Pengyuan Yang
- Molecular Biology top 2%
- Cancer Research top 1%
- Immunology top 2%
- Oncology top 5%
- Epidemiology top 5%
- Co-authors
- Yao‐Cheng RuiYun ZhangGeoffrey J. MarkowitzFei LanYang ShiYujiang Geno ShiDong XieQi-Jing Li
- Topics
- Hepatitis B Virus Studies (14 papers)Advanced Proteomics Techniques and Applications (12 papers)RNA modifications and cancer (12 papers)
- 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
- Molecular Biology 3.4k
- Cancer Research 1.7k
- Immunology 1.0k
- Oncology 816
- Epidemiology 525
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 of co-authors of Pengyuan Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Pengyuan Yang. A scholar is included among the top collaborators of Pengyuan Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengyuan Yang. Pengyuan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 30 | |
| 3 | 5 | |
| 4 | 56 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 69 | |
| 8 | MicroRNA-28-5p regulates glioma cell proliferation, invasion and migration by targeting SphK1 | 3 |
| 9 | 8 | |
| 10 | 76 | |
| 11 | Zc3h13 Regulates Nuclear RNA m6A Methylation and Mouse Embryonic Stem Cell Self-Renewalbreakdown → | 707 |
| 12 | 42 | |
| 13 | 29 | |
| 14 | 33 | |
| 15 | 12 | |
| 16 | 34 | |
| 17 | 17 | |
| 18 | 18 | |
| 19 | Antisense oligodeoxynucleotide inhibits vascular endothelial growth factor expression in U937 foam cells. | 9 |
| 20 | [Expression of vascular endothelial growth factor in U937 foam cells and the inhibitory effect of drugs]. | 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) and RNA modifications and cancer (12 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.