Benjamin Ungar

3.9k total citations · 2 hit papers
68 papers, 2.7k citations indexed

About

Benjamin Ungar is a scholar working on Dermatology, Immunology and Allergy and Physiology. According to data from OpenAlex, Benjamin Ungar has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Dermatology, 19 papers in Immunology and Allergy and 16 papers in Physiology. Recurrent topics in Benjamin Ungar's work include Dermatology and Skin Diseases (40 papers), Allergic Rhinitis and Sensitization (18 papers) and Asthma and respiratory diseases (16 papers). Benjamin Ungar is often cited by papers focused on Dermatology and Skin Diseases (40 papers), Allergic Rhinitis and Sensitization (18 papers) and Asthma and respiratory diseases (16 papers). Benjamin Ungar collaborates with scholars based in United States, Canada and Denmark. Benjamin Ungar's co-authors include Emma Guttman‐Yassky, James G. Krueger, Mayte Suárez‐Fariñas, Yeriel Estrada, Hui Xu, Xiangyu Peng, Xiuzhong Zheng, Jennifer D. Hamilton, Hitokazu Esaki and Shinji Noda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

In The Last Decade

Benjamin Ungar

56 papers receiving 2.6k citations

Hit Papers

The Asian atopic dermatitis phenotype combines features o... 2015 2026 2018 2022 2015 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Ungar United States 21 2.2k 1.4k 781 624 413 68 2.7k
Xiuzhong Zheng United States 21 2.2k 1.0× 1.4k 1.0× 786 1.0× 720 1.2× 316 0.8× 22 2.7k
Yael Renert‐Yuval United States 25 1.4k 0.6× 675 0.5× 368 0.5× 384 0.6× 227 0.5× 56 1.8k
Catherine Maari Canada 27 1.4k 0.6× 645 0.5× 426 0.5× 887 1.4× 363 0.9× 65 2.4k
Kunal Malik United States 18 964 0.4× 605 0.4× 346 0.4× 277 0.4× 215 0.5× 39 1.4k
Gráinne M. O’Regan Ireland 15 1.9k 0.8× 1.4k 1.0× 532 0.7× 259 0.4× 143 0.3× 30 2.5k
Rachid Tazi‐Ahnini United Kingdom 21 1.2k 0.6× 693 0.5× 236 0.3× 500 0.8× 119 0.3× 38 2.0k
Danuta Gutowska‐Owsiak United Kingdom 16 951 0.4× 565 0.4× 471 0.6× 1.1k 1.7× 210 0.5× 37 2.0k
Thomas Hultsch United States 22 1.6k 0.7× 1.6k 1.1× 814 1.0× 413 0.7× 283 0.7× 44 2.4k
Shinji Kagami Japan 18 746 0.3× 172 0.1× 321 0.4× 1.1k 1.7× 184 0.4× 45 1.7k
Cornelia S. Seitz Germany 18 351 0.2× 264 0.2× 109 0.1× 283 0.5× 130 0.3× 43 1.3k

Countries citing papers authored by Benjamin Ungar

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Ungar

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Ungar. A scholar is included among the top collaborators of Benjamin Ungar 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 Benjamin Ungar. Benjamin Ungar 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.
Ungar, Benjamin, Yael Renert‐Yuval, Ncoza C. Dlova, et al.. (2025). Alopecia areata. Nature Reviews Disease Primers. 11(1). 77–77.
2.
Jiménez, Cristina, Javier Fernández, Irene Luque Ruiz, et al.. (2025). 267 Tape Strip Transcriptomics Enables Non-Invasive Molecular Profiling Across the Clinical Spectrum of Alopecia Areata. Journal of Investigative Dermatology. 145(11). e73–e73.
3.
Ungar, Benjamin, et al.. (2025). Low-dose oral minoxidil in a case of short anagen syndrome. Journal of Dermatological Treatment. 36(1). 2460580–2460580. 1 indexed citations
4.
Rosa, Joel Corrêa da, et al.. (2024). Association of pruritus and chronic cough: an all of us database study. Journal of Dermatological Treatment. 35(1). 2355976–2355976. 1 indexed citations
6.
Golovko, George, et al.. (2024). Evaluating alopecia areata risk among patients with seasonal and food allergies: A multicenter cohort study. Allergy. 79(12). 3525–3528. 1 indexed citations
7.
Kežić, Sanja, Jacob P. Thyssen, Chia‐Yu Chu, et al.. (2024). A Review of Atomic-Force Microscopy in Skin Barrier Function Assessment. Journal of Investigative Dermatology. 144(10). 2136–2144. 1 indexed citations
8.
Duca, Ester Del, Daniel Lozano‐Ojalvo, Swaroop Bose, et al.. (2024). Alopecia areata exhibits cutaneous and systemic OX40 activation across atopic backgrounds. Allergy. 79(12). 3401–3414. 4 indexed citations
9.
Duca, Ester Del, et al.. (2024). Dupilumab induces hair regrowth in pediatric alopecia areata: a real-world, single-center observational study. Archives of Dermatological Research. 316(7). 487–487. 12 indexed citations
10.
Ungar, Benjamin, et al.. (2023). IL-12/23-targeting in seborrheic dermatitis patients leads to long-lasting response. Archives of Dermatological Research. 315(10). 2937–2940. 4 indexed citations
11.
Rosa, Joel Corrêa da, et al.. (2023). The effect of an ultraviolet photography educational exercise on sunscreen application: A pilot study. JAAD International. 16. 204–205. 1 indexed citations
12.
Diaz, Michael J., Zaim Haq, Parsa Abdi, et al.. (2023). Association between alopecia areata and atopic dermatitis: A nested case-control study of the All of Us database. Journal of the American Academy of Dermatology. 90(3). 607–609. 8 indexed citations
13.
O’Hagan, Ross & Benjamin Ungar. (2023). Considering the practical implications of Google's consumer‐facing deep learning skin evaluation software DermAssist. SHILAP Revista de lepidopterología. 3(3). 908–909. 1 indexed citations
14.
O’Hagan, Ross, et al.. (2023). The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot Chain of Thought Prompting. JMIR Dermatology. 6. e49889–e49889. 6 indexed citations
15.
O’Hagan, Ross, et al.. (2023). A Survey of Patient Demographics in Inflammatory Skin Disease Case Reports. JMIR Dermatology. 6. e49070–e49070.
16.
Facheris, Paola, et al.. (2023). Atopic dermatitis induced during anti-TNF-α therapy for inflammatory bowel disease: Potential for Th2 inhibition with dupilumab. The Journal of Allergy and Clinical Immunology In Practice. 11(7). 2235–2238.e1. 2 indexed citations
17.
Villani, A., Ana B. Pavel, Jianni Wu, et al.. (2021). Vascular inflammation in moderate‐to‐severe atopic dermatitis is associated with enhanced Th2 response. Allergy. 76(10). 3107–3121. 34 indexed citations
19.
Guttman‐Yassky, Emma, Benjamin Ungar, Kunal Malik, et al.. (2017). Molecular signatures order the potency of topically applied anti-inflammatory drugs in atopic dermatitis patients. Journal of Allergy and Clinical Immunology. 140(4). 2 indexed citations
20.
Paller, Amy S., Yael Renert‐Yuval, Maria Suprun, et al.. (2016). An IL-17–dominant immune profile is shared across the major orphan forms of ichthyosis. Journal of Allergy and Clinical Immunology. 139(1). 152–165. 112 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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