Zui Shen
Impact in
-
- Acupuncture Treatment Research Studies
- Complementary and Alternative Medicine Studies
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
- Physiology 25
- Pain Mechanisms and Treatments 24
-
- Acupuncture Treatment Research Studies 22
- Co-authors
- Xiaomei Shao (25 shared papers)Jianqiao Fang (16 shared papers)Yuanyuan Wu (8 shared papers)Xiaofen He (18 shared papers)Junying Du (7 shared papers)Jing Sun (6 shared papers)Fang Fang (4 shared papers)Yongliang Jiang (7 shared papers)
- Journals
- Molecular Neurobiology (4 papers)Neural Plasticity (4 papers)Molecular Brain (2 papers)CNS Neuroscience & Therapeutics (2 papers)Journal of Pain Research (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Zui Shen
30 papers receiving 419 citations
Peers
Comparison fields: 5 of 65
- Complementary and alternative medicine 199
- Behavioral Neuroscience 44
- Physiology 235
- Cognitive Neuroscience 144
- Cellular and Molecular Neuroscience 98
Countries citing papers authored by Zui Shen
This map shows the geographic impact of Zui Shen'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 Zui Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zui Shen more than expected).
Fields of papers citing papers by Zui Shen
This network shows the impact of papers produced by Zui Shen. 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 Zui Shen. The network helps show where Zui Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Zui Shen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 40 | |
| 2 | 2021 | 35 | |
| 3 | 2016 | 35 | |
| 4 | 2017 | 31 | |
| 5 | 2015 | 28 | |
| 6 | 2020 | 27 | |
| 7 | 2017 | 26 | |
| 8 | 2019 | 26 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 20 | |
| 12 | 2015 | 18 | |
| 13 | 2023 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2024 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 3 |
About Zui Shen
Zui Shen is a scholar working on Physiology, Complementary and alternative medicine, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 31 papers that have together received 420 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (24 papers), Acupuncture Treatment Research Studies (22 papers), Pain Management and Placebo Effect (15 papers), Stress Responses and Cortisol (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Healthcare and Venom Research (2 papers), Vagus Nerve Stimulation Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Complementary and alternative medicine (199 citations), Behavioral Neuroscience (44 citations), Physiology (235 citations), Cognitive Neuroscience (144 citations) and Cellular and Molecular Neuroscience (98 citations). Zui Shen has collaborated with scholars based in China and United States. Frequent co-authors include Xiaomei Shao, Jianqiao Fang, Yuanyuan Wu, Xiaofen He, Junying Du, Jing Sun, Fang Fang, Yongliang Jiang, Boyi Liu and Junfan Fang. Their work appears in journals such as Molecular Neurobiology, Neural Plasticity, Molecular Brain, CNS Neuroscience & Therapeutics and Journal of Pain Research.
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.