Pinghua Yang
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 7
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- Circular RNAs in diseases 7
- Co-authors
- Wanzhi Wei (7 shared papers)Feng Shen (16 shared papers)Zhangjun Cheng (16 shared papers)Baohua Zhang (14 shared papers)Daimin Xiang (6 shared papers)Anfeng Si (15 shared papers)Yong Xia (10 shared papers)Jun Li (7 shared papers)
In The Last Decade
Pinghua Yang
64 papers receiving 1.8k citations
Pinghua Yang's Hit Papers
Peers
Comparison fields: 5 of 97
- Hepatology 391
- Cancer Research 463
- Electrochemistry 137
- Bioengineering 87
- Molecular Biology 638
Countries citing papers authored by Pinghua Yang
This map shows the geographic impact of Pinghua 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 Pinghua Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinghua Yang more than expected).
Fields of papers citing papers by Pinghua Yang
This network shows the impact of papers produced by Pinghua 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 Pinghua Yang. The network helps show where Pinghua Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pinghua 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | N6-Methyladenosine–Mediated Up-Regulation of FZD10 Regulates Liver Cancer Stem Cells’ Properties and Lenvatinib Resistance Through WNT/β-Catenin and Hippo Signaling Pathways Hit paper breakdown → | 2023 | 201 |
| 2 | 2019 | 179 | |
| 3 | 2014 | 135 | |
| 4 | 2018 | 73 | |
| 5 | 2019 | 62 | |
| 6 | 2021 | 62 | |
| 7 | 2015 | 60 | |
| 8 | 2007 | 59 | |
| 9 | 2017 | 52 | |
| 10 | 2005 | 43 | |
| 11 | 2016 | 42 | |
| 12 | 2017 | 40 | |
| 13 | 2018 | 38 | |
| 14 | 2019 | 37 | |
| 15 | 2006 | 34 | |
| 16 | 2006 | 33 | |
| 17 | 2007 | 32 | |
| 18 | 2022 | 31 | |
| 19 | 2014 | 31 | |
| 20 | 2023 | 29 |
About Pinghua Yang
Pinghua Yang is a scholar working on Cancer Research, Molecular Biology, Hepatology, Surgery and Electrical and Electronic Engineering, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (7 papers), Electrochemical Analysis and Applications (6 papers), Electrochemical sensors and biosensors (6 papers) and Analytical Chemistry and Sensors (4 papers). The work is most often cited by research in Hepatology (391 citations), Cancer Research (463 citations), Electrochemistry (137 citations), Bioengineering (87 citations) and Molecular Biology (638 citations). Pinghua Yang has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Wanzhi Wei, Feng Shen, Zhangjun Cheng, Baohua Zhang, Daimin Xiang, Anfeng Si, Yong Xia, Jun Li, Jiahua Zhou and Kui Wang. Their work appears in journals such as Gene, HPB, Oncotarget, Microchimica Acta and Frontiers in Oncology.
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.