Yijun Liu
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Biological Psychiatry top 10%
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- Neurotransmitter Receptor Influence on Behavior 6
- Neuroscience and Neuropharmacology Research 3
- Cognitive Neuroscience top 10%
- Neural and Behavioral Psychology Studies 4
- Behavioral Neuroscience top 10%
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- 3D Printing in Biomedical Research 5
- Innovative Microfluidic and Catalytic Techniques Innovation 2
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- Erythrocyte Function and Pathophysiology 2
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- High-Voltage Power Transmission Systems 2
- Co-authors
- Shumin DuanKaren M. von DeneenHuifang LouZhihua GaoKelei CaoBin ZhangLunhao ChenWeihao Mai
- Journals
- Magnetic Resonance in Medicine (2 papers)Lab on a Chip (2 papers)International Journal of Medical Sciences (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yijun Liu
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Neurology 185
- Biological Psychiatry 47
- Cellular and Molecular Neuroscience 309
- Cognitive Neuroscience 253
- Behavioral Neuroscience 36
Countries citing papers authored by Yijun Liu
This map shows the geographic impact of Yijun Liu'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 Yijun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yijun Liu more than expected).
Fields of papers citing papers by Yijun Liu
This network shows the impact of papers produced by Yijun Liu. 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 Yijun Liu. The network helps show where Yijun Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yijun Liu, 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 | 2025 | 9 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 52 | |
| 11 | 2020 | 81 | |
| 12 | 2018 | 18 | |
| 13 | 2015 | 15 | |
| 14 | 2014 | 87 | |
| 15 | 2012 | 9 | |
| 16 | 2011 | 42 | |
| 17 | 2011 | 70 | |
| 18 | 2000 | 23 | |
| 19 | 1999 | 12 | |
| 20 | 1998 | 73 |
About Yijun Liu
Yijun Liu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience, Physiology and Endocrine and Autonomic Systems, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (6 papers), 3D Printing in Biomedical Research (5 papers), Neural and Behavioral Psychology Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and High-Voltage Power Transmission Systems (2 papers). The work is most often cited by research in Neurology (185 citations), Biological Psychiatry (47 citations), Cellular and Molecular Neuroscience (309 citations), Cognitive Neuroscience (253 citations) and Behavioral Neuroscience (36 citations). Yijun Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shumin Duan, Karen M. von Deneen, Huifang Lou, Zhihua Gao, Kelei Cao, Bin Zhang, Lunhao Chen, Weihao Mai, Yaling Hu and Yi Zhang. Their work appears in journals such as Magnetic Resonance in Medicine, Lab on a Chip, International Journal of Medical Sciences, Pharmacology Biochemistry and Behavior and Bio-Design and Manufacturing.
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.