Emerging Themes in Epidemiology. 17(1). 3–3. 5 indexed citations
14.
Lee, David C., Kelly M. Doran, Corita R. Grudzen, et al.. (2017). Vulnerability of Older Adults in Disasters: Emergency Department Utilization by Geriatric Patients After Hurricane Sandy. Disaster Medicine and Public Health Preparedness. 12(2). 184–193. 66 indexed citations
15.
Smith, Silas W., James Braun, Ian Portelli, et al.. (2016). Prehospital Indicators for Disaster Preparedness and Response: New York City Emergency Medical Services in Hurricane Sandy. Disaster Medicine and Public Health Preparedness. 10(3). 333–343. 8 indexed citations
16.
Doran, Kelly M., Ryan McCormack, Brendan G. Carr, et al.. (2016). Emergency Department Visits for Homelessness or Inadequate Housing in New York City before and after Hurricane Sandy. Journal of Urban Health. 93(2). 331–344. 22 indexed citations
17.
Bortsov, Andrey V., Jacob C. Ulirsch, David A. Peak, et al.. (2015). Association of Epidemiologic Factors and Genetic Variants Influencing Hypothalamic-Pituitary-Adrenocortical Axis Function With Postconcussive Symptoms After Minor Motor Vehicle Collision. Psychosomatic Medicine. 78(1). 68–78. 10 indexed citations
18.
Lee, David C., Silas W. Smith, Christopher McStay, et al.. (2014). Rebuilding Emergency Care After Hurricane Sandy. Disaster Medicine and Public Health Preparedness. 8(2). 119–122. 11 indexed citations
19.
Platts‐Mills, Timothy F., Andrey V. Bortsov, April Soward, et al.. (2011). Using emergency department-based inception cohorts to determine genetic characteristics associated with long term patient outcomes after motor vehicle collision: Methodology of the CRASH study. BMC Emergency Medicine. 11(1). 14–14. 32 indexed citations
20.
Vojta, Patrick J., et al.. (1993). Transcription Termination/Polyadenylation Occurs at Multiple Sites in the Human Type I Interferon Receptor Gene. Journal of Interferon Research. 13(5). 329–332. 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.

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