Julia Dai

563 citations
21 papers · 234 · h-index 9

Impact in

    • Cutaneous lymphoproliferative disorders research
    • Facial Rejuvenation and Surgery Techniques
    • Dermatologic Treatments and Research
    • Body Image and Dysmorphia Studies

Papers in

    • Cutaneous lymphoproliferative disorders research 8
    • Viral-associated cancers and disorders 3
    • Vascular Tumors and Angiosarcomas 2
    • CAR-T cell therapy research 2

Julia Dai

19 papers receiving 227 citations

Peers

Julia Dai
Comparison fields: 5 of 65
  • Dermatology 105
  • Clinical Psychology 58
  • Pathology and Forensic Medicine 48
  • Oncology 68
  • Endocrinology 8
Replace J. M. R. Goulding with:
J. M. R. Goulding United Kingdom
Elliot M. Hirsch United States
Miguel Modolin Brazil
Farah Malick United States
Natasha Barone Canada
Monica Huynh United States
Lacey Kruse United States
Gulhima Arora India
Ilias Papadimitriou Greece
Leo Korchin Puerto Rico
Julia Dai relative to J. M. R. Goulding United Kingdom J. M. R. Goulding's profile →
Citations per field
00.5×3.4×
J. M. R. Goulding · 1×
Citations per year

Countries citing papers authored by Julia Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201544
3 201839
4 201616
5 201914
6 202313
7 201612
8 201711
9 20188
10 20157
11 20175
12 20144
13 20233
14 20222
15 20222
16 20172
17 20231
18 20251
19 20171
20 20240

About Julia Dai

Julia Dai is a scholar working on Dermatology, Oncology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Immunology, having authored 21 papers that have together received 234 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (3 papers), T-cell and Retrovirus Studies (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Vascular Tumors and Angiosarcomas (2 papers), Melanoma and MAPK Pathways (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Dermatology (105 citations), Clinical Psychology (58 citations), Pathology and Forensic Medicine (48 citations), Oncology (68 citations) and Endocrinology (8 citations). Julia Dai has collaborated with scholars based in United States and France. Frequent co-authors include Joseph F. Sobanko, David B. Sarwer, Ivona Percec, Shenhong Wu, Mario E. Lacouture, Viswanath Reddy Belum, V. Sibaud, Joel M. Gelfand, David J. Margolis and Anthony Wilson. Their work appears in journals such as Journal of the American Academy of Dermatology, American Journal of Dermatopathology, Journal of Cutaneous Pathology, Pediatric Dermatology and Dermatologic Surgery.

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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