Yaming Yang
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
Papers in
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- Pluripotent Stem Cells Research 2
- Protein Degradation and Inhibitors 1
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- Neurogenesis and neuroplasticity mechanisms 5
- Co-authors
- Zhifeng Xiao (6 shared papers)Yongheng Fan (6 shared papers)Yannan Zhao (6 shared papers)Jianwu Dai (6 shared papers)Xiaoyu Xue (4 shared papers)Bing Chen (3 shared papers)Muya Shu (3 shared papers)Xianming Wu (4 shared papers)
- Journals
- Science China Life Sciences (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Cell Reports (1 paper)EMBO Reports (1 paper)Aging (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Yaming Yang
12 papers receiving 293 citations
Peers
Comparison fields: 5 of 63
- Developmental Neuroscience 74
- Cellular and Molecular Neuroscience 120
- Pathology and Forensic Medicine 91
- Genetics 32
- Neurology 24
Countries citing papers authored by Yaming Yang
This map shows the geographic impact of Yaming 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 Yaming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaming Yang more than expected).
Fields of papers citing papers by Yaming Yang
This network shows the impact of papers produced by Yaming 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 Yaming Yang. The network helps show where Yaming Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaming 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 | 2020 | 121 | |
| 2 | 2019 | 56 | |
| 3 | 2021 | 35 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 22 | |
| 6 | 1985 | 11 | |
| 7 | 2020 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2014 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 |
About Yaming Yang
Yaming Yang is a scholar working on Molecular Biology, Developmental Neuroscience, Artificial Intelligence, Genetics and Pathology and Forensic Medicine, having authored 14 papers that have together received 294 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Pluripotent Stem Cells Research (2 papers), Advanced Graph Neural Networks (2 papers), Nerve injury and regeneration (2 papers), Spinal Cord Injury Research (2 papers), Time Series Analysis and Forecasting (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Developmental Neuroscience (74 citations), Cellular and Molecular Neuroscience (120 citations), Pathology and Forensic Medicine (91 citations), Genetics (32 citations) and Neurology (24 citations). Yaming Yang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhifeng Xiao, Yongheng Fan, Yannan Zhao, Jianwu Dai, Xiaoyu Xue, Bing Chen, Muya Shu, Xianming Wu, Haipeng Zhang and Wenbin Liu. Their work appears in journals such as Science China Life Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence, Cell Reports, EMBO Reports and Aging.
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.