Yu‐Wen Su
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Psoriasis: Treatment and Pathogenesis
- T-cell and B-cell Immunology
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Bone and Joint Diseases 7
- Oncology 12
- Bone health and treatments 7
- Co-authors
- Qianjin Lu (13 shared papers)Cory J. Xian (30 shared papers)Ming Zhao (11 shared papers)Mohammadhossein Hassanshahi (14 shared papers)Nan Hu (3 shared papers)Chien‐Yi Hsu (8 shared papers)Samira Khabbazi (7 shared papers)Alireza Hassanshahi (6 shared papers)
In The Last Decade
Yu‐Wen Su
74 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 117
- Immunology 587
- Cancer Research 275
- Rheumatology 273
- Rehabilitation 98
- Dermatology 126
Countries citing papers authored by Yu‐Wen Su
This map shows the geographic impact of Yu‐Wen Su'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 Yu‐Wen Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Wen Su more than expected).
Fields of papers citing papers by Yu‐Wen Su
This network shows the impact of papers produced by Yu‐Wen Su. 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 Yu‐Wen Su. The network helps show where Yu‐Wen Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Wen Su, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Abnormal histone modification patterns in lupus CD4+ T cells. | 2008 | 228 |
| 2 | 2009 | 215 | |
| 3 | 2018 | 159 | |
| 4 | 2013 | 130 | |
| 5 | 2010 | 99 | |
| 6 | 2020 | 96 | |
| 7 | 2006 | 89 | |
| 8 | 2010 | 77 | |
| 9 | 2016 | 71 | |
| 10 | 2017 | 69 | |
| 11 | 2009 | 63 | |
| 12 | 2016 | 63 | |
| 13 | 2016 | 58 | |
| 14 | 2017 | 55 | |
| 15 | 2014 | 52 | |
| 16 | 2008 | 51 | |
| 17 | 2011 | 47 | |
| 18 | 2014 | 46 | |
| 19 | 2013 | 43 | |
| 20 | 2011 | 42 |
About Yu‐Wen Su
Yu‐Wen Su is a scholar working on Orthopedics and Sports Medicine, Oncology, Cancer Research, Molecular Biology and Rheumatology, having authored 74 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (10 papers), Bone health and treatments (7 papers), Bone and Joint Diseases (7 papers), Epigenetics and DNA Methylation (4 papers), Angiogenesis and VEGF in Cancer (4 papers), MicroRNA in disease regulation (4 papers), Heterotopic Ossification and Related Conditions (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Immunology (587 citations), Cancer Research (275 citations), Rheumatology (273 citations), Rehabilitation (98 citations) and Dermatology (126 citations). Yu‐Wen Su has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Qianjin Lu, Cory J. Xian, Ming Zhao, Mohammadhossein Hassanshahi, Nan Hu, Chien‐Yi Hsu, Samira Khabbazi, Alireza Hassanshahi, Yaser Peymanfar and Xianyang Qiu. Their work appears in journals such as Journal of Cellular Physiology, British Journal of Dermatology, Journal of Orthopaedic Research®, International Journal of Molecular Sciences and Cells.
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.