Huiying Wan

413 citations
22 papers · 295 · h-index 10

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Dermatology and Skin Diseases 3
    • Cutaneous lymphoproliferative disorders research 2

Huiying Wan

18 papers receiving 286 citations

Peers

Huiying Wan
Comparison fields: 5 of 71
  • Immunology and Allergy 107
  • Dermatology 78
  • Immunology 64
  • Biotechnology 23
  • Cancer Research 30
Replace Hiroshi Terao with:
Hiroshi Terao Japan
Jiangfeng Sun Canada
J-H. Saurat Switzerland
Anne Huchenq France
Ben C. Hulette United States
Tsing Cheng United States
J M Stoltz Canada
Jeffrey Panella United States
Effie Mouhtouris Australia
Akemi Ozaki Japan
Huiying Wan relative to Hiroshi Terao Japan Hiroshi Terao's profile →
Citations per field
00.5×10×15×18×
Hiroshi Terao · 1×
Citations per year

Countries citing papers authored by Huiying Wan

Since Specialization
Citations

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

Fields of papers citing papers by Huiying Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Huiying Wan, 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 Huiying Wan Line = papers co-authored together Huiying Wan 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 199287
2 202262
3 199436
4 202219
5 201015
6 201813
7 202310
8 202110
9 201410
10 20149
11 20217
12 20126
13
Pulmonary benign metastasizing leiomyoma: case report and review of the literature.
20124
14
Frameshift mutation in the V2 domain of keratin I causes the striate form of palmoplantar keratoderma
20012
15 20232
16 20241
17 20231
18 20201
19 20120
20 20250

About Huiying Wan

Huiying Wan is a scholar working on Molecular Biology, Dermatology, Epidemiology, Immunology and Allergy and Immunology, having authored 22 papers that have together received 295 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (3 papers), Fungal Infections and Studies (3 papers), Nail Diseases and Treatments (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Skin and Cellular Biology Research (2 papers), Cell Adhesion Molecules Research (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Immunology and Allergy (107 citations), Dermatology (78 citations), Immunology (64 citations), Biotechnology (23 citations) and Cancer Research (30 citations). Huiying Wan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include K E Hellström, Ingegerd Hellström, A Aruffo, Dingding Zhang, Yuping Ran, E Wolff, Dana F. Chace, Bruce Mixan, Dingding Zhang and Ursula Garrigues. Their work appears in journals such as Mycopathologia, Medicine, Dermatologic Therapy, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Frontiers in Immunology.

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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