Fei Yang
Impact in
- Cancer Research top 1%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
Papers in
- Oncology 27
- Cancer Immunotherapy and Biomarkers 8
- HER2/EGFR in Cancer Research 6
- Co-authors
- Anieta M. Sieuwerts (3 shared papers)Mieke Timmermans (3 shared papers)Jack X. Yu (2 shared papers)Maxime P. Look (2 shared papers)Dmitri Talantov (2 shared papers)John A. Foekens (2 shared papers)Els M.J.J. Berns (1 shared paper)Yi Zhang (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Cancer Research (5 papers)Frontiers in Oncology (4 papers)PLoS ONE (3 papers)npj Breast Cancer (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fei Yang
98 papers receiving 4.7k citations
Fei Yang's Hit Papers
Peers
Comparison fields: 5 of 126
- Cancer Research 1.3k
- Oncology 1.1k
- Molecular Biology 2.5k
- Cell Biology 251
- Immunology 293
Countries citing papers authored by Fei Yang
This map shows the geographic impact of Fei Yang'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 Fei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Yang more than expected).
Fields of papers citing papers by Fei Yang
This network shows the impact of papers produced by Fei Yang. 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 Fei Yang. The network helps show where Fei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Yang, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer Hit paper breakdown → | 2005 | 2103 |
| 2 | Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer Hit paper breakdown → | 2005 | 949 |
| 3 | CRISPR–Cas9-mediated gene editing of the BCL11A enhancer for pediatric β0/β0 transfusion-dependent β-thalassemia Hit paper breakdown → | 2022 | 119 |
| 4 | 2016 | 88 | |
| 5 | 2017 | 67 | |
| 6 | 2019 | 57 | |
| 7 | 2005 | 57 | |
| 8 | 2011 | 53 | |
| 9 | 2021 | 51 | |
| 10 | 2011 | 51 | |
| 11 | 2020 | 51 | |
| 12 | 2016 | 51 | |
| 13 | 2019 | 47 | |
| 14 | 2015 | 45 | |
| 15 | 2018 | 40 | |
| 16 | 2014 | 39 | |
| 17 | 2019 | 39 | |
| 18 | 2024 | 37 | |
| 19 | 2015 | 37 | |
| 20 | 2021 | 34 |
About Fei Yang
Fei Yang is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Cell Biology, having authored 105 papers that have together received 4.7k indexed citations. Recurring topics across this work include melanin and skin pigmentation (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Breast Cancer Treatment Studies (6 papers), HER2/EGFR in Cancer Research (6 papers), Cancer Genomics and Diagnostics (6 papers), Mast cells and histamine (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.1k citations), Molecular Biology (2.5k citations), Cell Biology (251 citations) and Immunology (293 citations). Fei Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Anieta M. Sieuwerts, Mieke Timmermans, Jack X. Yu, Maxime P. Look, Dmitri Talantov, John A. Foekens, Els M.J.J. Berns, Yi Zhang, Jan G.M. Klijn and Marion E. Meijer‐van Gelder. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Frontiers in Oncology, PLoS ONE and npj Breast Cancer.
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.