Colby L. Presley

758 total citations
28 papers, 335 citations indexed

About

Colby L. Presley is a scholar working on Dermatology, Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Colby L. Presley has authored 28 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Dermatology, 8 papers in Health and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Colby L. Presley's work include Social Media in Health Education (8 papers), Diversity and Career in Medicine (5 papers) and Cutaneous Melanoma Detection and Management (4 papers). Colby L. Presley is often cited by papers focused on Social Media in Health Education (8 papers), Diversity and Career in Medicine (5 papers) and Cutaneous Melanoma Detection and Management (4 papers). Colby L. Presley collaborates with scholars based in United States and United Kingdom. Colby L. Presley's co-authors include Chandler W. Rundle, Michelle Militello, Cory A. Dunnick, Cara Barber, D. Powell, Kalman L. Watsky, JiaDe Yu, Amber Reck Atwater, Sharon E. Jacob and Robert P. Dellavalle and has published in prestigious journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and British Journal of Dermatology.

In The Last Decade

Colby L. Presley

25 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colby L. Presley United States 10 100 60 55 39 38 28 335
Michelle Militello United States 8 102 1.0× 56 0.9× 53 1.0× 21 0.5× 42 1.1× 15 308
Chandler W. Rundle United States 12 198 2.0× 58 1.0× 58 1.1× 60 1.5× 45 1.2× 51 545
Amy Cha United States 11 283 2.8× 22 0.4× 11 0.2× 64 1.6× 67 1.8× 37 673
Sadia Masood Pakistan 7 48 0.5× 36 0.6× 14 0.3× 15 0.4× 6 0.2× 23 259
Nafis Faizi India 10 17 0.2× 48 0.8× 18 0.3× 19 0.5× 15 0.4× 36 387
E Rajesh India 10 32 0.3× 14 0.2× 27 0.5× 25 0.6× 10 0.3× 42 392
Navid Farahmandian Iran 7 10 0.1× 163 2.7× 26 0.5× 47 1.2× 13 0.3× 13 457
Christiane Inocêncio Vasques Brazil 11 51 0.5× 6 0.1× 47 0.9× 43 1.1× 7 0.2× 40 407
Ghasem Janbabaei Iran 8 11 0.1× 58 1.0× 21 0.4× 84 2.2× 14 0.4× 14 237
R. Rashmi India 9 159 1.6× 91 1.5× 3 0.1× 30 0.8× 12 0.3× 11 526

Countries citing papers authored by Colby L. Presley

Since Specialization
Citations

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

Fields of papers citing papers by Colby L. Presley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colby L. Presley. 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 Colby L. Presley. The network helps show where Colby L. Presley may publish in the future.

Co-authorship network of co-authors of Colby L. Presley

This figure shows the co-authorship network connecting the top 25 collaborators of Colby L. Presley. A scholar is included among the top collaborators of Colby L. Presley 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 Colby L. Presley. Colby L. Presley 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.
Szeto, Mindy D, Chandler W. Rundle, Jieying Wu, et al.. (2024). Dermatologic Data From the Global Burden of Disease Study 2019 and the PatientsLikeMe Online Support Community: Comparative Analysis. JMIR Dermatology. 7. e50449–e50449. 1 indexed citations
2.
Rundle, Chandler W., et al.. (2023). Analysis of ChatGPT generated differential diagnoses in response to physical exam findings for benign and malignant cutaneous neoplasms. Journal of the American Academy of Dermatology. 90(3). 615–616. 11 indexed citations
3.
Presley, Colby L., et al.. (2023). Cross-sectional Analysis of Dermatologists and Sponsored Content on TikTok. JMIR Dermatology. 6. e44413–e44413. 2 indexed citations
4.
Presley, Colby L., et al.. (2023). Telangiectasia-Related Social Media Posts: Cross-sectional Analysis of TikTok and Instagram. JMIR Dermatology. 6. e41716–e41716. 1 indexed citations
5.
Rundle, Chandler W., et al.. (2023). Skin Cancer, Climate Change, and Opportunities for Dermatologists. Current Dermatology Reports. 12(2). 92–99. 4 indexed citations
6.
Presley, Colby L., et al.. (2023). 44483 Cost Discrepancies in Tinted Sunscreens Marketed for Retail Consumers with Skin of Color. Journal of the American Academy of Dermatology. 89(3). AB142–AB142.
7.
Presley, Colby L., et al.. (2022). An Analysis of Skin of Color Content on TikTok. JMIR Dermatology. 5(1). e33340–e33340. 1 indexed citations
8.
Albrecht, Joerg, et al.. (2022). Social Media as a Medium for Dermatologic Education. Current Dermatology Reports. 11(2). 103–109. 10 indexed citations
9.
Szeto, Mindy D, et al.. (2021). Global Burden of Skin Disease Representation in the Literature: Bibliometric Analysis. JMIR Dermatology. 4(2). e29282–e29282. 10 indexed citations
10.
Presley, Colby L., Mindy D Szeto, Cara Barber, et al.. (2021). A survey of osteopathic physician and student authorship in the dermatology literature. Dermatology Online Journal. 27(3).
11.
Szeto, Matthew, Melissa Laughter, Mayra B.C. Maymone, et al.. (2021). 316 The impact of COVID-19 on gender representation in academic dermatology publications. Journal of Investigative Dermatology. 141(5). S56–S56. 1 indexed citations
12.
Militello, Michelle, et al.. (2021). Social Media and Clinical Research in Dermatology. Current Dermatology Reports. 10(4). 105–111. 9 indexed citations
13.
Szeto, Mindy D, Colby L. Presley, Steven M. Lada, et al.. (2021). Top authors in dermatology: Comparisons of standardized database citation indicators. Journal of the American Academy of Dermatology. 85(1). e57–e59. 4 indexed citations
14.
Presley, Colby L., Michelle Militello, Cara Barber, et al.. (2021). The History of Surfactants and Review of Their Allergic and Irritant Properties. Dermatitis. 32(5). 289–297. 24 indexed citations
15.
Militello, Michelle, et al.. (2021). Social Media and Ethical Challenges for the Dermatologist. Current Dermatology Reports. 10(4). 120–127. 15 indexed citations
16.
Presley, Colby L., Aleksandra G. Florek, Chandler W. Rundle, et al.. (2020). A Clinical Impact Score: a novel and clinically significant measure of journal influence. Dermatology Online Journal. 26(12). 1 indexed citations
17.
Rundle, Chandler W., et al.. (2020). An Analysis of Skin of Color Dermatology Related Content on Instagram. Journal of Drugs in Dermatology. 19(7). 746–754. 7 indexed citations
18.
Maghfour, Jalal, Chandler W. Rundle, Colby L. Presley, et al.. (2020). A Review of the Current Evidence Connecting Seborrheic Dermatitis and Parkinson’s Disease and the Potential Role of Oral Cannabinoids. Dermatology. 237(6). 872–877. 15 indexed citations
19.
Szeto, Mindy D, et al.. (2020). A survey of article types in the dermatology literature. Journal of the American Academy of Dermatology. 84(5). 1439–1441.
20.
Rundle, Chandler W., et al.. (2019). Triclosen and Its Alternatives in Antibacterial Soaps. Dermatitis. 30(6). 352–357. 9 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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