Yanzhen Nie
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Circular RNAs in diseases 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Tao Sun (6 shared papers)Xiaosu Li (2 shared papers)Fang Liu (2 shared papers)Yan You (2 shared papers)Tong Ma (2 shared papers)Zhengang Yang (2 shared papers)Bin Wei (2 shared papers)Huan-Bing Lin (1 shared paper)
- Journals
- Cell Death and Disease (1 paper)Epigenetics (1 paper)Neurobiology of Stress (1 paper)Journal of Neuroscience (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yanzhen Nie
9 papers receiving 301 citations
Peers
Comparison fields: 5 of 60
- Developmental Neuroscience 109
- Cancer Research 86
- Neurology 48
- Behavioral Neuroscience 12
- Cellular and Molecular Neuroscience 61
Countries citing papers authored by Yanzhen Nie
This map shows the geographic impact of Yanzhen Nie'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 Yanzhen Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanzhen Nie more than expected).
Fields of papers citing papers by Yanzhen Nie
This network shows the impact of papers produced by Yanzhen Nie. 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 Yanzhen Nie. The network helps show where Yanzhen Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanzhen Nie, 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 | 2009 | 92 | |
| 2 | 2018 | 69 | |
| 3 | 2021 | 29 | |
| 4 | 2014 | 25 | |
| 5 | 2016 | 25 | |
| 6 | 2011 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 7 | |
| 10 | 2026 | 0 |
About Yanzhen Nie
Yanzhen Nie is a scholar working on Molecular Biology, Cancer Research, Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 304 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Circular RNAs in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Developmental Neuroscience (109 citations), Cancer Research (86 citations), Neurology (48 citations), Behavioral Neuroscience (12 citations) and Cellular and Molecular Neuroscience (61 citations). Yanzhen Nie has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Tao Sun, Xiaosu Li, Fang Liu, Yan You, Tong Ma, Zhengang Yang, Bin Wei, Huan-Bing Lin, Seung‐Nam Kim and Tiejun Li. Their work appears in journals such as Cell Death and Disease, Epigenetics, Neurobiology of Stress, Journal of Neuroscience and Molecular Neurobiology.
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.