Xiaowei Guan
- Physiology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Cancer Research
- Pharmacology top 10%
- Co-authors
- Yuan‐Xiang TaoYun GuanVinod TiwariJian‐Yuan ZhaoWei WangHongkang ZhangPaul N. HoffmanXinzhong Dong
- Topics
- Neuroscience and Neuropharmacology Research (20 papers)Neurotransmitter Receptor Influence on Behavior (16 papers)Tryptophan and brain disorders (11 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaowei Guan
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Physiology 572
- Molecular Biology 528
- Cellular and Molecular Neuroscience 492
- Cancer Research 156
- Pharmacology 95
Countries citing papers authored by Xiaowei Guan
This map shows the geographic impact of Xiaowei Guan'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 Xiaowei Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Guan more than expected).
Fields of papers citing papers by Xiaowei Guan
This network shows the impact of papers produced by Xiaowei Guan. 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 Xiaowei Guan. The network helps show where Xiaowei Guan may publish in the future.
Co-authorship network of co-authors of Xiaowei Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Guan. A scholar is included among the top collaborators of Xiaowei Guan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaowei Guan. Xiaowei Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 34 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | Translation of Chinese Internet Catchword from the Perspective of Eco-Translatology | 0 |
| 16 | 11 | |
| 17 | Prototype Account of Tense-Aspect Morphology Acquisition—A Review and Its Prospect | 1 |
| 18 | The Formalization of English Structures with Preposition "in" and Their Chinese Translations | 1 |
| 19 | 142 | |
| 20 | 10 |
About Xiaowei Guan
Xiaowei Guan is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Tryptophan and brain disorders (11 papers). The work is most often cited by research in Biological Psychiatry (84 citations), Cellular and Molecular Neuroscience (492 citations) and Behavioral Neuroscience (92 citations). Xiaowei Guan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yuan‐Xiang Tao, Yun Guan, Vinod Tiwari, Jian‐Yuan Zhao, Wei Wang, Hongkang Zhang, Paul N. Hoffman, Xinzhong Dong, Zongxiang Tang and Min Li. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and The FASEB Journal.
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.