Anna Bar
Impact in
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
- Cancer and Skin Lesions
- Skin Protection and Aging
-
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 15
- Cutaneous Melanoma Detection and Management 14
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- Medicine and Dermatology Studies History 3
- Co-authors
- Michael S. Heath (3 shared papers)Justin J. Leitenberger (11 shared papers)Emile J. Latour (5 shared papers)Yuangang Liu (1 shared paper)Sancy Ann Leachman (1 shared paper)Dylan Haynes (1 shared paper)Tamar Hajar (1 shared paper)Neil A. Swanson (2 shared papers)
- Journals
- Dermatologic Surgery (13 papers)Journal of the American Academy of Dermatology (7 papers)Journal of Biomedical Optics (2 papers)JAMA Dermatology (2 papers)Archives of Dermatological Research (2 papers)
- Partner nations
- United StatesSwitzerlandPoland
In The Last Decade
Anna Bar
34 papers receiving 458 citations
Peers
Comparison fields: 5 of 59
- Dermatology 107
- Oncology 245
- Epidemiology 173
- Health Informatics 5
- Biophysics 18
Countries citing papers authored by Anna Bar
This map shows the geographic impact of Anna Bar'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 Anna Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Bar more than expected).
Fields of papers citing papers by Anna Bar
This network shows the impact of papers produced by Anna Bar. 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 Anna Bar. The network helps show where Anna Bar may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Bar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 93 | |
| 2 | 2020 | 73 | |
| 3 | 2021 | 39 | |
| 4 | 2022 | 31 | |
| 5 | 2019 | 28 | |
| 6 | 2012 | 27 | |
| 7 | 2023 | 26 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2024 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Anna Bar
Anna Bar is a scholar working on Oncology, Dermatology, Epidemiology, Small Animals and Gender Studies, having authored 38 papers that have together received 463 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (14 papers), Nonmelanoma Skin Cancer Studies (7 papers), Reconstructive Facial Surgery Techniques (5 papers), Medicine and Dermatology Studies History (3 papers), Diversity and Career in Medicine (3 papers), Nasal Surgery and Airway Studies (3 papers), Infectious Diseases and Mycology (3 papers) and Digital Imaging in Medicine (3 papers). The work is most often cited by research in Dermatology (107 citations), Oncology (245 citations), Epidemiology (173 citations), Health Informatics (5 citations) and Biophysics (18 citations). Anna Bar has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Michael S. Heath, Justin J. Leitenberger, Emile J. Latour, Yuangang Liu, Sancy Ann Leachman, Dylan Haynes, Tamar Hajar, Neil A. Swanson, Ken Chi Lik Lee and Sumaira Z. Aasi. Their work appears in journals such as Dermatologic Surgery, Journal of the American Academy of Dermatology, Journal of Biomedical Optics, JAMA Dermatology and Archives of Dermatological Research.
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.