Karen Edison

1.1k total citations
40 papers, 611 citations indexed

About

Karen Edison is a scholar working on Oncology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Karen Edison has authored 40 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 14 papers in General Health Professions and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Karen Edison's work include Cutaneous Melanoma Detection and Management (14 papers), Telemedicine and Telehealth Implementation (13 papers) and Cutaneous lymphoproliferative disorders research (8 papers). Karen Edison is often cited by papers focused on Cutaneous Melanoma Detection and Management (14 papers), Telemedicine and Telehealth Implementation (13 papers) and Cutaneous lymphoproliferative disorders research (8 papers). Karen Edison collaborates with scholars based in United States, Australia and India. Karen Edison's co-authors include David A. Fleming, George Demiris, John A. Dyer, Hon S. Pak, John D. Whited, Lanis L. Hicks, Thomas Moritz, Lizy Thottapurathu, Domenic J. Reda and Erin M. Warshaw and has published in prestigious journals such as Journal of the American Academy of Dermatology, International Journal of Medical Informatics and Clinics in Dermatology.

In The Last Decade

Karen Edison

39 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Edison United States 14 271 244 192 170 148 40 611
S E Bloomer United Kingdom 9 307 1.1× 308 1.3× 186 1.0× 126 0.7× 145 1.0× 10 582
C Mathews United Kingdom 9 307 1.1× 308 1.3× 186 1.0× 125 0.7× 149 1.0× 10 584
R Corbett United Kingdom 11 312 1.2× 308 1.3× 188 1.0× 125 0.7× 153 1.0× 14 616
Ian Bowns United Kingdom 13 132 0.5× 124 0.5× 81 0.4× 180 1.1× 107 0.7× 19 447
Judy Paisley Canada 8 158 0.6× 172 0.7× 87 0.5× 82 0.5× 82 0.6× 12 368
Lindsay N. Boyers United States 13 54 0.2× 82 0.3× 123 0.6× 109 0.6× 54 0.4× 25 512
Abbey Diaz Australia 14 236 0.9× 116 0.5× 34 0.2× 114 0.7× 145 1.0× 49 529
G. John Chen United States 10 85 0.3× 32 0.1× 69 0.4× 58 0.3× 117 0.8× 11 466
Ahmed Zidouh Morocco 18 246 0.9× 158 0.6× 9 0.0× 88 0.5× 261 1.8× 40 708
C. Meredith United Kingdom 5 134 0.5× 254 1.0× 16 0.1× 331 1.9× 42 0.3× 6 548

Countries citing papers authored by Karen Edison

Since Specialization
Citations

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

Fields of papers citing papers by Karen Edison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen Edison. 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 Karen Edison. The network helps show where Karen Edison may publish in the future.

Co-authorship network of co-authors of Karen Edison

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Edison. A scholar is included among the top collaborators of Karen Edison 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 Karen Edison. Karen Edison 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.
Mosca, Megan, et al.. (2024). Closing the gap: Enhancing quality pediatric dermatologic care through project Extension for Community Healthcare Outcomes (ECHO). Pediatric Dermatology. 41(3). 480–482. 1 indexed citations
2.
Becevic, Mirna, et al.. (2023). Diagnostic and treatment concordance in primary care participants and dermatologists utilizing Extension for Community Health Outcomes (ECHO). Journal of Telemedicine and Telecare. 30(8). 1345–1352. 5 indexed citations
3.
Becevic, Mirna, Emily H. Smith, Mojgan Golzy, et al.. (2021). Melanoma Extension for Community Healthcare Outcomes: A Feasibility Study of Melanoma Screening Implementation in Primary Care Settings. Cureus. 13(5). e15322–e15322. 5 indexed citations
4.
Becevic, Mirna, et al.. (2018). Dermatology ECHO: A case presentation demonstrating benefits of specialty telementoring in primary care. Journal of Telemedicine and Telecare. 25(8). 506–509. 5 indexed citations
5.
Lewis, H.A., et al.. (2018). Dermatology ECHO - an innovative solution to address limited access to dermatology expertise. Rural and Remote Health. 18(1). 4415–4415. 21 indexed citations
6.
Lim, Henry W., et al.. (2018). A 10-point plan to demonstrate the value of dermatology in the health care system. Journal of the American Academy of Dermatology. 79(2). 342–344. 2 indexed citations
7.
Mulcahy, Andrew, Ateev Mehrotra, Karen Edison, & Lori Uscher‐Pines. (2017). Variation in dermatologist visits by sociodemographic characteristics. Journal of the American Academy of Dermatology. 76(5). 918–924. 25 indexed citations
8.
Whited, John D., Erin M. Warshaw, Karen Edison, et al.. (2013). Effect of Store and Forward Teledermatology on Quality of Life. JAMA Dermatology. 149(5). 584–584. 41 indexed citations
9.
Edison, Karen, et al.. (2013). Content and Style Comparison of Physician Communication in Teledermatology and In-Person Visits. Telemedicine Journal and e-Health. 19(7). 509–514. 13 indexed citations
10.
Edison, Karen, et al.. (2012). Educate your patients and improve outcomes: Health literacy for the dermatologist. Clinics in Dermatology. 30(4). 459–463. 3 indexed citations
11.
Edison, Karen, et al.. (2011). Users and Nonusers of University-Based Dermatology Services Following a Teledermatology Encounter: A Retrospective Descriptive Analysis. Telemedicine Journal and e-Health. 17(1). 14–18. 6 indexed citations
12.
Fleming, David A., et al.. (2009). Incorporating Telehealth into Primary Care Resident Outpatient Training. Telemedicine Journal and e-Health. 15(3). 277–282. 21 indexed citations
13.
Edison, Karen, et al.. (2008). Pediatric Teledermatology—A Survey of Current Use. Pediatric Dermatology. 25(2). 158–162. 30 indexed citations
14.
Edison, Karen, et al.. (2008). Treatment options for the common wart.. PubMed. 104(6). 502–5. 1 indexed citations
15.
Pak, Hon S., Karen Edison, & John D. Whited. (2008). Teledermatology: A User's Guide. 6 indexed citations
16.
Edison, Karen, et al.. (2008). Diagnosis, Diagnostic Confidence, and Management Concordance in Live-Interactive and Store-and-Forward Teledermatology Compared to In-Person Examination. Telemedicine Journal and e-Health. 14(9). 889–895. 63 indexed citations
17.
Demiris, George, Karen Edison, & Santosh Vijaykumar. (2005). A comparison of communication models of traditional and video-mediated health care delivery. International Journal of Medical Informatics. 74(10). 851–856. 31 indexed citations
18.
Demiris, George, Karen Edison, & Laura H. Schopp. (2004). Shaping the Future: Needs and Expectations of Telehealth Professionals. Telemedicine Journal and e-Health. 10(supplement 2). S–60. 9 indexed citations
19.
Demiris, George, et al.. (2003). A needs assessment study for the Missouri Tele-hospice Project.. PubMed. 959–959. 2 indexed citations
20.
Srinivas, C. R., et al.. (1992). Occupational dermatosis in coconut palm climbers. Contact Dermatitis. 26(2). 143–143. 4 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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