Wei Xiong
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- Neuroscience and Neuropharmacology Research 25
- Neurotransmitter Receptor Influence on Behavior 7
- Biological Psychiatry top 5%
- Pharmacology top 2%
- Cannabis and Cannabinoid Research 14
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 4
- Advanced biosensing and bioanalysis techniques 4
- RNA modifications and cancer 4
- Endocrine and Autonomic Systems top 10%
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- Immune cells in cancer 6
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- Pain Mechanisms and Treatments 5
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (4 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Wei Xiong
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 128
- Cellular and Molecular Neuroscience 613
- Biological Psychiatry 64
- Pharmacology 408
- Molecular Biology 742
- Endocrine and Autonomic Systems 66
Countries citing papers authored by Wei Xiong
This map shows the geographic impact of Wei Xiong'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 Wei Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Xiong more than expected).
Fields of papers citing papers by Wei Xiong
This network shows the impact of papers produced by Wei Xiong. 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 Wei Xiong. The network helps show where Wei Xiong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Xiong, 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 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 49 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 18 | |
| 13 | 2019 | 8 | |
| 14 | 2018 | 23 | |
| 15 | 2013 | 84 | |
| 16 | 2012 | 6 | |
| 17 | 2012 | 1 | |
| 18 | 2007 | 30 | |
| 19 | 2006 | 18 | |
| 20 | [Chemical constituents of anticancer plant Nyssa sinensis Oliv]. | 1991 | 1 |
About Wei Xiong
Wei Xiong is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Pharmacology, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Cannabis and Cannabinoid Research (14 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Immune cells in cancer (6 papers), Pain Mechanisms and Treatments (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (613 citations), Biological Psychiatry (64 citations) and Pharmacology (408 citations). Wei Xiong has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Li Zhang, Kejun Cheng, Yan Xu, Tanxing Cui, Guichang Zou, David M. Lovinger, Hongying Zhu, Chun Zhang, Hui‐Lin Pan and Ziyi Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.