John S. Barbieri

3.7k total citations · 1 hit paper
159 papers, 1.9k citations indexed

About

John S. Barbieri is a scholar working on Dermatology, Epidemiology and Immunology. According to data from OpenAlex, John S. Barbieri has authored 159 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Dermatology, 20 papers in Epidemiology and 19 papers in Immunology. Recurrent topics in John S. Barbieri's work include Acne and Rosacea Treatments and Effects (68 papers), Dermatology and Skin Diseases (38 papers) and Psoriasis: Treatment and Pathogenesis (17 papers). John S. Barbieri is often cited by papers focused on Acne and Rosacea Treatments and Effects (68 papers), Dermatology and Skin Diseases (38 papers) and Psoriasis: Treatment and Pathogenesis (17 papers). John S. Barbieri collaborates with scholars based in United States, Canada and United Kingdom. John S. Barbieri's co-authors include David J. Margolis, Arash Mostaghimi, William D. James, Carrie Kovarik, Caroline A. Nelson, Elizabeth Tkachenko, Misha Rosenbach, Daniel B. Shin, Junko Takeshita and Priya Manjaly and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

John S. Barbieri

138 papers receiving 1.9k citations

Hit Papers

Guidelines of care for the management of acne vulgaris 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John S. Barbieri United States 24 1.1k 303 271 230 181 159 1.9k
Marius Rademaker New Zealand 32 1.5k 1.4× 661 2.2× 562 2.1× 461 2.0× 282 1.6× 164 3.2k
Daniel Vardy Israel 24 326 0.3× 319 1.1× 57 0.2× 173 0.8× 126 0.7× 83 1.6k
Chen‐Yi Wu Taiwan 24 154 0.1× 269 0.9× 166 0.6× 218 0.9× 57 0.3× 96 1.9k
Michael Rosenblum United States 25 339 0.3× 288 1.0× 225 0.8× 79 0.3× 40 0.2× 77 2.2k
Laurence Le Cleach France 21 819 0.8× 275 0.9× 72 0.3× 114 0.5× 27 0.1× 66 2.1k
R.J.G. Chalmers United Kingdom 29 1.1k 1.0× 468 1.5× 82 0.3× 341 1.5× 32 0.2× 80 3.0k
Edmond S. Chan Canada 31 406 0.4× 143 0.5× 51 0.2× 150 0.7× 15 0.1× 173 3.0k
Moshe Ben‐Shoshan Canada 35 874 0.8× 140 0.5× 97 0.4× 173 0.8× 8 0.0× 217 3.9k
Haizhou Wang China 20 111 0.1× 300 1.0× 327 1.2× 342 1.5× 51 0.3× 62 2.5k
Louise Marquart Australia 28 113 0.1× 314 1.0× 455 1.7× 942 4.1× 18 0.1× 96 2.4k

Countries citing papers authored by John S. Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by John S. Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Barbieri. 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 John S. Barbieri. The network helps show where John S. Barbieri may publish in the future.

Co-authorship network of co-authors of John S. Barbieri

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Barbieri. A scholar is included among the top collaborators of John S. Barbieri 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 John S. Barbieri. John S. Barbieri 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.
Gui, Haiwen, et al.. (2025). Artificial Intelligence Use in Acne Diagnosis and Management—A Scoping Review. International Journal of Dermatology. 65(3). 437–443.
2.
Layton, Alison, et al.. (2025). Measurement properties of the Comprehensive Quality-of-Life Measure for Acne (CompAQ): a cohort study at three international sites. British Journal of Dermatology. 193(2). 267–275. 1 indexed citations
3.
Barbieri, John S., et al.. (2025). At-Home LED Devices for the Treatment of Acne Vulgaris. JAMA Dermatology. 161(5). 552–552.
4.
Barbieri, John S., et al.. (2025). Cancer risk in IgA vasculitis patients. Lara D. Veeken. 64(10). 5567–5569.
5.
Sanchez, Katherine, et al.. (2025). Validating the Use of ICD-10 Codes for Identifying Vitiligo. JAMA Dermatology. 161(12). 1283–1283.
7.
Chai, Peter R., et al.. (2024). No evidence for an association between benzoyl peroxide use and increased blood benzene levels in the National Health and Nutrition Examination Survey. Journal of the American Academy of Dermatology. 91(4). 763–765. 8 indexed citations
8.
Golovko, George, et al.. (2024). Calcitonin Gene-Related Peptide Inhibition and Development of Acne and Rosacea. JAMA Dermatology. 160(8). 895–895. 1 indexed citations
9.
Yew, Yik Weng, John S. Barbieri, & Suephy C. Chen. (2024). Burden of chronic skin disease from an Asian perspective: Assessment of health state utilities and quality of life in a Singapore cohort. JAAD International. 17. 86–93.
10.
Barbieri, John S., Susan S. Ellenberg, Elizabeth A. Grice, et al.. (2024). Challenges in designing a randomized, double-blind noninferiority trial for treatment of acne: The SD-ACNE trial. Clinical Trials. 22(1). 66–76. 1 indexed citations
11.
Manjaly, Priya, et al.. (2023). Janus Kinase Inhibitors and Adverse Events of Acne. JAMA Dermatology. 159(12). 1339–1339. 24 indexed citations
12.
Lipoff, Jules B., et al.. (2023). Short-Form Medical Media: A Multi-Platform Analysis of Acne Treatment Information in TikTok Videos, Instagram Reels, and YouTube Shorts. JMIR Dermatology. 6. e48140–e48140. 9 indexed citations
13.
Hochheimer, Camille J., et al.. (2023). Prescribing Patterns of Oral Antibiotics and Isotretinoin for Acne in a Colorado Hospital System: Retrospective Cohort Study. JMIR Dermatology. 6. e42883–e42883. 2 indexed citations
14.
Manjaly, Priya, et al.. (2023). The role of oral nutraceuticals as adjunctive therapy to reduce side effects from isotretinoin: A systematic review. Journal of the American Academy of Dermatology. 90(3). 612–615. 2 indexed citations
15.
Barbieri, John S., et al.. (2022). Crowdsourcing Medical Costs in Dermatology: Cross-sectional Study Analyzing Dermatologic GoFundMe Campaigns. JMIR Dermatology. 5(2). e34111–e34111. 4 indexed citations
16.
Bhate, Ketaki, Liang-Yu Lin, John S. Barbieri, et al.. (2021). Is there an association between long-term antibiotics for acne and subsequent infection sequelae and antimicrobial resistance? A systematic review. BJGP Open. 5(3). BJGPO.2020.0181–BJGPO.2020.0181. 9 indexed citations
17.
Mostaghimi, Arash, et al.. (2020). Antibiotic utilization in Medicare beneficiaries receiving Mohs micrographic surgery. Journal of the American Academy of Dermatology. 83(4). 1184–1186. 3 indexed citations
18.
Nelson, Caroline A., Lourdes M. Pérez-Chada, Andrew Creadore, et al.. (2020). Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening. JAMA Dermatology. 156(5). 501–501. 163 indexed citations
19.
Barbieri, John S., Jeffrey J. Miller, Harrison P. Nguyen, et al.. (2017). Future considerations for clinical dermatology in the setting of 21st century American policy reform: The Medicare Access and Children's Health Insurance Program Reauthorization Act and Alternative Payment Models in dermatology. Journal of the American Academy of Dermatology. 76(6). 1213–1217. 1 indexed citations
20.
Barbieri, John S., Benjamin French, & Craig A. Umscheid. (2015). Uptake and impact of a clinical diagnostic decision support tool at an academic medical center. Diagnosis. 2(2). 123–127. 5 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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