Wan Liu
Impact in
- Sensory Systems top 10%
- Biomaterials top 10%
Papers in
-
- Plant Stress Responses and Tolerance 4
- Co-authors
- Daidi Fan (5 shared papers)Xiaoyan Zheng (3 shared papers)Junfeng Hui (5 shared papers)Peidong Tai (5 shared papers)Fengwei Huo (1 shared paper)Ruijie Xie (1 shared paper)Jingyu Zhu (1 shared paper)Jiansheng Wu (1 shared paper)
- Journals
- Nano Research (4 papers)Environmental Science and Pollution Research (3 papers)Frontiers in Neuroscience (3 papers)Journal of Drug Delivery Science and Technology (2 papers)Water (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wan Liu
115 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 163
- Sensory Systems 43
- Biomaterials 99
- Pollution 86
- Molecular Medicine 35
- Immunology 147
Countries citing papers authored by Wan Liu
This map shows the geographic impact of Wan 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 Wan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Liu more than expected).
Fields of papers citing papers by Wan Liu
This network shows the impact of papers produced by Wan 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 Wan Liu. The network helps show where Wan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan 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
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 130 | |
| 2 | 2021 | 92 | |
| 3 | 2022 | 84 | |
| 4 | 2018 | 77 | |
| 5 | 2018 | 62 | |
| 6 | 2017 | 44 | |
| 7 | 2011 | 42 | |
| 8 | 2017 | 42 | |
| 9 | 2018 | 42 | |
| 10 | 2014 | 39 | |
| 11 | 2020 | 38 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 33 | |
| 14 | 2019 | 30 | |
| 15 | 2023 | 30 | |
| 16 | 2021 | 29 | |
| 17 | 2019 | 28 | |
| 18 | 2018 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2021 | 24 |
About Wan Liu
Wan Liu is a scholar working on Molecular Biology, Plant Science, Immunology, Materials Chemistry and Cognitive Neuroscience, having authored 123 papers that have together received 1.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Microbial Natural Products and Biosynthesis (6 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Immune cells in cancer (5 papers), Transcranial Magnetic Stimulation Studies (4 papers), Advanced Photocatalysis Techniques (4 papers) and Plant Stress Responses and Tolerance (4 papers). The work is most often cited by research in Sensory Systems (43 citations), Biomaterials (99 citations), Pollution (86 citations), Molecular Medicine (35 citations) and Immunology (147 citations). Wan Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daidi Fan, Xiaoyan Zheng, Junfeng Hui, Peidong Tai, Fengwei Huo, Ruijie Xie, Jingyu Zhu, Jiansheng Wu, Haile Ma and Mingjiang Xie. Their work appears in journals such as Nano Research, Environmental Science and Pollution Research, Frontiers in Neuroscience, Journal of Drug Delivery Science and Technology and Water.
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.