Ke‐Da Yu
Impact in
- Cancer Research top 0.5%
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Oncology top 1%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
-
- Breast Cancer Treatment Studies 59
- Cancer Genomics and Diagnostics 19
- Cancer-related molecular mechanisms research 12
- Oncology 91
- HER2/EGFR in Cancer Research 41
- Co-authors
- Zhi‐Ming ShaoLei FanJun-Jie LiJessica St. LouisDianne M. FinkelsteinPaul E. GossKathrin Strasser‐WeipplJiong Wu
- Journals
- Breast Cancer Research and Treatment (17 papers)Cancer Research (7 papers)Oncotarget (7 papers)PLoS ONE (6 papers)Clinical Cancer Research (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ke‐Da Yu
163 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 2.4k
- Oncology 2.5k
- Pathology and Forensic Medicine 614
- Molecular Biology 2.2k
- Pulmonary and Respiratory Medicine 890
Countries citing papers authored by Ke‐Da Yu
This map shows the geographic impact of Ke‐Da Yu'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 Ke‐Da Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke‐Da Yu more than expected).
Fields of papers citing papers by Ke‐Da Yu
This network shows the impact of papers produced by Ke‐Da Yu. 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 Ke‐Da Yu. The network helps show where Ke‐Da Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ke‐Da Yu, 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 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 39 | |
| 5 | 2022 | 89 | |
| 6 | 2022 | 41 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 114 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 37 | |
| 11 | 2020 | 46 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 265 | |
| 14 | 2016 | 71 | |
| 15 | 2016 | 157 | |
| 16 | 2015 | 8 | |
| 17 | 2014 | 35 | |
| 18 | 2013 | 127 | |
| 19 | 2011 | 23 | |
| 20 | 1983 | 10 |
About Ke‐Da Yu
Ke‐Da Yu is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Genetics and Immunology and Allergy, having authored 173 papers that have together received 5.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (59 papers), HER2/EGFR in Cancer Research (41 papers), Breast Lesions and Carcinomas (22 papers), Estrogen and related hormone effects (21 papers), Cancer Genomics and Diagnostics (19 papers), Advanced Breast Cancer Therapies (14 papers), BRCA gene mutations in cancer (13 papers) and Cancer-related molecular mechanisms research (12 papers). The work is most often cited by research in Cancer Research (2.4k citations), Oncology (2.5k citations), Pathology and Forensic Medicine (614 citations), Molecular Biology (2.2k citations) and Pulmonary and Respiratory Medicine (890 citations). Ke‐Da Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhi‐Ming Shao, Lei Fan, Jun-Jie Li, Jessica St. Louis, Dianne M. Finkelstein, Paul E. Goss, Kathrin Strasser‐Weippl, Jiong Wu, Yi-Zhou Jiang and Gen‐Hong Di. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer Research, Oncotarget, PLoS ONE and Clinical Cancer Research.
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.