Gin-Wen Chang
Impact in
- Cancer Research top 0.2%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 2%
- Mitochondrial Function and Pathology
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
-
- Cell Adhesion Molecules Research 5
-
- Proteoglycans and glycosaminoglycans research 3
- Co-authors
- Matthew E. CockmanPatrick H. MaxwellChristopher W. PughPeter J. RatcliffeSteven C. CliffordEamonn R. MaherCharles C. WykoffMichael S. Wiesener
- Journals
- Journal of Biological Chemistry (3 papers)FEBS Letters (2 papers)Scientific Reports (1 paper)Advances in experimental medicine and biology (1 paper)Journal of Microbiology Immunology and Infection (1 paper)
- Partner nations
- United KingdomTaiwanNetherlands
In The Last Decade
Gin-Wen Chang
18 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 3.8k
- Molecular Biology 3.8k
- Biochemistry 248
- Genetics 744
- Oncology 692
Countries citing papers authored by Gin-Wen Chang
This map shows the geographic impact of Gin-Wen Chang'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 Gin-Wen Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gin-Wen Chang more than expected).
Fields of papers citing papers by Gin-Wen Chang
This network shows the impact of papers produced by Gin-Wen Chang. 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 Gin-Wen Chang. The network helps show where Gin-Wen Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gin-Wen Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 9 | |
| 2 | 2018 | 9 | |
| 3 | 2017 | 30 | |
| 4 | 2017 | 16 | |
| 5 | 2016 | 39 | |
| 6 | 2016 | 39 | |
| 7 | 2014 | 10 | |
| 8 | 2011 | 66 | |
| 9 | 2010 | 28 | |
| 10 | 2008 | 4 | |
| 11 | 2007 | 22 | |
| 12 | 2006 | 40 | |
| 13 | 2005 | 5 | |
| 14 | 2003 | 56 | |
| 15 | 2003 | 177 | |
| 16 | 2002 | 55 | |
| 17 | Hypoxia Inducible Factor-α Binding and Ubiquitylation by the von Hippel-Lindau Tumor Suppressor Protein Hit paper breakdown → | 2000 | 893 |
| 18 | The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis Hit paper breakdown → | 1999 | 4162 |
About Gin-Wen Chang
Gin-Wen Chang is a scholar working on Immunology and Allergy, Cell Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 18 papers that have together received 5.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cell Adhesion Molecules Research (5 papers), Neuropeptides and Animal Physiology (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Cancer Research (3.8k citations), Molecular Biology (3.8k citations), Biochemistry (248 citations), Genetics (744 citations) and Oncology (692 citations). Gin-Wen Chang has collaborated with scholars based in United Kingdom, Taiwan and Netherlands. Frequent co-authors include Matthew E. Cockman, Patrick H. Maxwell, Christopher W. Pugh, Peter J. Ratcliffe, Steven C. Clifford, Eamonn R. Maher, Charles C. Wykoff, Michael S. Wiesener, Norma Masson and Panu Jaakkola. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Scientific Reports, Advances in experimental medicine and biology and Journal of Microbiology Immunology and Infection.
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.