Jennifer Stein
Impact in
- Dermatology top 1%
- Cutaneous lymphoproliferative disorders research
- Cancer and Skin Lesions
- Skin Protection and Aging
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
Papers in
- Dermatology 34
- Cutaneous lymphoproliferative disorders research 13
- Cancer and Skin Lesions 8
- Skin Diseases and Diabetes 5
- Oncology 44
- Cutaneous Melanoma Detection and Management 34
- Co-authors
- David PolskyJuliana Berk-KraussKathryn J. MartiresMaressa C. CriscitoMiriam Keltz PomeranzAmy Kalowitz BieberPaula W. FengFeng Hao
- Journals
- Journal of the American Academy of Dermatology (15 papers)Journal of Clinical Oncology (5 papers)Dermatologic Surgery (3 papers)JAMA Dermatology (3 papers)Dermatology Online Journal (21 papers)
- Partner nations
- United StatesItalyMorocco
In The Last Decade
Jennifer Stein
92 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Dermatology 415
- Oncology 714
- Epidemiology 353
- Cell Biology 151
- Genetics 200
Countries citing papers authored by Jennifer Stein
This map shows the geographic impact of Jennifer Stein'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 Jennifer Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Stein more than expected).
Fields of papers citing papers by Jennifer Stein
This network shows the impact of papers produced by Jennifer Stein. 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 Jennifer Stein. The network helps show where Jennifer Stein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Stein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 16 | |
| 9 | Skin Lesion Segmentation and Classification with Deep Learning System. | 2019 | 10 |
| 10 | 2018 | 12 | |
| 11 | 2017 | 20 | |
| 12 | 2016 | 37 | |
| 13 | 2016 | 2 | |
| 14 | 2016 | 13 | |
| 15 | 2014 | 38 | |
| 16 | 2014 | 39 | |
| 17 | Nonmelanoma skin cancer in young women. | 2013 | 15 |
| 18 | 2013 | 25 | |
| 19 | 2010 | 8 | |
| 20 | 2005 | 12 |
About Jennifer Stein
Jennifer Stein is a scholar working on Dermatology, Oncology, Family Practice, Biophysics and Epidemiology, having authored 97 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (34 papers), Nonmelanoma Skin Cancer Studies (16 papers), Cutaneous lymphoproliferative disorders research (13 papers), Genetic and rare skin diseases. (8 papers), Cancer and Skin Lesions (8 papers), Nail Diseases and Treatments (7 papers), Autoimmune Bullous Skin Diseases (5 papers) and Skin Diseases and Diabetes (5 papers). The work is most often cited by research in Dermatology (415 citations), Oncology (714 citations), Epidemiology (353 citations), Cell Biology (151 citations) and Genetics (200 citations). Jennifer Stein has collaborated with scholars based in United States, Italy and Morocco. Frequent co-authors include David Polsky, Juliana Berk-Krauss, Kathryn J. Martires, Maressa C. Criscito, Miriam Keltz Pomeranz, Amy Kalowitz Bieber, Paula W. Feng, Feng Hao, Andrea Tan and Iman Osman. Their work appears in journals such as Journal of the American Academy of Dermatology, Journal of Clinical Oncology, Dermatologic Surgery, JAMA Dermatology and Dermatology Online Journal.
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.