Ciqiu Yang
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
- Oncology 32
- Cancer Treatment and Pharmacology 12
- HER2/EGFR in Cancer Research 8
- Cancer Immunotherapy and Biomarkers 7
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- Breast Cancer Treatment Studies 26
- Co-authors
- Kun Wang (40 shared papers)Liulu Zhang (33 shared papers)Teng Zhu (34 shared papers)Mei Yang (28 shared papers)Fei Ji (29 shared papers)Minyi Cheng (26 shared papers)Hongfei Gao (30 shared papers)Jieqing Li (20 shared papers)
In The Last Decade
Ciqiu Yang
52 papers receiving 657 citations
Ciqiu Yang's Hit Papers
Peers
Comparison fields: 5 of 65
- Cancer Research 298
- Radiology, Nuclear Medicine and Imaging 222
- Oncology 238
- Pathology and Forensic Medicine 141
- Health Informatics 5
Countries citing papers authored by Ciqiu Yang
This map shows the geographic impact of Ciqiu 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 Ciqiu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ciqiu Yang more than expected).
Fields of papers citing papers by Ciqiu Yang
This network shows the impact of papers produced by Ciqiu 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 Ciqiu Yang. The network helps show where Ciqiu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ciqiu 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study Hit paper breakdown → | 2023 | 94 |
| 2 | 2019 | 73 | |
| 3 | 2018 | 49 | |
| 4 | 2021 | 42 | |
| 5 | 2020 | 37 | |
| 6 | 2018 | 37 | |
| 7 | 2019 | 33 | |
| 8 | 2024 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2019 | 18 | |
| 12 | 2021 | 15 | |
| 13 | 2025 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2022 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2022 | 9 |
About Ciqiu Yang
Ciqiu Yang is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Surgery, having authored 58 papers that have together received 663 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (26 papers), Cancer Treatment and Pharmacology (12 papers), Breast Lesions and Carcinomas (10 papers), HER2/EGFR in Cancer Research (8 papers), Breast Implant and Reconstruction (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Advanced Breast Cancer Therapies (7 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Cancer Research (298 citations), Radiology, Nuclear Medicine and Imaging (222 citations), Oncology (238 citations), Pathology and Forensic Medicine (141 citations) and Health Informatics (5 citations). Ciqiu Yang has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Kun Wang, Liulu Zhang, Teng Zhu, Mei Yang, Fei Ji, Minyi Cheng, Hongfei Gao, Jieqing Li, Yi‐Jie Huang and Zhi‐Yong Wu. Their work appears in journals such as The Breast, Frontiers in Oncology, Journal of Clinical Oncology, Therapeutic Advances in Medical Oncology and Clinical & Translational Oncology.
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.