Jiefei Yang
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
-
- Nerve injury and regeneration
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Neurobiology and Insect Physiology Research
Papers in
-
- Nerve injury and regeneration 2
- Neurobiology and Insect Physiology Research 1
-
- Numerical methods for differential equations 1
- Co-authors
- Bertha Dominguez (3 shared papers)Weichun Lin (2 shared papers)Prafulla Aryal (2 shared papers)Kuo-Fen Lee (2 shared papers)Eugene P. Brandon (1 shared paper)Fred H. Gage (1 shared paper)Samir Koirala (1 shared paper)Chien‐Ping Ko (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (1 paper)Neuron (1 paper)Nature Neuroscience (1 paper)SIAM Journal on Financial Mathematics (1 paper)
- Partner nations
- United StatesHong KongFinland
In The Last Decade
Jiefei Yang
7 papers receiving 451 citations
Peers
Comparison fields: 5 of 56
- Developmental Neuroscience 77
- Cellular and Molecular Neuroscience 266
- Cell Biology 82
- Neurology 67
- Molecular Biology 264
Countries citing papers authored by Jiefei Yang
This map shows the geographic impact of Jiefei Yang'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 Jiefei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiefei Yang more than expected).
Fields of papers citing papers by Jiefei Yang
This network shows the impact of papers produced by Jiefei Yang. 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 Jiefei Yang. The network helps show where Jiefei Yang may publish in the future.
Co-authors
The 23 scholars most cited alongside Jiefei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 191 | |
| 2 | 2003 | 107 | |
| 3 | 2001 | 73 | |
| 4 | 2011 | 42 | |
| 5 | 2010 | 41 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 1 |
About Jiefei Yang
Jiefei Yang is a scholar working on Cellular and Molecular Neuroscience, Numerical Analysis, Finance, Developmental Neuroscience and Molecular Biology, having authored 7 papers that have together received 456 indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Stochastic processes and financial applications (2 papers), Nerve injury and regeneration (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Numerical methods for differential equations (1 paper), Distributed and Parallel Computing Systems (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Developmental Neuroscience (77 citations), Cellular and Molecular Neuroscience (266 citations), Cell Biology (82 citations), Neurology (67 citations) and Molecular Biology (264 citations). Jiefei Yang has collaborated with scholars based in United States, Hong Kong and Finland. Frequent co-authors include Bertha Dominguez, Weichun Lin, Prafulla Aryal, Kuo-Fen Lee, Eugene P. Brandon, Fred H. Gage, Samir Koirala, Chien‐Ping Ko, Chi Wai Lee and H. Benjamin Peng. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, Neuron, Nature Neuroscience and SIAM Journal on Financial Mathematics.
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.