Xiangqun Chen
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Immunology and Allergy top 1%
- Oncology top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Louis LimEdward ManserThomas LeungTsui-Han LooIvan TanZhou-shen ZhaoJingming DongLydia Tan
- Topics
- Protein Kinase Regulation and GTPase Signaling (6 papers)Microtubule and mitosis dynamics (6 papers)Cellular Mechanics and Interactions (3 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Xiangqun Chen
13 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.0k
- Cell Biology 1.3k
- Immunology and Allergy 384
- Oncology 370
- Cellular and Molecular Neuroscience 284
Countries citing papers authored by Xiangqun Chen
This map shows the geographic impact of Xiangqun 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 Xiangqun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangqun Chen more than expected).
Fields of papers citing papers by Xiangqun Chen
This network shows the impact of papers produced by Xiangqun 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 Xiangqun Chen. The network helps show where Xiangqun Chen may publish in the future.
Co-authorship network of co-authors of Xiangqun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangqun Chen. A scholar is included among the top collaborators of Xiangqun 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 Xiangqun Chen. Xiangqun 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 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | A total solid-phase synthesis of DILP8. | 1 |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 74 | |
| 9 | 232 | |
| 10 | 284 | |
| 11 | PAK Kinases Are Directly Coupled to the PIX Family of Nucleotide Exchange Factorsbreakdown → | 638 |
| 12 | 122 | |
| 13 | Expression of Constitutively Active α-PAK Reveals Effects of the Kinase on Actin and Focal Complexesbreakdown → | 508 |
| 14 | The p160 RhoA-Binding Kinase ROKα Is a Member of a Kinase Family and Is Involved in the Reorganization of the Cytoskeletonbreakdown → | 769 |
About Xiangqun Chen
Xiangqun Chen is a scholar working on Cell Biology, Information Systems and Management and Developmental Neuroscience, having authored 14 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Microtubule and mitosis dynamics (6 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Cell Biology (1.3k citations), Immunology and Allergy (384 citations) and Molecular Biology (2.0k citations). Xiangqun Chen has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Louis Lim, Edward Manser, Thomas Leung, Thomas Leung, Tsui-Han Loo, Ivan Tan, Zhou-shen Zhao, Jingming Dong, Lydia Tan and Cheng-Gee Koh. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell and Molecular and Cellular Biology.
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.