Wei‐Ming Wang
Impact in
- Dermatology top 5%
- Dermatology and Skin Diseases
- Cancer Research top 10%
Papers in
-
- Epigenetics and DNA Methylation 6
- Gut microbiota and health 5
- Immunology 19
- Psoriasis: Treatment and Pathogenesis 8
- Co-authors
- Chih‐Tsung Hung (26 shared papers)Chien‐Ping Chiang (30 shared papers)Chi‐Hsiang Chung (12 shared papers)Chang‐Huei Tsao (9 shared papers)Guang‐Tao Yu (3 shared papers)Shih‐Ming Huang (8 shared papers)Yi‐Hsien Chen (14 shared papers)Yung‐Lung Chang (7 shared papers)
- Journals
- The Journal of Dermatology (9 papers)PLoS ONE (7 papers)American Journal of Nephrology (3 papers)Frontiers in Endocrinology (3 papers)Medicine (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Wei‐Ming Wang
134 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 135
- Dermatology 140
- Cancer Research 163
- Molecular Biology 732
- Cell Biology 151
- Immunology 167
Countries citing papers authored by Wei‐Ming Wang
This map shows the geographic impact of Wei‐Ming Wang'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 Wei‐Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Ming Wang more than expected).
Fields of papers citing papers by Wei‐Ming Wang
This network shows the impact of papers produced by Wei‐Ming Wang. 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 Wei‐Ming Wang. The network helps show where Wei‐Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Ming Wang, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2021 | 60 | |
| 3 | 2013 | 56 | |
| 4 | 2013 | 54 | |
| 5 | 2021 | 53 | |
| 6 | 2014 | 39 | |
| 7 | 2008 | 37 | |
| 8 | 2019 | 36 | |
| 9 | 2022 | 36 | |
| 10 | 2013 | 36 | |
| 11 | 2011 | 35 | |
| 12 | 2019 | 33 | |
| 13 | 2020 | 30 | |
| 14 | 2021 | 29 | |
| 15 | 2014 | 29 | |
| 16 | 2019 | 28 | |
| 17 | Prognostic and predictive values of SPP1, PAI and caveolin-1 in patients with oral squamous cell carcinoma. | 2014 | 27 |
| 18 | 2019 | 26 | |
| 19 | 2017 | 26 | |
| 20 | 2015 | 24 |
About Wei‐Ming Wang
Wei‐Ming Wang is a scholar working on Molecular Biology, Immunology, Dermatology, Oncology and Pathology and Forensic Medicine, having authored 141 papers that have together received 1.7k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (8 papers), Dermatology and Skin Diseases (7 papers), Autoimmune Bullous Skin Diseases (7 papers), Epigenetics and DNA Methylation (6 papers), Gut microbiota and health (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Urticaria and Related Conditions (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Dermatology (140 citations), Cancer Research (163 citations), Molecular Biology (732 citations), Cell Biology (151 citations) and Immunology (167 citations). Wei‐Ming Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chih‐Tsung Hung, Chien‐Ping Chiang, Chi‐Hsiang Chung, Chang‐Huei Tsao, Guang‐Tao Yu, Shih‐Ming Huang, Yi‐Hsien Chen, Yung‐Lung Chang, Cheng‐Ming Chiang and A-Young Lee. Their work appears in journals such as The Journal of Dermatology, PLoS ONE, American Journal of Nephrology, Frontiers in Endocrinology and Medicine.
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.