Pengbo Yang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 10%
Papers in
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- RNA Interference and Gene Delivery 3
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- Nuclear Receptors and Signaling 4
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Xia Zhao (3 shared papers)Xinlin Chen (14 shared papers)Shufang Liang (3 shared papers)Xiaoyun Zeng (2 shared papers)Hang‐zi Chen (5 shared papers)Qiao Wu (5 shared papers)Xinyu Liu (1 shared paper)Hongbin Li (1 shared paper)
- Journals
- International Journal of Developmental Neuroscience (2 papers)Neurochemical Research (2 papers)Neurological Research (2 papers)Neuroreport (1 paper)Molecular Cell (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Pengbo Yang
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 329
- Developmental Neuroscience 65
- Neurology 88
- Cellular and Molecular Neuroscience 186
- Biological Psychiatry 20
Countries citing papers authored by Pengbo Yang
This map shows the geographic impact of Pengbo 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 Pengbo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengbo Yang more than expected).
Fields of papers citing papers by Pengbo Yang
This network shows the impact of papers produced by Pengbo 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 Pengbo Yang. The network helps show where Pengbo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pengbo 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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 160 | |
| 2 | 2017 | 117 | |
| 3 | 2020 | 112 | |
| 4 | 2018 | 105 | |
| 5 | 2010 | 75 | |
| 6 | 2016 | 71 | |
| 7 | 2012 | 57 | |
| 8 | 2017 | 44 | |
| 9 | 2013 | 43 | |
| 10 | 2009 | 41 | |
| 11 | 2010 | 39 | |
| 12 | 2020 | 32 | |
| 13 | 2018 | 27 | |
| 14 | 2023 | 26 | |
| 15 | 2021 | 26 | |
| 16 | 2018 | 24 | |
| 17 | 2017 | 22 | |
| 18 | 2019 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2020 | 16 |
About Pengbo Yang
Pengbo Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cancer Research and Neurology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (8 papers), Nuclear Receptors and Signaling (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), MicroRNA in disease regulation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Neuroscience and Neuropharmacology Research (3 papers), RNA Interference and Gene Delivery (3 papers) and Macrophage Migration Inhibitory Factor (3 papers). The work is most often cited by research in Cancer Research (329 citations), Developmental Neuroscience (65 citations), Neurology (88 citations), Cellular and Molecular Neuroscience (186 citations) and Biological Psychiatry (20 citations). Pengbo Yang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xia Zhao, Xinlin Chen, Shufang Liang, Xiaoyun Zeng, Hang‐zi Chen, Qiao Wu, Xinyu Liu, Hongbin Li, Bing Chen and Junfeng Zhang. Their work appears in journals such as International Journal of Developmental Neuroscience, Neurochemical Research, Neurological Research, Neuroreport and Molecular Cell.
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.