Jonathan Ungar

999 citations
44 papers · 611 · h-index 13

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Hidradenitis Suppurativa and Treatments
    • Dermatology and Skin Diseases

Papers in

    • Dermatology and Skin Diseases 5
    • Dermatologic Treatments and Research 2
    • Hidradenitis Suppurativa and Treatments 2
    • Cutaneous Melanoma Detection and Management 9
    • Polyomavirus and related diseases 2

Jonathan Ungar

39 papers receiving 588 citations

Peers

Jonathan Ungar
Comparison fields: 5 of 90
  • Health Informatics 40
  • Dermatology 213
  • Health Information Management 61
  • Epidemiology 167
  • Geriatrics and Gerontology 16
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Anne Chen United States
Ali Soroush United States
María Adoración Nieto García Spain
Matthew S. Krantz United States
Nicola Pugliese Italy
Emmanuel Timmy Donkoh Ghana
Mulazim Hussain Bukhari Pakistan
Pascal Pfister Switzerland
Inho Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Ungar

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Ungar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Ungar Line = papers co-authored together Jonathan Ungar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020126
2 202085
3 200974
4 200950
5 202335
6 202028
7 202020
8 202020
9 201018
10 202116
11 201114
12 200813
13 202113
14 202311
15 201810
16 202110
17 20229
18 20237
19 20236
20 20225

About Jonathan Ungar

Jonathan Ungar is a scholar working on Dermatology, Oncology, Epidemiology, Health Information Management and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 611 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (8 papers), Dermatology and Skin Diseases (5 papers), Electronic Health Records Systems (4 papers), Dermatologic Treatments and Research (2 papers), Hidradenitis Suppurativa and Treatments (2 papers), Polyomavirus and related diseases (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Health Informatics (40 citations), Dermatology (213 citations), Health Information Management (61 citations), Epidemiology (167 citations) and Geriatrics and Gerontology (16 citations). Jonathan Ungar has collaborated with scholars based in United States, Iceland and Italy. Frequent co-authors include Jónas A. Aðalsteinsson, Sonal Muzumdar, Emma Guttman‐Yassky, Shivani B. Kaushik, John W. Frew, Robert El‐Kareh, Lisa P. Newmark, Eric G. Poon, Thomas D. Sequist and Esteban Gándara. Their work appears in journals such as Journal of the American Academy of Dermatology, JAAD International, The Joint Commission Journal on Quality and Patient Safety, Experimental Dermatology and British Journal of Dermatology.

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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