Xiaoya Fei
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
-
- Dermatology and Skin Diseases 6
- Immunology 11
- Psoriasis: Treatment and Pathogenesis 7
- T-cell and B-cell Immunology 2
- Co-authors
- Jiankun Song (26 shared papers)Le Kuai (25 shared papers)Yue Luo (20 shared papers)Bin Li (22 shared papers)Ying Luo (23 shared papers)Yi Ru (17 shared papers)Jingsi Jiang (15 shared papers)Xiaoxuan Ma (4 shared papers)
In The Last Decade
Xiaoya Fei
29 papers receiving 285 citations
Peers
Comparison fields: 5 of 63
- Rehabilitation 33
- Dermatology 40
- Complementary and alternative medicine 35
- Immunology 79
- Pharmaceutical Science 21
Countries citing papers authored by Xiaoya Fei
This map shows the geographic impact of Xiaoya Fei'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 Xiaoya Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoya Fei more than expected).
Fields of papers citing papers by Xiaoya Fei
This network shows the impact of papers produced by Xiaoya Fei. 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 Xiaoya Fei. The network helps show where Xiaoya Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoya Fei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 41 | |
| 2 | 2023 | 36 | |
| 3 | 2023 | 20 | |
| 4 | 2024 | 19 | |
| 5 | 2025 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2024 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 8 | |
| 14 | Gene set enrichment analysis and ingenuity pathway analysis to verify the impact of Wnt signaling in psoriasis treated with Taodan granules. | 2023 | 7 |
| 15 | 2024 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 5 |
About Xiaoya Fei
Xiaoya Fei is a scholar working on Dermatology, Immunology, Rehabilitation, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 288 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (7 papers), Dermatology and Skin Diseases (6 papers), Wound Healing and Treatments (5 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Pharmacological Effects of Natural Compounds (2 papers), Asthma and respiratory diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Rehabilitation (33 citations), Dermatology (40 citations), Complementary and alternative medicine (35 citations), Immunology (79 citations) and Pharmaceutical Science (21 citations). Xiaoya Fei has collaborated with scholars based in China and Thailand. Frequent co-authors include Jiankun Song, Le Kuai, Yue Luo, Bin Li, Ying Luo, Yi Ru, Jingsi Jiang, Xiaoxuan Ma, Qi Zheng and Xin Li. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, International Wound Journal, Frontiers in Pharmacology, International Immunopharmacology and Biomaterials.
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.