Xiaorui Su
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 11
- Advanced Neuroimaging Techniques and Applications 6
- Advanced MRI Techniques and Applications 6
- MRI in cancer diagnosis 5
- Genetics 11
- Glioma Diagnosis and Treatment 11
- Co-authors
- Qiang Yue (25 shared papers)Qiyong Gong (24 shared papers)Simin Zhang (24 shared papers)Weina Wang (17 shared papers)Xibiao Yang (19 shared papers)Huaiqiang Sun (15 shared papers)Qiaoyue Tan (15 shared papers)Ni Chen (8 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (3 papers)Cytopathology (2 papers)Translational Psychiatry (2 papers)CNS Neuroscience & Therapeutics (2 papers)Neuroradiology (1 paper)
- Partner nations
- ChinaUnited KingdomTaiwan
In The Last Decade
Xiaorui Su
33 papers receiving 288 citations
Peers
Comparison fields: 5 of 68
- Genetics 118
- Radiology, Nuclear Medicine and Imaging 161
- Health Informatics 6
- Neurology 19
- Cognitive Neuroscience 43
Countries citing papers authored by Xiaorui Su
This map shows the geographic impact of Xiaorui Su'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 Xiaorui Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorui Su more than expected).
Fields of papers citing papers by Xiaorui Su
This network shows the impact of papers produced by Xiaorui Su. 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 Xiaorui Su. The network helps show where Xiaorui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaorui Su, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2021 | 27 | |
| 3 | 2018 | 18 | |
| 4 | 2018 | 14 | |
| 5 | 2018 | 14 | |
| 6 | 2023 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2011 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2018 | 4 |
About Xiaorui Su
Xiaorui Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Psychiatry and Mental health and Cognitive Neuroscience, having authored 36 papers that have together received 293 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Glioma Diagnosis and Treatment (11 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (6 papers), Epilepsy research and treatment (5 papers), MRI in cancer diagnosis (5 papers), Functional Brain Connectivity Studies (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Genetics (118 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Health Informatics (6 citations), Neurology (19 citations) and Cognitive Neuroscience (43 citations). Xiaorui Su has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Qiang Yue, Qiyong Gong, Simin Zhang, Weina Wang, Xibiao Yang, Huaiqiang Sun, Qiaoyue Tan, Ni Chen, Yan‐Hui Liu and Graham J. Kemp. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Cytopathology, Translational Psychiatry, CNS Neuroscience & Therapeutics and Neuroradiology.
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.