Peiyu Huang
- Neurology top 1%
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Cellular and Molecular Neuroscience top 2%
- Psychiatry and Mental health top 5%
- Topics
- Functional Brain Connectivity Studies (72 papers)Advanced Neuroimaging Techniques and Applications (71 papers)Parkinson's Disease Mechanisms and Treatments (51 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Peiyu Huang
198 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Neurology 1.3k
- Cognitive Neuroscience 1.1k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Cellular and Molecular Neuroscience 645
- Psychiatry and Mental health 422
Countries citing papers authored by Peiyu Huang
This map shows the geographic impact of Peiyu Huang'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 Peiyu Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiyu Huang more than expected).
Fields of papers citing papers by Peiyu Huang
This network shows the impact of papers produced by Peiyu Huang. 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 Peiyu Huang. The network helps show where Peiyu Huang may publish in the future.
Co-authorship network of co-authors of Peiyu Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Peiyu Huang. A scholar is included among the top collaborators of Peiyu Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peiyu Huang. Peiyu Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | The relationship between amyloid pathology, cerebral small vessel disease, glymphatic dysfunction, and cognition: a study based on Alzheimer’s disease continuum participantsbreakdown → | 50 |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 49 | |
| 17 | 8 | |
| 18 | 85 | |
| 19 | 52 | |
| 20 | [Decreased occipital GABA concentrations in patients with first-episode major depressive disorder: a magnetic resonance spectroscopy study]. | 9 |
About Peiyu Huang
Peiyu Huang is a scholar working on Neurology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 209 papers that have together received 3.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (72 papers), Advanced Neuroimaging Techniques and Applications (71 papers) and Parkinson's Disease Mechanisms and Treatments (51 papers). The work is most often cited by research in Neurology (1.3k citations), Cognitive Neuroscience (1.1k citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Peiyu Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Minming Zhang, Xiaojun Xu, Min Xuan, Xiao Luo, Quanquan Gu, Xiaojun Guan, Xinfeng Yu, Yeerfan Jiaerken, Wei Luo and Zhujing Shen. Their work appears in journals such as Advanced Materials, Nature Communications and ACS Nano.
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.