Jun Shu
Impact in
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- Renal cell carcinoma treatment
- Lung Cancer Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Renal cell carcinoma treatment 3
- Lung Cancer Diagnosis and Treatment 2
- Oncology 5
- Co-authors
- Xiaoli Meng (3 shared papers)Didi Wen (3 shared papers)Hong Yin (2 shared papers)Zhengting Cai (2 shared papers)Yuwei Xia (2 shared papers)Jingsong Zhang (1 shared paper)Jingjing Cui (1 shared paper)Shiqi Yu (2 shared papers)
- Journals
- European Journal of Radiology (3 papers)Gene (1 paper)BioMed Research International (1 paper)Molecular Imaging and Biology (1 paper)Orthopedics (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jun Shu
21 papers receiving 365 citations
Peers
Comparison fields: 5 of 66
- Pulmonary and Respiratory Medicine 155
- Radiology, Nuclear Medicine and Imaging 82
- Health Informatics 3
- Rheumatology 21
- Oncology 27
Countries citing papers authored by Jun Shu
This map shows the geographic impact of Jun Shu'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 Jun Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shu more than expected).
Fields of papers citing papers by Jun Shu
This network shows the impact of papers produced by Jun Shu. 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 Jun Shu. The network helps show where Jun Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 110 | |
| 2 | 2019 | 67 | |
| 3 | 2023 | 28 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2020 | 16 | |
| 8 | 2014 | 14 | |
| 9 | 2012 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2017 | 8 | |
| 12 | 2010 | 7 | |
| 13 | Precise and comprehensive evaluation of perianal fistulas, classification and related complications using magnetic resonance imaging. | 2023 | 6 |
| 14 | 2013 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Jun Shu
Jun Shu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Surgery, having authored 24 papers that have together received 373 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (3 papers), 3D Shape Modeling and Analysis (3 papers), 3D Surveying and Cultural Heritage (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers), Folate and B Vitamins Research (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (155 citations), Radiology, Nuclear Medicine and Imaging (82 citations), Health Informatics (3 citations), Rheumatology (21 citations) and Oncology (27 citations). Jun Shu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiaoli Meng, Didi Wen, Hong Yin, Zhengting Cai, Yuwei Xia, Jingsong Zhang, Jingjing Cui, Shiqi Yu, Jie Zhang and Yibin Xi. Their work appears in journals such as European Journal of Radiology, Gene, BioMed Research International, Molecular Imaging and Biology and Orthopedics.
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.