Julia Dai
Impact in
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
- Facial Rejuvenation and Surgery Techniques
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- Cutaneous Melanoma Detection and Management
- Colorectal Cancer Treatments and Studies
Papers in
- Dermatology 12
- Cutaneous lymphoproliferative disorders research 9
- Oncology 8
- Viral-associated cancers and disorders 2
- CAR-T cell therapy research 2
- Co-authors
- Joseph F. Sobanko (3 shared papers)Ivona Percec (2 shared papers)David B. Sarwer (2 shared papers)Mario E. Lacouture (1 shared paper)V. Sibaud (1 shared paper)Shenhong Wu (1 shared paper)Viswanath Reddy Belum (1 shared paper)Joel M. Gelfand (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (4 papers)Journal of Cutaneous Pathology (3 papers)American Journal of Dermatopathology (3 papers)Dermatologic Surgery (2 papers)Pediatric Dermatology (2 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Julia Dai
19 papers receiving 243 citations
Peers
Comparison fields: 5 of 61
- Dermatology 97
- Oncology 65
- Pathology and Forensic Medicine 41
- Clinical Psychology 44
- Endocrinology 9
Countries citing papers authored by Julia Dai
This map shows the geographic impact of Julia Dai'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 Julia Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Dai more than expected).
Fields of papers citing papers by Julia Dai
This network shows the impact of papers produced by Julia Dai. 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 Julia Dai. The network helps show where Julia Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Dai, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 56 | |
| 2 | 2015 | 46 | |
| 3 | 2018 | 39 | |
| 4 | 2016 | 18 | |
| 5 | 2019 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2016 | 13 | |
| 8 | 2017 | 11 | |
| 9 | 2015 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2017 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2025 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 0 |
About Julia Dai
Julia Dai is a scholar working on Dermatology, Oncology, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 23 papers that have together received 250 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (9 papers), Lymphoma Diagnosis and Treatment (6 papers), T-cell and Retrovirus Studies (3 papers), Viral-associated cancers and disorders (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), CAR-T cell therapy research (2 papers), Melanoma and MAPK Pathways (2 papers) and Body Image and Dysmorphia Studies (2 papers). The work is most often cited by research in Dermatology (97 citations), Oncology (65 citations), Pathology and Forensic Medicine (41 citations), Clinical Psychology (44 citations) and Endocrinology (9 citations). Julia Dai has collaborated with scholars based in United States and France. Frequent co-authors include Joseph F. Sobanko, Ivona Percec, David B. Sarwer, Mario E. Lacouture, V. Sibaud, Shenhong Wu, Viswanath Reddy Belum, Joel M. Gelfand, David J. Margolis and Anthony Wilson. Their work appears in journals such as Journal of the American Academy of Dermatology, Journal of Cutaneous Pathology, American Journal of Dermatopathology, Dermatologic Surgery and Pediatric 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.