Zhenhua Shao
-
- Neuropeptides and Animal Physiology 7
- Neuroscience and Neuropharmacology Research 7
- Neurotransmitter Receptor Influence on Behavior 3
- Pharmacology top 2%
- Cannabis and Cannabinoid Research 5
- Endocrine and Autonomic Systems top 10%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 20
- Lipid Membrane Structure and Behavior 3
- Pharmacological Receptor Mechanisms and Effects 2
-
- Cellular transport and secretion 3
- Co-authors
- Daniel M. RosenbaumJie YinKaren ChapmanLindsay ClarkJunmei WangMagdalena GrzemskaWei YanChao Wu
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Zhenhua Shao
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Cellular and Molecular Neuroscience 447
- Pharmacology 369
- Endocrine and Autonomic Systems 82
- Molecular Biology 766
- Cancer Research 112
Countries citing papers authored by Zhenhua Shao
This map shows the geographic impact of Zhenhua Shao'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 Zhenhua Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenhua Shao more than expected).
Fields of papers citing papers by Zhenhua Shao
This network shows the impact of papers produced by Zhenhua Shao. 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 Zhenhua Shao. The network helps show where Zhenhua Shao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenhua Shao, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 10 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 42 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 29 | |
| 14 | 2022 | 67 | |
| 15 | 2022 | 38 | |
| 16 | 2022 | 35 | |
| 17 | 2022 | 41 | |
| 18 | 2021 | 51 | |
| 19 | 2020 | 31 | |
| 20 | 2019 | 135 |
About Zhenhua Shao
Zhenhua Shao is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Cannabis and Cannabinoid Research (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Lipid Membrane Structure and Behavior (3 papers), Cellular transport and secretion (3 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (447 citations), Pharmacology (369 citations) and Endocrine and Autonomic Systems (82 citations). Zhenhua Shao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Daniel M. Rosenbaum, Jie Yin, Karen Chapman, Lindsay Clark, Junmei Wang, Magdalena Grzemska, Wei Yan, Chao Wu, Shengyong Yang and Xuehui Wang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.