Yuanyi Feng
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 8
- Cell Biology top 1%
- Microtubule and mitosis dynamics 10
- Cellular transport and secretion 3
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- Neurobiology and Insect Physiology Research 2
- Genetic Neurodegenerative Diseases 2
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 3
- Genetics top 5%
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- Chromosomal and Genetic Variations 3
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- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Christopher A. WalshSamuel F. BerkovicBetsy HirschEdward D. LampertiJeremy W. FoxIngrid E. SchefferYaman Z. EkşioğluRodney A. Radtke
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Neuron (4 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Yuanyi Feng
34 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Developmental Neuroscience 449
- Cell Biology 1.2k
- Cellular and Molecular Neuroscience 525
- Molecular Biology 1.8k
- Genetics 634
Countries citing papers authored by Yuanyi Feng
This map shows the geographic impact of Yuanyi Feng'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 Yuanyi Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanyi Feng more than expected).
Fields of papers citing papers by Yuanyi Feng
This network shows the impact of papers produced by Yuanyi Feng. 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 Yuanyi Feng. The network helps show where Yuanyi Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuanyi Feng, 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 | 2024 | 1 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2017 | 21 | |
| 8 | 2016 | 26 | |
| 9 | 2016 | 22 | |
| 10 | 2013 | 26 | |
| 11 | 2011 | 2 | |
| 12 | 2011 | 32 | |
| 13 | 2011 | 151 | |
| 14 | 2004 | 407 | |
| 15 | 2003 | 108 | |
| 16 | 2000 | 239 | |
| 17 | 1998 | 97 | |
| 18 | Mutations in filamin 1 Prevent Migration of Cerebral Cortical Neurons in Human Periventricular Heterotopiabreakdown → | 1998 | 625 |
| 19 | 1997 | 12 | |
| 20 | 1994 | 58 |
About Yuanyi Feng
Yuanyi Feng is a scholar working on Developmental Neuroscience, Cell Biology and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 3.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Genomics and Chromatin Dynamics (3 papers), Cellular transport and secretion (3 papers), Chromosomal and Genetic Variations (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Developmental Neuroscience (449 citations), Cell Biology (1.2k citations) and Cellular and Molecular Neuroscience (525 citations). Yuanyi Feng has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Christopher A. Walsh, Christopher A. Walsh, Samuel F. Berkovic, Betsy Hirsch, Edward D. Lamperti, Jeremy W. Fox, Ingrid E. Scheffer, Yaman Z. Ekşioğlu, Rodney A. Radtke and Peter R. Huttenlocher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.