Xianjun Ye
Impact in
Papers in
- Oncology 7
- Cancer Cells and Metastasis 3
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Matthew D. McCluskey (3 shared papers)Mark G. Kuzyk (2 shared papers)Nianan He (4 shared papers)Zhihong Zhao (1 shared paper)Shenglong Zhang (1 shared paper)John S. Condeelis (6 shared papers)Maja H. Oktay (6 shared papers)David Entenberg (6 shared papers)
- Journals
- Journal of Ultrasound in Medicine (3 papers)Angewandte Chemie International Edition (2 papers)Open Biology (1 paper)International Journal of Surgery (1 paper)Medical Physics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xianjun Ye
24 papers receiving 280 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 40
- Biophysics 15
- Oncology 64
- Immunology 37
- Biomedical Engineering 65
Countries citing papers authored by Xianjun Ye
This map shows the geographic impact of Xianjun Ye'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 Xianjun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianjun Ye more than expected).
Fields of papers citing papers by Xianjun Ye
This network shows the impact of papers produced by Xianjun Ye. 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 Xianjun Ye. The network helps show where Xianjun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Xianjun Ye, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 91 | |
| 2 | 2014 | 33 | |
| 3 | 2017 | 32 | |
| 4 | 2022 | 22 | |
| 5 | 2019 | 14 | |
| 6 | 2023 | 11 | |
| 7 | 2025 | 11 | |
| 8 | 2013 | 11 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2025 | 1 |
About Xianjun Ye
Xianjun Ye is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 26 papers that have together received 286 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Ultrasound and Hyperthermia Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Cells and Metastasis (3 papers), AI in cancer detection (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Nanoplatforms for cancer theranostics (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (40 citations), Biophysics (15 citations), Oncology (64 citations), Immunology (37 citations) and Biomedical Engineering (65 citations). Xianjun Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Matthew D. McCluskey, Mark G. Kuzyk, Nianan He, Zhihong Zhao, Shenglong Zhang, John S. Condeelis, Maja H. Oktay, David Entenberg, Ved P. Sharma and Anouchka Coste. Their work appears in journals such as Journal of Ultrasound in Medicine, Angewandte Chemie International Edition, Open Biology, International Journal of Surgery and Medical Physics.
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.