Chaoying Gu

571 citations
30 papers · 392 · h-index 12

Impact in

    • Dermatology and Skin Diseases
    • Acne and Rosacea Treatments and Effects
    • Allergic Rhinitis and Sensitization
    • Food Allergy and Anaphylaxis Research

Papers in

Chaoying Gu

24 papers receiving 386 citations

Peers

Chaoying Gu
Comparison fields: 5 of 75
  • Dermatology 230
  • Immunology and Allergy 87
  • Rehabilitation 16
  • Management, Monitoring, Policy and Law 28
  • Immunology 42
Replace Megumi Mizawa with:
Megumi Mizawa Japan
Christiane Handrick Germany
Ahla Ghauri Germany
A. Seeber Austria
Manon Der-Petrossian Austria
Ali Balevi Türkiye
Francesca Giusti Italy
Penelope McBride Australia
Katharina Gangl Austria
Andrzej Obojski Poland
Chaoying Gu relative to Megumi Mizawa Japan Megumi Mizawa's profile →
Citations per field
00.5×2×4×6×7.2×
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202278
2 202346
3 202241
4 202438
5 202429
6 201924
7 202317
8 201517
9 200516
10 200815
11
IFN-γ-induced microRNA-29b up-regulation contributes tokeratinocyte apoptosis in atopic dermatitis through inhibiting Bcl2L2.
201714
12 202414
13 202512
14 20257
15 20235
16 20255
17 20064
18 20253
19 20251
20 20251

About Chaoying Gu

Chaoying Gu is a scholar working on Dermatology, Immunology and Allergy, Physiology, Management, Monitoring, Policy and Law and Immunology, having authored 30 papers that have together received 392 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (21 papers), Allergic Rhinitis and Sensitization (7 papers), Asthma and respiratory diseases (7 papers), Landslides and related hazards (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Genetic and rare skin diseases. (3 papers), Food Allergy and Anaphylaxis Research (3 papers) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Dermatology (230 citations), Immunology and Allergy (87 citations), Rehabilitation (16 citations), Management, Monitoring, Policy and Law (28 citations) and Immunology (42 citations). Chaoying Gu has collaborated with scholars based in China, United States and France. Frequent co-authors include Xu Yao, Wei Li, Zhuoqiong Qiu, Shangshang Wang, Ronghui Zhu, Xiaochun Liu, Xia Zhong Dou, Lei Gu, Wen‐Li Mi and Yufeng Zhou. Their work appears in journals such as Allergy, Journal of Clinical Medicine, British Journal of Dermatology, Journal of Investigative Dermatology and Engineering Geology.

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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