David G. Li

456 total citations
21 papers, 240 citations indexed

About

David G. Li is a scholar working on Dermatology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David G. Li has authored 21 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 7 papers in Epidemiology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David G. Li's work include Autoimmune Bullous Skin Diseases (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Streptococcal Infections and Treatments (3 papers). David G. Li is often cited by papers focused on Autoimmune Bullous Skin Diseases (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Streptococcal Infections and Treatments (3 papers). David G. Li collaborates with scholars based in United States. David G. Li's co-authors include Arash Mostaghimi, Cara Joyce, Fan Xia, Hasan Khosravi, Anna K. Dewan, William G. Tsiaras, Karl Laskowski, Christopher W. Baugh, Daniel J. Pallin and Sean Singer and has published in prestigious journals such as PLoS ONE, Journal of Cell Science and BMJ.

In The Last Decade

David G. Li

20 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David G. Li United States	9	70	66	49	48	32	21	240
Luís Araújo Portugal	13	113 1.6×	19 0.3×	21 0.4×	25 0.5×	5 0.2×	31	548
Stephen E. Helms United States	11	134 1.9×	66 1.0×	68 1.4×	23 0.5×	3 0.1×	25	293
Mary M. Prendergast United States	8	339 4.8×	36 0.5×	107 2.2×	118 2.5×	22 0.7×	18	579
Ghasem Janbabaei Iran	8	11 0.2×	17 0.3×	55 1.1×	58 1.2×	5 0.2×	14	237
Ankit Parakh India	9	14 0.2×	101 1.5×	44 0.9×	37 0.8×	2 0.1×	35	330
Sina Helbig Germany	9	15 0.2×	17 0.3×	196 4.0×	48 1.0×	8 0.3×	20	306
Daryl R. Cheng Australia	9	7 0.1×	46 0.7×	30 0.6×	40 0.8×	7 0.2×	39	248
Paolo Morelli Italy	7	35 0.5×	15 0.2×	59 1.2×	28 0.6×	7 0.2×	12	547
Paul Stevenson United Kingdom	10	116 1.7×	39 0.6×	30 0.6×	41 0.9×	1 0.0×	15	311
Euclides José Oliveira da Cunha Brazil	4	16 0.2×	22 0.3×	19 0.4×	131 2.7×	10 0.3×	8	260

Countries citing papers authored by David G. Li

Since Specialization

Citations

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

Fields of papers citing papers by David G. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Li

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Li. A scholar is included among the top collaborators of David G. Li 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 G. Li. David G. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hartman, Rebecca I., Yun Xue, Elizabeth Tkachenko, et al.. (2022). Development and Validation of a Simple Model to Predict the Risk of Nonmelanoma Skin Cancer on Screening Total Body Skin Examination. Dermatology Research and Practice. 2022(1). 2313896–2313896.

Creadore, Andrew, Priya Manjaly, Elizabeth Tkachenko, et al.. (2022). The utility of augmented teledermatology to improve dermatologist diagnosis of cellulitis: a cross-sectional study. Archives of Dermatological Research. 315(5). 1347–1353. 1 indexed citations

Li, David G., et al.. (2020). Evaluation of Point-of-Care Decision Support for Adult Acne Treatment by Primary Care Clinicians. JAMA Dermatology. 156(5). 538–538. 5 indexed citations

Jiang, Mei, Stefanie Volland, Hongxing Wang, et al.. (2020). Microtubule motor transport in the delivery of melanosomes to the actin-rich apical domain of the retinal pigment epithelium. Journal of Cell Science. 133(15). 21 indexed citations

Li, David G., Mehdi Najafzadeh, Aaron S. Kesselheim, & Arash Mostaghimi. (2019). Spending on World Health Organization essential medicines in Medicare Part D, 2011-15: retrospective cost analysis. BMJ. 366. l4257–l4257. 5 indexed citations

Singer, Sean, David G. Li, Nicole Gunasekera, et al.. (2019). The ALT-70 cellulitis model maintains predictive value at 24 and 48 hours after presentation. Journal of the American Academy of Dermatology. 81(6). 1252–1256. 7 indexed citations

Song, Hannah, et al.. (2019). Trends in Gender of Speakers at the American Academy of Dermatology Annual Meeting, 2010-2018. JAMA Dermatology. 155(3). 383–383. 7 indexed citations

Li, David G., Sean Singer, & Arash Mostaghimi. (2019). Prevalence and Disclosure of Potential Conflicts of Interest in Dermatology Patient Advocacy Organizations. JAMA Dermatology. 155(4). 460–460. 10 indexed citations

Li, David G., Anna K. Dewan, Fan Xia, et al.. (2018). The ALT-70 predictive model outperforms thermal imaging for the diagnosis of lower extremity cellulitis: A prospective evaluation. Journal of the American Academy of Dermatology. 79(6). 1076–1080.e1. 14 indexed citations

10.

Li, David G., Kathie P. Huang, Fan Xia, et al.. (2018). Development and pilot-testing of the Alopecia Areata Assessment Tool (ALTO). PLoS ONE. 13(6). e0196517–e0196517. 8 indexed citations

11.

Li, David G., Katherine M. Krajewski, & Arash Mostaghimi. (2018). Mass Compression from Recurrent Lymphoma Mimicking Lower Extremity Cellulitis. Cureus. 10(4). e2466–e2466. 1 indexed citations

12.

Tsiaras, William G., et al.. (2018). Efficacy of Systemic Dapsone Treatment for Pyoderma Gangrenosum: A Retrospective Review.. PubMed. 17(10). 1058–1060. 22 indexed citations

13.

Li, David G., et al.. (2018). Evaluating the Efficacy of Topical Dapsone Treatment for Pyoderma Gangrenosum: A Retrospective Case Series. Journal of Cutaneous Medicine and Surgery. 22(6). 650–651. 6 indexed citations

14.

Cao, Severine, et al.. (2018). Opioid Prescribing Patterns and Complications in the Dermatology Medicare Population. JAMA Dermatology. 154(3). 317–317. 20 indexed citations

15.

Li, David G., Fan Xia, Grace Young, et al.. (2018). Factors Influencing Patient Decisions Regarding Treatments for Skin Growths: A Cross-Sectional Study. Dermatology Research and Practice. 2018. 1–4. 2 indexed citations

16.

Li, David G., Fan Xia, Hasan Khosravi, et al.. (2018). Outcomes of Early Dermatology Consultation for Inpatients Diagnosed With Cellulitis. JAMA Dermatology. 154(5). 537–537. 49 indexed citations

17.

Li, David G., et al.. (2018). Clinical Diagnostic Accuracy of Onychomycosis: A Multispecialty Comparison Study. Dermatology Research and Practice. 2018. 1–3. 7 indexed citations

18.

Li, David G., David T. Martin, David J. Tybor, et al.. (2017). Attitudes on cost-effectiveness and equity: a cross-sectional study examining the viewpoints of medical professionals. BMJ Open. 7(7). e017251–e017251. 8 indexed citations

19.

Li, David G., Cristina Thomas, Gil S. Weintraub, & Arash Mostaghimi. (2017). Symmetrical Drug-related Intertriginous and Flexural Exanthema Induced by Doxycycline. Cureus. 9(11). e1836–e1836. 8 indexed citations

20.

Li, David G., et al.. (2017). Dermal Carotenoid Measurement is Inversely Related to Anxiety in Patients with Breast Cancer. Journal of Investigative Medicine. 66(2). 329–333. 12 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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