Maozi Chen
Impact in
- Pharmacology top 10%
- Cannabis and Cannabinoid Research
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Receptor Mechanisms and Signaling 6
- Pharmacological Receptor Mechanisms and Effects 2
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- Computational Drug Discovery Methods 11
- Co-authors
- Xiang‐Qun Xie (15 shared papers)Zhiwei Feng (14 shared papers)Cheng Zhang (1 shared paper)X. Edward Zhou (1 shared paper)Xing Meng (1 shared paper)Changrui Xing (1 shared paper)H. Eric Xu (1 shared paper)Lei Wang (1 shared paper)
- Journals
- ACS Chemical Neuroscience (5 papers)Briefings in Bioinformatics (3 papers)ACS Omega (2 papers)Journal of Chemical Information and Modeling (2 papers)Acta Pharmacologica Sinica (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Maozi Chen
17 papers receiving 401 citations
Peers
Comparison fields: 5 of 75
- Pharmacology 106
- Cellular and Molecular Neuroscience 104
- Computational Theory and Mathematics 100
- Toxicology 14
- Aging 6
Countries citing papers authored by Maozi Chen
This map shows the geographic impact of Maozi Chen'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 Maozi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maozi Chen more than expected).
Fields of papers citing papers by Maozi Chen
This network shows the impact of papers produced by Maozi Chen. 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 Maozi Chen. The network helps show where Maozi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Maozi Chen, 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 | 2020 | 180 | |
| 2 | 2019 | 37 | |
| 3 | 2020 | 26 | |
| 4 | 2012 | 24 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2006 | 1 |
About Maozi Chen
Maozi Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Infectious Diseases and Organic Chemistry, having authored 17 papers that have together received 406 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (6 papers), Click Chemistry and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Pharmacology (106 citations), Cellular and Molecular Neuroscience (104 citations), Computational Theory and Mathematics (100 citations), Toxicology (14 citations) and Aging (6 citations). Maozi Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiang‐Qun Xie, Zhiwei Feng, Cheng Zhang, X. Edward Zhou, Xing Meng, Changrui Xing, H. Eric Xu, Lei Wang, Gongpu Zhao and Heng Liu. Their work appears in journals such as ACS Chemical Neuroscience, Briefings in Bioinformatics, ACS Omega, Journal of Chemical Information and Modeling and Acta Pharmacologica Sinica.
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.