Julia Tzu

1.3k citations
22 papers · 1.0k · h-index 11

Impact in

Papers in

    • Acne and Rosacea Treatments and Effects 3
    • Cutaneous lymphoproliferative disorders research 3
    • Cancer and Skin Lesions 3

Julia Tzu

22 papers receiving 1.0k citations

Peers

Julia Tzu
Comparison fields: 5 of 95
  • Cell Biology 365
  • Cellular and Molecular Neuroscience 303
  • Immunology and Allergy 100
  • Aging 23
  • Developmental Neuroscience 43
Replace John J. Moskow with:
John J. Moskow United States
Phyllis Strickland United States
Irmgard Fischer Austria
Christiane Bierkamp France
Uichi Koshimizu Japan
Yasuaki Mohri Japan
Reneé Shapiro United States
Wen‐Hui Lien United States
Bradley J. Merrill United States
Scott X. Atwood United States
Julia Tzu relative to John J. Moskow United States John J. Moskow's profile →
Citations per field
00.5×1.5×2.4×
John J. Moskow · 1×
Citations per year

Countries citing papers authored by Julia Tzu

Since Specialization
Citations

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

Fields of papers citing papers by Julia Tzu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Tzu, 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 Tzu Line = papers co-authored together Julia Tzu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002297
2 2002283
3 2007190
4 200667
5 200831
6 200925
7 200524
8 201114
9 201112
10 201111
11 201111
12 201110
13 20119
14 20068
15
Deep dermatophytosis caused by Trichophyton rubrum.
20117
16 20136
17 20114
18 20114
19 20113
20 20113

About Julia Tzu

Julia Tzu is a scholar working on Dermatology, Epidemiology, Cell Biology, Pathology and Forensic Medicine and Molecular Biology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (4 papers), Acne and Rosacea Treatments and Effects (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Cancer and Skin Lesions (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Plant Pathogens and Fungal Diseases (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Cell Biology (365 citations), Cellular and Molecular Neuroscience (303 citations), Immunology and Allergy (100 citations), Aging (23 citations) and Developmental Neuroscience (43 citations). Julia Tzu has collaborated with scholars based in United States, Austria and Israel. Frequent co-authors include M. Peter Marinkovich, Liqun Luo, Georg Dietzl, Matthew Harms, J. Ng, Yan Sun, Barry J. Dickson, Satoko Hakeda‐Suzuki, Francisco A. Kerdel and Deborah L. Cummins. Their work appears in journals such as Nature, Dermatology Online Journal, Journal of the American Academy of Dermatology, Dermatologic Therapy and The International Journal of Biochemistry & Cell Biology.

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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