Fengyi Liang
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Neurology top 2%
- Neurology top 5%
- Co-authors
- Eric M. RouillerVéronique MoretM. WiesendangerTsutomu HashikawaEdward G. JonesTetsuo YamamoriAlexander BabalianYumiko Hatanaka
- Topics
- Neuroscience and Neuropharmacology Research (17 papers)Cellular transport and secretion (7 papers)Nerve injury and regeneration (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- SingaporeUnited StatesSwitzerland
In The Last Decade
Fengyi Liang
46 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 923
- Molecular Biology 603
- Cognitive Neuroscience 469
- Neurology 420
- Neurology 298
Countries citing papers authored by Fengyi Liang
This map shows the geographic impact of Fengyi Liang'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 Fengyi Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengyi Liang more than expected).
Fields of papers citing papers by Fengyi Liang
This network shows the impact of papers produced by Fengyi Liang. 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 Fengyi Liang. The network helps show where Fengyi Liang may publish in the future.
Co-authorship network of co-authors of Fengyi Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Fengyi Liang. A scholar is included among the top collaborators of Fengyi Liang 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 Fengyi Liang. Fengyi Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 39 | |
| 4 | 24 | |
| 5 | 20 | |
| 6 | 37 | |
| 7 | 86 | |
| 8 | 8 | |
| 9 | 212 | |
| 10 | 27 | |
| 11 | 12 | |
| 12 | 24 | |
| 13 | 16 | |
| 14 | 13 | |
| 15 | 163 | |
| 16 | 33 | |
| 17 | 147 | |
| 18 | 41 | |
| 19 | 72 | |
| 20 | 25 |
About Fengyi Liang
Fengyi Liang is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Cellular transport and secretion (7 papers) and Nerve injury and regeneration (7 papers). The work is most often cited by research in Neurology (420 citations), Cellular and Molecular Neuroscience (923 citations) and Developmental Neuroscience (205 citations). Fengyi Liang has collaborated with scholars based in Singapore, United States and Switzerland. Frequent co-authors include Eric M. Rouiller, Véronique Moret, M. Wiesendanger, Tsutomu Hashikawa, Edward G. Jones, Tetsuo Yamamori, Alexander Babalian, Yumiko Hatanaka, Harumi Saito and X. Steven Wan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.