Nan Chen
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
Papers in
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- Spinal Cord Injury Research 6
-
- Epilepsy research and treatment 3
- Dementia and Cognitive Impairment Research 3
- Co-authors
- Kuncheng Li (15 shared papers)Wen Qin (12 shared papers)Barbara E. Ainsworth (1 shared paper)Yu Liu (1 shared paper)Chao Zhang (6 shared papers)Weimin Zheng (19 shared papers)Qian Chen (15 shared papers)Matthew J. Kuhn (1 shared paper)
- Journals
- Journal of Magnetic Resonance Imaging (3 papers)NeuroImage Clinical (2 papers)Brain Imaging and Behavior (2 papers)American Journal of Roentgenology (2 papers)CNS Neuroscience & Therapeutics (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Nan Chen
52 papers receiving 860 citations
Peers
Comparison fields: 5 of 86
- Nephrology 100
- Critical Care and Intensive Care Medicine 34
- Cognitive Neuroscience 146
- Psychiatry and Mental health 99
- Physiology 136
Countries citing papers authored by Nan Chen
This map shows the geographic impact of Nan Chen'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 Nan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Chen more than expected).
Fields of papers citing papers by Nan Chen
This network shows the impact of papers produced by Nan Chen. 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 Nan Chen. The network helps show where Nan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Chen, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 147 | |
| 2 | 2008 | 113 | |
| 3 | 2018 | 46 | |
| 4 | 2019 | 41 | |
| 5 | 2017 | 40 | |
| 6 | 2010 | 31 | |
| 7 | 2023 | 29 | |
| 8 | 2018 | 29 | |
| 9 | 2017 | 29 | |
| 10 | 2016 | 29 | |
| 11 | 2018 | 26 | |
| 12 | 2019 | 20 | |
| 13 | 2014 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2014 | 19 | |
| 16 | 2010 | 18 | |
| 17 | 2022 | 16 | |
| 18 | 2019 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2019 | 13 |
About Nan Chen
Nan Chen is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health, Epidemiology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 62 papers that have together received 878 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (7 papers), Functional Brain Connectivity Studies (7 papers), Spinal Cord Injury Research (6 papers), Traumatic Brain Injury Research (5 papers), Epilepsy research and treatment (3 papers), EEG and Brain-Computer Interfaces (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). The work is most often cited by research in Nephrology (100 citations), Critical Care and Intensive Care Medicine (34 citations), Cognitive Neuroscience (146 citations), Psychiatry and Mental health (99 citations) and Physiology (136 citations). Nan Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Kuncheng Li, Wen Qin, Barbara E. Ainsworth, Yu Liu, Chao Zhang, Weimin Zheng, Qian Chen, Matthew J. Kuhn, Dushyant V. Sahani and Edwin J.R. van Beek. Their work appears in journals such as Journal of Magnetic Resonance Imaging, NeuroImage Clinical, Brain Imaging and Behavior, American Journal of Roentgenology and CNS Neuroscience & Therapeutics.
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.