Li-Chun Cheng
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 4
- Nuclear Structure and Function 3
- Planarian Biology and Electrostimulation 3
- Ubiquitin and proteasome pathways 2
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- Neurogenesis and neuroplasticity mechanisms 3
- Co-authors
- Fiona Doetsch (3 shared papers)Érika Pastrana (2 shared papers)Masoud Tavazoie (2 shared papers)Alejandro Sánchez Alvarado (3 shared papers)Kimberly C. Tu (2 shared papers)Chris Seidel (2 shared papers)Jeffrey J. Lange (1 shared paper)Sean McKinney (1 shared paper)
- Journals
- Biochemical Engineering Journal (2 papers)BMC Pregnancy and Childbirth (1 paper)Journal of Proteome Research (1 paper)Nature Neuroscience (1 paper)Neuron (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Li-Chun Cheng
15 papers receiving 1.4k citations
Li-Chun Cheng's Hit Papers
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 451
- Cancer Research 609
- Molecular Biology 1.1k
- Neurology 84
- Cellular and Molecular Neuroscience 154
Countries citing papers authored by Li-Chun Cheng
This map shows the geographic impact of Li-Chun Cheng'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 Li-Chun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Chun Cheng more than expected).
Fields of papers citing papers by Li-Chun Cheng
This network shows the impact of papers produced by Li-Chun Cheng. 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 Li-Chun Cheng. The network helps show where Li-Chun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Chun Cheng, 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 | miR-124 regulates adult neurogenesis in the subventricular zone stem cell niche Hit paper breakdown → | 2009 | 810 |
| 2 | 2009 | 307 | |
| 3 | 2005 | 102 | |
| 4 | 2015 | 84 | |
| 5 | 2019 | 36 | |
| 6 | 2017 | 35 | |
| 7 | 2002 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2003 | 14 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2018 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2017 | 1 |
About Li-Chun Cheng
Li-Chun Cheng is a scholar working on Molecular Biology, Developmental Neuroscience, Global and Planetary Change, Cancer Research and Paleontology, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Nuclear Structure and Function (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Marine Ecology and Invasive Species (3 papers), Planarian Biology and Electrostimulation (3 papers), Ubiquitin and proteasome pathways (2 papers) and Marine Invertebrate Physiology and Ecology (2 papers). The work is most often cited by research in Developmental Neuroscience (451 citations), Cancer Research (609 citations), Molecular Biology (1.1k citations), Neurology (84 citations) and Cellular and Molecular Neuroscience (154 citations). Li-Chun Cheng has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Fiona Doetsch, Érika Pastrana, Masoud Tavazoie, Alejandro Sánchez Alvarado, Kimberly C. Tu, Chris Seidel, Jeffrey J. Lange, Sean McKinney, Hanh Thi-Kim Vu and Teh‐Liang Chen. Their work appears in journals such as Biochemical Engineering Journal, BMC Pregnancy and Childbirth, Journal of Proteome Research, Nature Neuroscience 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.