Yan‐Wei Xiang
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Inflammasome and immune disorders 4
- Oncology 7
- Cytokine Signaling Pathways and Interactions 3
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Bin Li (8 shared papers)Fulun Li (2 shared papers)Xin Li (2 shared papers)Xisong Ke (1 shared paper)Chengqian Yin (1 shared paper)Guang‐Bo Ge (4 shared papers)Xiao Miao (3 shared papers)Bin Fan (3 shared papers)
- Journals
- Journal of Ethnopharmacology (4 papers)Medicine (1 paper)Journal of Agricultural and Food Chemistry (1 paper)British Journal of Pharmacology (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yan‐Wei Xiang
26 papers receiving 600 citations
Peers
Comparison fields: 5 of 95
- Rehabilitation 36
- Immunology 118
- Oncology 133
- Dermatology 36
- Complementary and alternative medicine 32
Countries citing papers authored by Yan‐Wei Xiang
This map shows the geographic impact of Yan‐Wei Xiang'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 Yan‐Wei Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Wei Xiang more than expected).
Fields of papers citing papers by Yan‐Wei Xiang
This network shows the impact of papers produced by Yan‐Wei Xiang. 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 Yan‐Wei Xiang. The network helps show where Yan‐Wei Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐Wei Xiang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 210 | |
| 2 | 2021 | 61 | |
| 3 | 2019 | 45 | |
| 4 | 2020 | 35 | |
| 5 | 2021 | 35 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 30 | |
| 8 | 2020 | 21 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 17 | |
| 11 | 2021 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 5 |
About Yan‐Wei Xiang
Yan‐Wei Xiang is a scholar working on Molecular Biology, Oncology, Immunology, Pharmacology and Rehabilitation, having authored 27 papers that have together received 604 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), Wound Healing and Treatments (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Computational Drug Discovery Methods (2 papers), Immune Cell Function and Interaction (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Rehabilitation (36 citations), Immunology (118 citations), Oncology (133 citations), Dermatology (36 citations) and Complementary and alternative medicine (32 citations). Yan‐Wei Xiang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Bin Li, Fulun Li, Xin Li, Xisong Ke, Chengqian Yin, Guang‐Bo Ge, Xiao Miao, Bin Fan, Yiran Chen and Xiao‐Qing Guan. Their work appears in journals such as Journal of Ethnopharmacology, Medicine, Journal of Agricultural and Food Chemistry, British Journal of Pharmacology and Journal of Investigative Dermatology.
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.