David C. Swanson

3.7k total citations · 1 hit paper
119 papers, 2.0k citations indexed

About

David C. Swanson is a scholar working on Epidemiology, Biomedical Engineering and Dermatology. According to data from OpenAlex, David C. Swanson has authored 119 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 24 papers in Biomedical Engineering and 23 papers in Dermatology. Recurrent topics in David C. Swanson's work include Nonmelanoma Skin Cancer Studies (18 papers), Cutaneous Melanoma Detection and Management (17 papers) and Acoustic Wave Phenomena Research (16 papers). David C. Swanson is often cited by papers focused on Nonmelanoma Skin Cancer Studies (18 papers), Cutaneous Melanoma Detection and Management (17 papers) and Acoustic Wave Phenomena Research (16 papers). David C. Swanson collaborates with scholars based in United States, Pakistan and Japan. David C. Swanson's co-authors include Paolo Mancini, Richard S. Vetter, Todd D. Batzel, Karen E. Warschaw, Joseph M. Schmitt, Mark V. Dahl, Barbara A. Pockaj, Frank Esser, Jonathan O. Swanson and Aleksander Sekulic and has published in prestigious journals such as New England Journal of Medicine, American Journal of Obstetrics and Gynecology and The Journal of the Acoustical Society of America.

In The Last Decade

David C. Swanson

108 papers receiving 1.9k citations

Hit Papers

Politics, Media, and Mode... 1996 2026 2006 2016 1996 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David C. Swanson 321 290 266 218 201 119 2.0k
Jeffrey Miller 16 0.0× 135 0.5× 176 0.7× 245 1.1× 48 0.2× 138 3.0k
Bruce Bennett 33 0.1× 203 0.7× 24 0.1× 106 0.5× 28 0.1× 206 3.4k
Kyung Mo Kim 151 0.5× 235 0.8× 47 0.2× 405 1.9× 6 0.0× 267 3.2k
John W. Kelly 17 0.1× 2.6k 9.1× 254 1.0× 149 0.7× 100 0.5× 114 4.1k
David H. Nguyen 51 0.2× 378 1.3× 63 0.2× 99 0.5× 10 0.0× 95 3.2k
Qing Deng 61 0.2× 248 0.9× 96 0.4× 64 0.3× 5 0.0× 86 1.8k
Ranit Aharonov 9 0.0× 274 0.9× 166 0.6× 135 0.6× 78 0.4× 59 3.7k
Jeremy Howard 12 0.0× 158 0.5× 125 0.5× 570 2.6× 10 0.0× 49 3.5k
Jay A. Baker 14 0.0× 786 2.7× 493 1.9× 152 0.7× 29 0.1× 117 5.0k
Peter Kim 11 0.0× 515 1.8× 238 0.9× 487 2.2× 15 0.1× 206 3.9k

Countries citing papers authored by David C. Swanson

Since Specialization
Citations

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

Fields of papers citing papers by David C. Swanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Swanson. A scholar is included among the top collaborators of David C. Swanson 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. Swanson. David C. Swanson 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.
Pittelkow, Mark R., et al.. (2025). The most powerful topical anti-inflammatory: the cautionary and enlightening story of SKIN-CAP. Dermatology Online Journal. 30(6).
2.
Mi, Lanyu, et al.. (2024). Factors influencing receipt and time to treatment of immunotherapy relative to chemotherapy in stage III and stage IV melanoma. Cancer Medicine. 13(1). e6888–e6888. 2 indexed citations
3.
Nelson, Steven A., et al.. (2024). Disseminated superficial actinic porokeratosis treated with tretinoin and calcipotriene. JAAD Case Reports. 53. 105–108. 1 indexed citations
4.
Swanson, David C., Julio C. Sartori‐Valinotti, Stephen Merry, et al.. (2024). Impact of Dermoscopy Training on Diagnostic Accuracy, and Its Association With Biopsy and Referral Patterns Among Primary Care Providers: A Retrospective and Prospective Educational Intervention Study. Journal of Primary Care & Community Health. 15. 4287916785–4287916785.
5.
Swanson, David C., et al.. (2024). Dermoscopic observation of Pthirus pubis. JAAD Case Reports. 54. 44–45. 1 indexed citations
6.
Swanson, David C., et al.. (2023). Utility of Dermoscopy Training in Improving Diagnostic Accuracy of Skin Lesions Among Physician Assistant Students. The Journal of Physician Assistant Education. 35(1). 9–13. 3 indexed citations
7.
Parthasarathy, Varsha, Jordan R. Pollock, Zachary A. Bordeaux, et al.. (2022). A cross-sectional analysis of trends in dermatology practice size in the United States from 2012 to 2020. Archives of Dermatological Research. 315(2). 223–229. 5 indexed citations
8.
Pollock, Jordan R., et al.. (2021). Medicare Part D prescription trends in the use and cost of dermatology medications. Journal of the American Academy of Dermatology. 87(4). 916–918. 1 indexed citations
9.
Costello, Collin M., et al.. (2020). Dermoscopic characteristics of microcystic adnexal carcinoma, desmoplastic trichoepithelioma, and morpheaform basal cell carcinoma. International Journal of Dermatology. 60(3). e83–e84. 5 indexed citations
10.
Yiannias, James A., et al.. (2020). The policy dimensions, regulatory landscape, and market characteristics of teledermatology in the United States. JAAD International. 1(2). 202–207. 3 indexed citations
11.
Wie, Christopher, et al.. (2019). <p>Parameters associated with efficacy of epidural steroid injections in the management of postherpetic neuralgia: the Mayo Clinic experience</p>. Journal of Pain Research. Volume 12. 1279–1286. 2 indexed citations
12.
Lehrer, Michael, Aaron R. Mangold, Suzanne M. Connolly, et al.. (2019). Management of Hailey-Hailey disease with Castellani paint. JAAD Case Reports. 5(10). 855–856. 2 indexed citations
13.
Nelson, Steven A., Alon Scope, Harold Rabinovitz, et al.. (2016). Accuracy and confidence in the clinical diagnosis of basal cell cancer using dermoscopy and reflex confocal microscopy. International Journal of Dermatology. 55(12). 1351–1356. 13 indexed citations
14.
15.
Nathan, Robert, Jonathan O. Swanson, William Marks, et al.. (2014). Screening Obstetric Ultrasound Training for a 5-Country Cluster Randomized Controlled Trial. Ultrasound Quarterly. 30(4). 262–266. 15 indexed citations
16.
Warschaw, Karen E., et al.. (2011). Use of Reflectance Confocal Microscopy to Differentiate Hidrocystoma from Basal Cell Carcinoma. Dermatologic Surgery. 37(3). 392–394. 5 indexed citations
17.
Herro, Elise M., David J. DiCaudo, Mark D.P. Davis, Amy L. Weaver, & David C. Swanson. (2009). Review of contemporaneous mycosis fungoides and B-cell malignancy at Mayo Clinic. Journal of the American Academy of Dermatology. 61(2). 271–275. 12 indexed citations
18.
Swanson, David C., Susan D. Laman, Kristian Pagh Nielsen, et al.. (2009). Optical transfer diagnosis of pigmented lesions: a pilot study. Skin Research and Technology. 15(3). 330–337. 16 indexed citations
19.
Vetter, Richard S., et al.. (2006). Skin Lesions in Barracks: Consider Community-Acquired Methicillin-ResistantStaphylococcus aureusInfection Instead of Spider Bites. Military Medicine. 171(9). 830–832. 22 indexed citations
20.
Swanson, David C.. (1972). The new politics meets the old rhetoric: New directions in campaign communication research. Quarterly Journal of Speech. 58(1). 31–40. 14 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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