Xiaorui Su
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
Papers in
- Genetics 10
- Glioma Diagnosis and Treatment 10
-
- Eating Disorders and Behaviors 2
- Co-authors
- Qiang Yue (25 shared papers)Simin Zhang (24 shared papers)Qiyong Gong (24 shared papers)Qiaoyue Tan (21 shared papers)Huaiqiang Sun (15 shared papers)Weina Wang (17 shared papers)Xibiao Yang (20 shared papers)Ni Chen (8 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (3 papers)Translational Psychiatry (2 papers)Cytopathology (2 papers)CNS Neuroscience & Therapeutics (2 papers)World Neurosurgery (2 papers)
- Partner nations
- ChinaUnited KingdomTaiwan
In The Last Decade
Xiaorui Su
35 papers receiving 303 citations
Peers
Comparison fields: 5 of 63
- Genetics 110
- Radiology, Nuclear Medicine and Imaging 93
- Health Informatics 4
- Biological Psychiatry 5
- Psychiatry and Mental health 26
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2021 | 27 | |
| 3 | 2018 | 19 | |
| 4 | 2018 | 14 | |
| 5 | 2018 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2011 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 5 |
About Xiaorui Su
Xiaorui Su is a scholar working on Genetics, Clinical Psychology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 37 papers that have together received 308 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Eating Disorders and Behaviors (2 papers), Herpesvirus Infections and Treatments (2 papers), Sleep and Wakefulness Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Epilepsy research and treatment (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (110 citations), Radiology, Nuclear Medicine and Imaging (93 citations), Health Informatics (4 citations), Biological Psychiatry (5 citations) and Psychiatry and Mental health (26 citations). Xiaorui Su has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Qiang Yue, Simin Zhang, Qiyong Gong, Qiaoyue Tan, Huaiqiang Sun, Weina Wang, Xibiao Yang, Ni Chen, Yan‐Hui Liu and Graham J. Kemp. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Translational Psychiatry, Cytopathology, CNS Neuroscience & Therapeutics and World Neurosurgery.
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.