Can Sheng
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
Papers in
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- Functional Brain Connectivity Studies 15
- Neural dynamics and brain function 3
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- Dementia and Cognitive Impairment Research 15
- Co-authors
- Ying Han (21 shared papers)Xiaoni Wang (11 shared papers)Yu Sun (13 shared papers)Yuxia Li (12 shared papers)Yong He (3 shared papers)Wenying Du (9 shared papers)Jiehui Jiang (9 shared papers)Yan Lin (1 shared paper)
- Journals
- Journal of Alzheimer s Disease (9 papers)Frontiers in Aging Neuroscience (2 papers)Neural Plasticity (2 papers)Neurobiology of Aging (2 papers)Neurological Sciences (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Can Sheng
39 papers receiving 787 citations
Peers
Comparison fields: 5 of 91
- Biological Psychiatry 63
- Psychiatry and Mental health 209
- Cognitive Neuroscience 276
- Neurology 78
- Radiology, Nuclear Medicine and Imaging 134
Countries citing papers authored by Can Sheng
This map shows the geographic impact of Can Sheng'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 Can Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Sheng more than expected).
Fields of papers citing papers by Can Sheng
This network shows the impact of papers produced by Can Sheng. 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 Can Sheng. The network helps show where Can Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Sheng, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | 2015 | 76 | |
| 3 | 2018 | 65 | |
| 4 | 2021 | 59 | |
| 5 | 2022 | 56 | |
| 6 | 2016 | 40 | |
| 7 | 2016 | 39 | |
| 8 | 2019 | 39 | |
| 9 | 2024 | 27 | |
| 10 | 2019 | 27 | |
| 11 | 2022 | 25 | |
| 12 | 2015 | 25 | |
| 13 | 2019 | 23 | |
| 14 | 2022 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2020 | 20 | |
| 17 | 2017 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2017 | 14 |
About Can Sheng
Can Sheng is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 40 papers that have together received 802 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (15 papers), Functional Brain Connectivity Studies (15 papers), Alzheimer's disease research and treatments (8 papers), Gut microbiota and health (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (4 papers), Neural dynamics and brain function (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Psychiatry and Mental health (209 citations), Cognitive Neuroscience (276 citations), Neurology (78 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). Can Sheng has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Ying Han, Xiaoni Wang, Yu Sun, Yuxia Li, Yong He, Wenying Du, Jiehui Jiang, Yan Lin, Lin Ma and Peiyan Shan. Their work appears in journals such as Journal of Alzheimer s Disease, Frontiers in Aging Neuroscience, Neural Plasticity, Neurobiology of Aging and Neurological Sciences.
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.