Fiona Kuo

838 citations
10 papers · 517 · h-index 5

Impact in

    • Dermatology and Skin Diseases
    • Skin Protection and Aging
    • melanin and skin pigmentation

Papers in

    • melanin and skin pigmentation 8
    • Atherosclerosis and Cardiovascular Diseases 6
    • Psoriasis: Treatment and Pathogenesis 2
    • Mast cells and histamine 1

Fiona Kuo

10 papers receiving 511 citations

Peers

Fiona Kuo
Comparison fields: 5 of 54
  • Dermatology 245
  • Cell Biology 284
  • Sensory Systems 70
  • Immunology and Allergy 78
  • Immunology 180
Replace Maggi Ahmed Refat with:
Maggi Ahmed Refat United States
Kingsley I. Essien United States
Dalia Ahmed Bassiouny Egypt
L. Nieuweboer‐Krobotová Netherlands
Michael L. Frisoli United States
Andrea Tovar‐Garza United States
Christina Martins United States
Rebecca L. Riding United States
Debby Konijnenberg Netherlands
Nan-Hyung Kim South Korea
Fiona Kuo relative to Maggi Ahmed Refat United States Maggi Ahmed Refat's profile →
Citations per field
00.5×3.3×
Maggi Ahmed Refat · 1×
Citations per year

Countries citing papers authored by Fiona Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Fiona Kuo, 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 Fiona Kuo Line = papers co-authored together Fiona Kuo links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019173
2 2020172
3 2021119
4 201928
5 202118
6 20212
7 20212
8 20231
9 20211
10 20211

About Fiona Kuo

Fiona Kuo is a scholar working on Cell Biology, Immunology, Dermatology, Molecular Biology and Rheumatology, having authored 10 papers that have together received 517 indexed citations. Recurring topics across this work include melanin and skin pigmentation (8 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Urticaria and Related Conditions (2 papers), Dermatology and Skin Diseases (2 papers), Skin Protection and Aging (2 papers), Mast cells and histamine (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Dermatology (245 citations), Cell Biology (284 citations), Sensory Systems (70 citations), Immunology and Allergy (78 citations) and Immunology (180 citations). Fiona Kuo has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Michael Howell, Paul Smith, Amit G. Pandya, Pearl E. Grimes, Kang Sun, Iltefat Hamzavi, Mark Lebwohl, David Rosmarin, John E. Harris and Kathleen Butler. Their work appears in journals such as Journal of the American Academy of Dermatology, International Journal of Molecular Sciences, American Journal of Clinical Dermatology, Frontiers in Immunology and The Lancet.

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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