Xiaochun Fei
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
-
- Breast Cancer Treatment Studies 32
- Cancer-related molecular mechanisms research 6
- Oncology 44
- HER2/EGFR in Cancer Research 22
- Cancer Cells and Metastasis 8
- Cancer-related Molecular Pathways 6
- Journals
- Scientific Reports (7 papers)PLoS ONE (6 papers)Frontiers in Oncology (5 papers)Oncotarget (4 papers)Journal of Ultrasound in Medicine (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaochun Fei
84 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 764
- Oncology 874
- Pathology and Forensic Medicine 407
- Radiology, Nuclear Medicine and Imaging 456
- Immunology 292
Countries citing papers authored by Xiaochun Fei
This map shows the geographic impact of Xiaochun Fei'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 Xiaochun Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochun Fei more than expected).
Fields of papers citing papers by Xiaochun Fei
This network shows the impact of papers produced by Xiaochun Fei. 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 Xiaochun Fei. The network helps show where Xiaochun Fei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaochun Fei, 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 | 2023 | 7 | |
| 2 | 2023 | 46 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2017 | 66 | |
| 14 | 2017 | 21 | |
| 15 | 2016 | 82 | |
| 16 | [Risk factors of non-sentinel lymph node metastasis and performance of MSKCC nomogramin breast cancer patients with metastatic sentinel lymph node]. | 2015 | 6 |
| 17 | 2015 | 26 | |
| 18 | 2015 | 43 | |
| 19 | 2015 | 35 | |
| 20 | 2012 | 107 |
About Xiaochun Fei
Xiaochun Fei is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 90 papers that have together received 2.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (32 papers), HER2/EGFR in Cancer Research (22 papers), Breast Lesions and Carcinomas (22 papers), MRI in cancer diagnosis (10 papers), Cancer Cells and Metastasis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (764 citations), Oncology (874 citations), Pathology and Forensic Medicine (407 citations), Radiology, Nuclear Medicine and Imaging (456 citations) and Immunology (292 citations). Xiaochun Fei has collaborated with scholars based in China, United States and France. Frequent co-authors include Kunwei Shen, Xiaosong Chen, Yan Mao, Ou Huang, Weiguo Chen, Weimin Chai, Jiayi Wu, Jianrong He, Qing Qu and Yafen Li. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Oncology, Oncotarget and Journal of Ultrasound in Medicine.
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.