Ching‐Wei Chang
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- HER2/EGFR in Cancer Research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 22
- Cancer Immunotherapy and Biomarkers 10
- Cancer Treatment and Pharmacology 5
- HER2/EGFR in Cancer Research 3
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- Advanced Breast Cancer Therapies 12
- Ferroptosis and cancer prognosis 4
- Co-authors
- Nysia I. George (4 shared papers)Yung‐Feng Shih (1 shared paper)Chuhsing Kate Hsiao (1 shared paper)Por T. Hung (1 shared paper)Luciana Molinero (12 shared papers)Luke Lin (1 shared paper)Chien‐Jen Chen (1 shared paper)John D. Powderly (2 shared papers)
- Journals
- Cancer Research (11 papers)Clinical Cancer Research (5 papers)Journal of Clinical Oncology (4 papers)PLoS ONE (3 papers)Toxicology and Applied Pharmacology (2 papers)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Ching‐Wei Chang
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Oncology 519
- Cancer Research 239
- Pulmonary and Respiratory Medicine 308
- Immunology 193
- Ophthalmology 59
Countries citing papers authored by Ching‐Wei Chang
This map shows the geographic impact of Ching‐Wei 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 Ching‐Wei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Wei Chang more than expected).
Fields of papers citing papers by Ching‐Wei Chang
This network shows the impact of papers produced by Ching‐Wei 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 Ching‐Wei Chang. The network helps show where Ching‐Wei Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Wei 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
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 231 | |
| 2 | 2001 | 186 | |
| 3 | 2020 | 146 | |
| 4 | 2012 | 79 | |
| 5 | 2017 | 77 | |
| 6 | 2019 | 59 | |
| 7 | 2022 | 58 | |
| 8 | 2012 | 50 | |
| 9 | 2015 | 46 | |
| 10 | 2013 | 46 | |
| 11 | 2015 | 37 | |
| 12 | 2020 | 34 | |
| 13 | 2015 | 33 | |
| 14 | 2014 | 32 | |
| 15 | 2021 | 28 | |
| 16 | 2020 | 28 | |
| 17 | 2021 | 25 | |
| 18 | 2019 | 25 | |
| 19 | 2014 | 20 | |
| 20 | 2015 | 18 |
About Ching‐Wei Chang
Ching‐Wei Chang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Genetics, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (12 papers), Cancer Immunotherapy and Biomarkers (10 papers), Cancer Genomics and Diagnostics (6 papers), Cancer Treatment and Pharmacology (5 papers), Estrogen and related hormone effects (4 papers), Ferroptosis and cancer prognosis (4 papers), DNA Repair Mechanisms (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Oncology (519 citations), Cancer Research (239 citations), Pulmonary and Respiratory Medicine (308 citations), Immunology (193 citations) and Ophthalmology (59 citations). Ching‐Wei Chang has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Nysia I. George, Yung‐Feng Shih, Chuhsing Kate Hsiao, Por T. Hung, Luciana Molinero, Luke Lin, Chien‐Jen Chen, John D. Powderly, Sylvia Adams and Sara M. Tolaney. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Journal of Clinical Oncology, PLoS ONE and Toxicology and Applied Pharmacology.
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.