Guifen Chen
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Neil BurgessJohn A. KingFrancesca CacucciYi LüJohn O’KeefeJoe Z. TsienLongnian LinDaniel K. Manson
- Topics
- Memory and Neural Mechanisms (15 papers)Neuroscience and Neuropharmacology Research (14 papers)Neural dynamics and brain function (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Guifen Chen
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Cognitive Neuroscience 590
- Cellular and Molecular Neuroscience 432
- Molecular Biology 158
- Electrical and Electronic Engineering 135
- Materials Chemistry 119
Countries citing papers authored by Guifen Chen
This map shows the geographic impact of Guifen 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 Guifen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guifen Chen more than expected).
Fields of papers citing papers by Guifen Chen
This network shows the impact of papers produced by Guifen 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 Guifen Chen. The network helps show where Guifen Chen may publish in the future.
Co-authorship network of co-authors of Guifen Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Guifen Chen. A scholar is included among the top collaborators of Guifen 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 Guifen Chen. Guifen 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 | Differential influences of environment and self-motion on place and grid cell firingbreakdown → | 517 |
| 3 | 45 | |
| 4 | 7 | |
| 5 | 78 | |
| 6 | 7 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 20 | |
| 11 | How vision and movement combine in the hippocampal place codebreakdown → | 235 |
| 12 | 14 | |
| 13 | 46 | |
| 14 | 50 | |
| 15 | 78 | |
| 16 | 8 |
About Guifen Chen
Guifen Chen is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (590 citations), Cellular and Molecular Neuroscience (432 citations) and Sensory Systems (89 citations). Guifen Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Neil Burgess, John A. King, Francesca Cacucci, Yi Lü, John O’Keefe, Joe Z. Tsien, Longnian Lin, Daniel K. Manson, Thomas J. Wills and Hui Kuang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.