Chaoying Gu

455 citations
21 papers · 259 · h-index 10

Impact in

    • Dermatology and Skin Diseases
    • Contact Dermatitis and Allergies
    • Allergic Rhinitis and Sensitization
    • Food Allergy and Anaphylaxis Research

Papers in

Chaoying Gu

16 papers receiving 256 citations

Peers

Chaoying Gu
Comparison fields: 5 of 71
  • Dermatology 172
  • Immunology and Allergy 90
  • Rehabilitation 19
  • Immunology 43
  • Management, Monitoring, Policy and Law 22
Replace Megumi Mizawa with:
Megumi Mizawa Japan
Tim R. Rebbeck United States
Hiroshi Komazaki Japan
Stephanie Musiol Germany
Marlene Seegräber Germany
Usman Chaudhry United States
Daniela Bureik Germany
Kanako Ogura Japan
Carah B. Santos United States
Charlotte Vrijman Netherlands
Chaoying Gu relative to Megumi Mizawa Japan Megumi Mizawa's profile →
Citations per field
00.5×6.3×
Megumi Mizawa · 1×
Citations per year

Countries citing papers authored by Chaoying Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoying Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chaoying Gu, 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 Chaoying Gu Line = papers co-authored together Chaoying Gu 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 202260
2 202335
3 202231
4 202425
5 202419
6 201516
7
IFN-γ-induced microRNA-29b up-regulation contributes tokeratinocyte apoptosis in atopic dermatitis through inhibiting Bcl2L2.
201714
8 200512
9 200811
10 202310
11 20248
12 20255
13 20255
14 20253
15 20233
16 20231
17 20251
18 20250
19 20190
20 20250

About Chaoying Gu

Chaoying Gu is a scholar working on Dermatology, Immunology and Allergy, Physiology, Immunology and Management, Monitoring, Policy and Law, having authored 21 papers that have together received 259 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (16 papers), Allergic Rhinitis and Sensitization (11 papers), Asthma and respiratory diseases (8 papers), IL-33, ST2, and ILC Pathways (4 papers), Landslides and related hazards (3 papers), Dermatological and Skeletal Disorders (2 papers), Skin and Cellular Biology Research (2 papers) and Food Allergy and Anaphylaxis Research (2 papers). The work is most often cited by research in Dermatology (172 citations), Immunology and Allergy (90 citations), Rehabilitation (19 citations), Immunology (43 citations) and Management, Monitoring, Policy and Law (22 citations). Chaoying Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xu Yao, Wei Li, Shangshang Wang, Ronghui Zhu, Xiaochun Liu, Xia Dou, Lei Gu, Wen‐Li Mi, Yang Luo and Zhenlai Zhu. Their work appears in journals such as Allergy, Journal of Clinical Medicine, Journal of the American Academy of Dermatology, Journal of Allergy and Clinical Immunology and Cell Host & Microbe.

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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