Baolin Wu
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
-
- Functional Brain Connectivity Studies 20
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- Advanced Neuroimaging Techniques and Applications 7
- Advanced MRI Techniques and Applications 6
- MRI in cancer diagnosis 3
- Co-authors
- Qingyun Long (2 shared papers)Qiyong Gong (19 shared papers)Zhiyun Jia (21 shared papers)Xuekun Li (9 shared papers)Jun Zhou (1 shared paper)Dongyong Zhu (1 shared paper)Meng Zhang (3 shared papers)Dongming Han (3 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (4 papers)Psychological Medicine (4 papers)Brain and Behavior (3 papers)Journal of Affective Disorders (2 papers)Cerebral Cortex (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Baolin Wu
40 papers receiving 469 citations
Peers
Comparison fields: 5 of 66
- Hepatology 71
- Cognitive Neuroscience 140
- Biological Psychiatry 16
- Radiology, Nuclear Medicine and Imaging 75
- Nephrology 15
Countries citing papers authored by Baolin Wu
This map shows the geographic impact of Baolin Wu'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 Baolin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baolin Wu more than expected).
Fields of papers citing papers by Baolin Wu
This network shows the impact of papers produced by Baolin Wu. 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 Baolin Wu. The network helps show where Baolin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Baolin Wu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2020 | 36 | |
| 3 | 2005 | 33 | |
| 4 | 2024 | 25 | |
| 5 | 2020 | 25 | |
| 6 | 2022 | 24 | |
| 7 | 2023 | 20 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2020 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 7 |
About Baolin Wu
Baolin Wu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Psychiatry and Mental health and Molecular Biology, having authored 43 papers that have together received 472 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (6 papers), Mental Health Research Topics (4 papers), MRI in cancer diagnosis (3 papers), Bipolar Disorder and Treatment (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Hepatology (71 citations), Cognitive Neuroscience (140 citations), Biological Psychiatry (16 citations), Radiology, Nuclear Medicine and Imaging (75 citations) and Nephrology (15 citations). Baolin Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qingyun Long, Qiyong Gong, Zhiyun Jia, Xuekun Li, Jun Zhou, Dongyong Zhu, Meng Zhang, Dongming Han, Xipeng Long and Jun Zhou. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Psychological Medicine, Brain and Behavior, Journal of Affective Disorders and Cerebral Cortex.
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.