Pengyuan Yang
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 7
- Molecular Biology top 2%
- RNA modifications and cancer 12
- Epigenetics and DNA Methylation 10
- Metabolomics and Mass Spectrometry Studies 7
- Cancer-related gene regulation 7
- Immunology top 2%
- Hepatology top 2%
- Oncology top 5%
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- Hepatitis B Virus Studies 14
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- Advanced Proteomics Techniques and Applications 12
- Co-authors
- Yao‐Cheng RuiYun ZhangGeoffrey J. MarkowitzFei LanYang ShiYujiang Geno ShiDong XieQi-Jing Li
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pengyuan Yang
111 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 1.7k
- Molecular Biology 3.4k
- Immunology 1.0k
- Hepatology 351
- Oncology 816
Countries citing papers authored by Pengyuan Yang
This map shows the geographic impact of Pengyuan 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 Pengyuan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengyuan Yang more than expected).
Fields of papers citing papers by Pengyuan Yang
This network shows the impact of papers produced by Pengyuan 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 Pengyuan Yang. The network helps show where Pengyuan Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pengyuan 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 | 2025 | 9 | |
| 2 | 2023 | 30 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 56 | |
| 5 | 2021 | 9 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 69 | |
| 8 | MicroRNA-28-5p regulates glioma cell proliferation, invasion and migration by targeting SphK1 | 2020 | 3 |
| 9 | 2020 | 8 | |
| 10 | 2018 | 76 | |
| 11 | Zc3h13 Regulates Nuclear RNA m6A Methylation and Mouse Embryonic Stem Cell Self-Renewalbreakdown → | 2018 | 707 |
| 12 | 2016 | 42 | |
| 13 | 2016 | 29 | |
| 14 | 2011 | 33 | |
| 15 | 2010 | 12 | |
| 16 | 2009 | 34 | |
| 17 | 2007 | 17 | |
| 18 | 2004 | 18 | |
| 19 | Antisense oligodeoxynucleotide inhibits vascular endothelial growth factor expression in U937 foam cells. | 2003 | 9 |
| 20 | [Expression of vascular endothelial growth factor in U937 foam cells and the inhibitory effect of drugs]. | 2002 | 8 |
About Pengyuan Yang
Pengyuan Yang is a scholar working on Hepatology, Cancer Research and Molecular Biology, having authored 113 papers that have together received 5.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (14 papers), Advanced Proteomics Techniques and Applications (12 papers), RNA modifications and cancer (12 papers), Epigenetics and DNA Methylation (10 papers), Cancer-related molecular mechanisms research (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), MicroRNA in disease regulation (7 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (3.4k citations) and Immunology (1.0k citations). Pengyuan Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yao‐Cheng Rui, Yun Zhang, Geoffrey J. Markowitz, Fei Lan, Yang Shi, Yujiang Geno Shi, Dong Xie, Qi-Jing Li, Ruitu Lv and Xiao-Fan Wang. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.
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.