Linbin Dai
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Neurological Disease Mechanisms and Treatments
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Dementia and Cognitive Impairment Research 8
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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Neurological Disease Mechanisms and Treatments 2
- Intracerebral and Subarachnoid Hemorrhage Research 2
- Parkinson's Disease Mechanisms and Treatments 1
- Co-authors
- Yong Shen (12 shared papers)Feng Gao (10 shared papers)Xinyi Lv (8 shared papers)Qiong Wang (4 shared papers)Yan Wu (3 shared papers)Qiang Xie (3 shared papers)Jiong Shi (3 shared papers)Ming Ni (4 shared papers)
- Journals
- Alzheimer s & Dementia (3 papers)ACS Chemical Neuroscience (2 papers)中国科学通报：英文版 (2 papers)Journal of Neurology Neurosurgery & Psychiatry (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- ChinaSwedenUnited Kingdom
In The Last Decade
Linbin Dai
14 papers receiving 263 citations
Peers
Comparison fields: 5 of 51
- Biological Psychiatry 35
- Neurology 76
- Psychiatry and Mental health 66
- Physiology 106
- Developmental Neuroscience 9
Countries citing papers authored by Linbin Dai
This map shows the geographic impact of Linbin Dai'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 Linbin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linbin Dai more than expected).
Fields of papers citing papers by Linbin Dai
This network shows the impact of papers produced by Linbin Dai. 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 Linbin Dai. The network helps show where Linbin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Linbin Dai, 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 | 2021 | 73 | |
| 2 | 2022 | 61 | |
| 3 | 2023 | 27 | |
| 4 | 2020 | 17 | |
| 5 | 2023 | 16 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2025 | 10 | |
| 11 | 2023 | 8 | |
| 12 | 2025 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 1 |
About Linbin Dai
Linbin Dai is a scholar working on Psychiatry and Mental health, Neurology, Physiology, Neurology and Biological Psychiatry, having authored 14 papers that have together received 265 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurological Disease Mechanisms and Treatments (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Tryptophan and brain disorders (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Biological Psychiatry (35 citations), Neurology (76 citations), Psychiatry and Mental health (66 citations), Physiology (106 citations) and Developmental Neuroscience (9 citations). Linbin Dai has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Yong Shen, Feng Gao, Xinyi Lv, Qiong Wang, Yan Wu, Qiang Xie, Jiong Shi, Ming Ni, Xingxing Zhu and Qiong Wang. Their work appears in journals such as Alzheimer s & Dementia, ACS Chemical Neuroscience, 中国科学通报：英文版, Journal of Neurology Neurosurgery & Psychiatry and Frontiers in Neurology.
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.