Sudong Guan
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Neurology top 10%
- Sensory Systems top 5%
- Co-authors
- Jinhui WangYan ZhuLi HuangQin GaoNa ChenZilong GaoMing GeGuanjun Zhang
- Topics
- Neuroscience and Neuropharmacology Research (13 papers)Neural dynamics and brain function (9 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Sudong Guan
27 papers receiving 437 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 265
- Cognitive Neuroscience 165
- Molecular Biology 119
- Neurology 108
- Sensory Systems 60
Countries citing papers authored by Sudong Guan
This map shows the geographic impact of Sudong 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 Sudong Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudong Guan more than expected).
Fields of papers citing papers by Sudong Guan
This network shows the impact of papers produced by Sudong 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 Sudong Guan. The network helps show where Sudong Guan may publish in the future.
Co-authorship network of co-authors of Sudong Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Sudong Guan. A scholar is included among the top collaborators of Sudong 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 Sudong Guan. Sudong 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 | 14 | |
| 2 | 6 | |
| 3 | 27 | |
| 4 | 22 | |
| 5 | 39 | |
| 6 | [Diaphragm dysfunction and expressions of calcium regulatory proteins in diabetic rats]. | 1 |
| 7 | 38 | |
| 8 | Thoughts on Teachers' Role Switching in PBL Teaching | 0 |
| 9 | 25 | |
| 10 | 19 | |
| 11 | 8 | |
| 12 | 36 | |
| 13 | 46 | |
| 14 | 11 | |
| 15 | 13 | |
| 16 | Setting up the Interest Group of Research and Cultivating the Students' Innovation Ability | 0 |
| 17 | 43 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | An Experimental Study on PBL Combined LBL Applied to Physiology Teaching | 1 |
About Sudong Guan
Sudong Guan is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Neurology, having authored 29 papers that have together received 442 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Neural dynamics and brain function (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (265 citations), Neurology (108 citations) and Sensory Systems (60 citations). Sudong Guan has collaborated with scholars based in China and United States. Frequent co-authors include Jinhui Wang, Yan Zhu, Li Huang, Qin Gao, Na Chen, Zilong Gao, Ming Ge, Guanjun Zhang, Yan Zhu and Xin Gao. Their work appears in journals such as PLoS ONE, Brain Research and Biochemical and Biophysical Research 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.