Ruzhu Chen
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Physiology
- Pharmacology top 10%
- Co-authors
- Xiaonan ZhuXuelan WangWenya WangYifan HanSusan RobinsonChi MaYi YangChunyi Ying
- Topics
- Neuroscience and Neuropharmacology Research (11 papers)Nicotinic Acetylcholine Receptors Study (7 papers)Cell death mechanisms and regulation (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ruzhu Chen
27 papers receiving 722 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 427
- Cellular and Molecular Neuroscience 229
- Neurology 125
- Physiology 95
- Pharmacology 93
Countries citing papers authored by Ruzhu Chen
This map shows the geographic impact of Ruzhu 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 Ruzhu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruzhu Chen more than expected).
Fields of papers citing papers by Ruzhu Chen
This network shows the impact of papers produced by Ruzhu 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 Ruzhu Chen. The network helps show where Ruzhu Chen may publish in the future.
Co-authorship network of co-authors of Ruzhu Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Ruzhu Chen. A scholar is included among the top collaborators of Ruzhu Chen 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 Ruzhu Chen. Ruzhu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 37 | |
| 3 | 19 | |
| 4 | [Generation of Tau/App/PS1 triple-transgenic mouse model and the study of its biological characteristics]. | 1 |
| 5 | 21 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 25 | |
| 9 | 55 | |
| 10 | 137 | |
| 11 | 71 | |
| 12 | 7 | |
| 13 | 21 | |
| 14 | 38 | |
| 15 | Increase of beta1-adrenergic receptor gene expression induced by nicotine in hippocampal slice of rat. | 3 |
| 16 | Different synaptic mechanisms of long-term potentiation induced by nicotine and tetanic stimulation in hippocampal CA1 region of rats. | 10 |
| 17 | 134 | |
| 18 | Benchmark and performance analysis of TurboBLAST on IBM xSeries server cluster | 1 |
| 19 | 7 | |
| 20 | 43 |
About Ruzhu Chen
Ruzhu Chen is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Molecular Biology, having authored 27 papers that have together received 728 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (229 citations), Neurology (125 citations) and Neurology (63 citations). Ruzhu Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaonan Zhu, Xuelan Wang, Wenya Wang, Yifan Han, Susan Robinson, Chi Ma, Yi Yang, Chunyi Ying, Mingtao Li and Yuanbin Chen. Their work appears in journals such as Journal of Biological Chemistry, Life Sciences and European Journal of Pharmacology.
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.