Ming‐Wei Lin
Impact in
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- Urticaria and Related Conditions
- IgG4-Related and Inflammatory Diseases
-
- Autoimmune Bullous Skin Diseases
Papers in
- Rheumatology 19
- Systemic Lupus Erythematosus Research 13
-
- Autoimmune Bullous Skin Diseases 7
- Co-authors
- David A. Fulcher (7 shared papers)Adrian Y. S. Lee (10 shared papers)Dan Suan (3 shared papers)Mark Schifter (6 shared papers)Winny Varikatt (4 shared papers)Jing Hua Zhao (1 shared paper)David Curtis (1 shared paper)Julian J. Bosco (1 shared paper)
- Journals
- Pathology (6 papers)PLoS ONE (2 papers)Arthritis Care & Research (2 papers)Frontiers in Neurology (2 papers)Scientific Reports (1 paper)
- Partner nations
- AustraliaTaiwanUnited Kingdom
In The Last Decade
Ming‐Wei Lin
43 papers receiving 402 citations
Peers
Comparison fields: 5 of 91
- Rheumatology 134
- Pathology and Forensic Medicine 69
- Speech and Hearing 22
- Psychiatry and Mental health 45
- Genetics 30
Countries citing papers authored by Ming‐Wei Lin
This map shows the geographic impact of Ming‐Wei Lin'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 Ming‐Wei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Wei Lin more than expected).
Fields of papers citing papers by Ming‐Wei Lin
This network shows the impact of papers produced by Ming‐Wei Lin. 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 Ming‐Wei Lin. The network helps show where Ming‐Wei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Wei Lin, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 52 | |
| 2 | 2017 | 39 | |
| 3 | 2017 | 31 | |
| 4 | 2000 | 27 | |
| 5 | 2012 | 27 | |
| 6 | 2023 | 19 | |
| 7 | 2011 | 15 | |
| 8 | 2014 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2014 | 12 | |
| 12 | 2014 | 11 | |
| 13 | 2011 | 11 | |
| 14 | 2003 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2004 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2019 | 8 | |
| 19 | 2013 | 7 | |
| 20 | 2010 | 7 |
About Ming‐Wei Lin
Ming‐Wei Lin is a scholar working on Rheumatology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology, having authored 48 papers that have together received 404 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Autoimmune Bullous Skin Diseases (7 papers), Renal Diseases and Glomerulopathies (6 papers), Menstrual Health and Disorders (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), T-cell and B-cell Immunology (3 papers) and Pain Management and Placebo Effect (3 papers). The work is most often cited by research in Rheumatology (134 citations), Pathology and Forensic Medicine (69 citations), Speech and Hearing (22 citations), Psychiatry and Mental health (45 citations) and Genetics (30 citations). Ming‐Wei Lin has collaborated with scholars based in Australia, Taiwan and United Kingdom. Frequent co-authors include David A. Fulcher, Adrian Y. S. Lee, Dan Suan, Mark Schifter, Winny Varikatt, Jing Hua Zhao, David Curtis, Julian J. Bosco, Pak C. Sham and Allison Tong. Their work appears in journals such as Pathology, PLoS ONE, Arthritis Care & Research, Frontiers in Neurology and Scientific Reports.
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.