Pingyu Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- MicroRNA in disease regulation 30
- Cancer-related molecular mechanisms research 19
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- Circular RNAs in diseases 15
- RNA Interference and Gene Delivery 8
- RNA modifications and cancer 8
- RNA Research and Splicing 7
- Co-authors
- Shuyang Xie (66 shared papers)Youjie Li (46 shared papers)Can Martin Zhang (6 shared papers)Gao Zong-hua (3 shared papers)Zhen Yue (7 shared papers)Ning Xie (16 shared papers)Ranran Wang (18 shared papers)Yunfei Yan (11 shared papers)
- Journals
- Oncology Reports (5 papers)Journal of Biomedical Nanotechnology (3 papers)International Journal of Nanomedicine (3 papers)Oncotarget (3 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Pingyu Wang
82 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 649
- Biological Psychiatry 30
- Molecular Biology 877
- Behavioral Neuroscience 34
- Developmental Neuroscience 35
Countries citing papers authored by Pingyu Wang
This map shows the geographic impact of Pingyu Wang'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 Pingyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingyu Wang more than expected).
Fields of papers citing papers by Pingyu Wang
This network shows the impact of papers produced by Pingyu Wang. 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 Pingyu Wang. The network helps show where Pingyu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingyu Wang, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 269 | |
| 2 | 2013 | 173 | |
| 3 | 2013 | 72 | |
| 4 | 2022 | 68 | |
| 5 | 2017 | 57 | |
| 6 | 2019 | 57 | |
| 7 | 2021 | 53 | |
| 8 | 2021 | 47 | |
| 9 | 2010 | 46 | |
| 10 | 2019 | 43 | |
| 11 | 2011 | 41 | |
| 12 | 2013 | 38 | |
| 13 | 2021 | 37 | |
| 14 | 2013 | 37 | |
| 15 | 2014 | 36 | |
| 16 | 2015 | 35 | |
| 17 | 2012 | 35 | |
| 18 | 2016 | 33 | |
| 19 | 2013 | 33 | |
| 20 | 2013 | 33 |
About Pingyu Wang
Pingyu Wang is a scholar working on Cancer Research, Molecular Biology, Complementary and alternative medicine, Biomaterials and Biomedical Engineering, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (30 papers), Cancer-related molecular mechanisms research (19 papers), Circular RNAs in diseases (15 papers), Nanoplatforms for cancer theranostics (10 papers), RNA Interference and Gene Delivery (8 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (7 papers) and Nanoparticle-Based Drug Delivery (4 papers). The work is most often cited by research in Cancer Research (649 citations), Biological Psychiatry (30 citations), Molecular Biology (877 citations), Behavioral Neuroscience (34 citations) and Developmental Neuroscience (35 citations). Pingyu Wang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Shuyang Xie, Youjie Li, Can Martin Zhang, Gao Zong-hua, Zhen Yue, Ning Xie, Ranran Wang, Yunfei Yan, Shuai Zhang and Yanxia Zhang. Their work appears in journals such as Oncology Reports, Journal of Biomedical Nanotechnology, International Journal of Nanomedicine, Oncotarget and Molecules.
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.