Yurui Gao
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- Advanced Neuroimaging Techniques and Applications 44
- Advanced MRI Techniques and Applications 32
- MRI in cancer diagnosis 5
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 30
- Neural dynamics and brain function 2
- Computational Mathematics top 10%
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- Bone and Joint Diseases 6
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research 5
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- Fetal and Pediatric Neurological Disorders 5
- Co-authors
- Adam W. AndersonKurt G. SchillingBennett A. LandmanIwona StepniewskaVaibhav JanveJohn C. GoreZhaohua DingMuwei Li
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)PLoS ONE (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yurui Gao
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 996
- Cognitive Neuroscience 641
- Computational Mathematics 11
- Orthopedics and Sports Medicine 106
- Psychiatry and Mental health 134
Countries citing papers authored by Yurui Gao
This map shows the geographic impact of Yurui Gao'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 Yurui Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yurui Gao more than expected).
Fields of papers citing papers by Yurui Gao
This network shows the impact of papers produced by Yurui Gao. 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 Yurui Gao. The network helps show where Yurui Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yurui Gao, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 17 | |
| 14 | 2019 | 101 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 21 | |
| 17 | 2014 | 10 | |
| 18 | 2013 | 51 | |
| 19 | 2013 | 46 | |
| 20 | 2013 | 15 |
About Yurui Gao
Yurui Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Cognitive Neuroscience, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (44 papers), Advanced MRI Techniques and Applications (32 papers), Functional Brain Connectivity Studies (30 papers), Bone and Joint Diseases (6 papers), MRI in cancer diagnosis (5 papers), Fetal and Pediatric Neurological Disorders (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (996 citations), Cognitive Neuroscience (641 citations) and Computational Mathematics (11 citations). Yurui Gao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman, Iwona Stepniewska, Vaibhav Janve, John C. Gore, Zhaohua Ding, Muwei Li, Baxter P. Rogers and Yali Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.