Yi‐Lan Weng
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
Papers in
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- RNA modifications and cancer 5
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 3
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- Nerve injury and regeneration 4
- Co-authors
- Guo‐li Ming (8 shared papers)Hongjun Song (6 shared papers)Yingjie Shen (1 shared paper)Shuxin Li (1 shared paper)Soheila Karimi‐Abdolrezaee (1 shared paper)Amanda Tran (1 shared paper)Benjamin P. Brown (1 shared paper)Jared M. Cregg (1 shared paper)
- Journals
- Neuron (2 papers)Molecular Cell (1 paper)iScience (1 paper)Cell Reports (1 paper)Neurotherapeutics (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Yi‐Lan Weng
18 papers receiving 941 citations
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 218
- Cellular and Molecular Neuroscience 385
- Pathology and Forensic Medicine 180
- Neurology 72
- Molecular Biology 516
Countries citing papers authored by Yi‐Lan Weng
This map shows the geographic impact of Yi‐Lan Weng'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 Yi‐Lan Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Lan Weng more than expected).
Fields of papers citing papers by Yi‐Lan Weng
This network shows the impact of papers produced by Yi‐Lan Weng. 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 Yi‐Lan Weng. The network helps show where Yi‐Lan Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Lan Weng, 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 | 2014 | 356 | |
| 2 | 2015 | 143 | |
| 3 | 2017 | 119 | |
| 4 | 2019 | 116 | |
| 5 | 2013 | 38 | |
| 6 | 2020 | 37 | |
| 7 | 2011 | 32 | |
| 8 | 2016 | 27 | |
| 9 | 2022 | 17 | |
| 10 | 2010 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2007 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 2 |
About Yi‐Lan Weng
Yi‐Lan Weng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Developmental Neuroscience and Cancer Research, having authored 18 papers that have together received 947 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Developmental Neuroscience (218 citations), Cellular and Molecular Neuroscience (385 citations), Pathology and Forensic Medicine (180 citations), Neurology (72 citations) and Molecular Biology (516 citations). Yi‐Lan Weng has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Guo‐li Ming, Hongjun Song, Yingjie Shen, Shuxin Li, Soheila Karimi‐Abdolrezaee, Amanda Tran, Benjamin P. Brown, Jared M. Cregg, Marc A. DePaul and Kui Xu. Their work appears in journals such as Neuron, Molecular Cell, iScience, Cell Reports and Neurotherapeutics.
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.