Jing Liu
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- Advanced MRI Techniques and Applications 21
- Advanced Neuroimaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 8
- Cardiac Imaging and Diagnostics 7
- Neurology top 5%
- Biochemistry top 5%
- Urology top 5%
- Cognitive Neuroscience top 10%
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- Cancer, Hypoxia, and Metabolism 12
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- Pain Mechanisms and Treatments 8
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- Ferroptosis and cancer prognosis 7
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- Advanced Sensor and Energy Harvesting Materials 7
- Co-authors
- Pascal SpincemailleLudovic de RochefortYi WangTian LiuJames LedouxIldar KhalidovVincent LebonJianlin Wu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Angewandte Chemie International Edition (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jing Liu
204 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Radiology, Nuclear Medicine and Imaging 1.6k
- Neurology 339
- Biochemistry 156
- Urology 98
- Cognitive Neuroscience 247
Countries citing papers authored by Jing Liu
This map shows the geographic impact of Jing Liu'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 Jing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Liu more than expected).
Fields of papers citing papers by Jing Liu
This network shows the impact of papers produced by Jing Liu. 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 Jing Liu. The network helps show where Jing Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing Liu, 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 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 27 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 2 | |
| 20 | 2015 | 68 |
About Jing Liu
Jing Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biological Psychiatry and Cancer Research, having authored 233 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (21 papers), Cancer, Hypoxia, and Metabolism (12 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Pain Mechanisms and Treatments (8 papers), Ferroptosis and cancer prognosis (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Cardiac Imaging and Diagnostics (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Neurology (339 citations) and Biochemistry (156 citations). Jing Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Pascal Spincemaille, Ludovic de Rochefort, Yi Wang, Yi Wang, Tian Liu, James Ledoux, Ildar Khalidov, Vincent Lebon, Tian Liu and Jianlin Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.