Yao‐Fei Chan
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
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- Cancer Immunotherapy and Biomarkers
Papers in
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- Immune Response and Inflammation 3
- Immune cells in cancer 3
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- Peroxisome Proliferator-Activated Receptors 1
- Epigenetics and DNA Methylation 1
- Co-authors
- Chun‐Hua Wang (4 shared papers)Shu‐Min Lin (4 shared papers)Po‐Hao Feng (5 shared papers)Han-Pin Kuo (4 shared papers)Fu‐Tsai Chung (2 shared papers)Kang‐Yun Lee (4 shared papers)Chun‐Liang Chou (2 shared papers)Chien‐Da Huang (3 shared papers)
- Journals
- Scientific Reports (2 papers)The Journal of Immunology (1 paper)International Journal of Cancer (1 paper)Oncotarget (1 paper)European Respiratory Journal (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yao‐Fei Chan
9 papers receiving 365 citations
Peers
Comparison fields: 5 of 56
- Immunology 219
- Oncology 131
- Cancer Research 56
- Pulmonary and Respiratory Medicine 69
- Molecular Biology 108
Countries citing papers authored by Yao‐Fei Chan
This map shows the geographic impact of Yao‐Fei Chan'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 Yao‐Fei Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao‐Fei Chan more than expected).
Fields of papers citing papers by Yao‐Fei Chan
This network shows the impact of papers produced by Yao‐Fei Chan. 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 Yao‐Fei Chan. The network helps show where Yao‐Fei Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao‐Fei Chan, 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 | 2012 | 142 | |
| 2 | 2011 | 81 | |
| 3 | 2018 | 33 | |
| 4 | 2012 | 31 | |
| 5 | 2009 | 25 | |
| 6 | 2019 | 23 | |
| 7 | 2017 | 20 | |
| 8 | 2014 | 8 | |
| 9 | 2017 | 6 |
About Yao‐Fei Chan
Yao‐Fei Chan is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 9 papers that have together received 369 indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), Immune cells in cancer (3 papers), NF-κB Signaling Pathways (2 papers), Lung Cancer Treatments and Mutations (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Lung Cancer Research Studies (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (219 citations), Oncology (131 citations), Cancer Research (56 citations), Pulmonary and Respiratory Medicine (69 citations) and Molecular Biology (108 citations). Yao‐Fei Chan has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chun‐Hua Wang, Shu‐Min Lin, Po‐Hao Feng, Han-Pin Kuo, Fu‐Tsai Chung, Kang‐Yun Lee, Chun‐Liang Chou, Chien‐Da Huang, Ya-Ling Chang and Chih-Teng Yu. Their work appears in journals such as Scientific Reports, The Journal of Immunology, International Journal of Cancer, Oncotarget and European Respiratory Journal.
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.