Guiying Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- Congenital heart defects research
Papers in
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- Circular RNAs in diseases 4
- RNA Research and Splicing 4
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
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- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 6
- Co-authors
- Xudong Guo (7 shared papers)Chenqi Lu (4 shared papers)Jiuhong Kang (6 shared papers)Zeyidan Jiapaer (5 shared papers)Yanxin Xu (3 shared papers)Wenwen Jia (4 shared papers)Yukang Wu (3 shared papers)Jiajie Xi (4 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)Stem Cells (2 papers)Frontiers in Genetics (2 papers)Life (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- China
In The Last Decade
Guiying Wang
24 papers receiving 330 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 158
- Molecular Biology 215
- Biophysics 17
- Genetics 42
- Aging 2
Countries citing papers authored by Guiying Wang
This map shows the geographic impact of Guiying 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 Guiying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guiying Wang more than expected).
Fields of papers citing papers by Guiying Wang
This network shows the impact of papers produced by Guiying 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 Guiying Wang. The network helps show where Guiying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guiying 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 75 | |
| 2 | 2017 | 34 | |
| 3 | 2017 | 33 | |
| 4 | 2011 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2021 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2021 | 17 | |
| 9 | 1997 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2017 | 11 | |
| 12 | 2018 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2003 | 7 | |
| 15 | 2004 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Guiying Wang
Guiying Wang is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Biomedical Engineering, having authored 25 papers that have together received 333 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Optical Coherence Tomography Applications (3 papers), RNA modifications and cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (158 citations), Molecular Biology (215 citations), Biophysics (17 citations), Genetics (42 citations) and Aging (2 citations). Guiying Wang has collaborated with scholars based in China. Frequent co-authors include Xudong Guo, Chenqi Lu, Jiuhong Kang, Zeyidan Jiapaer, Yanxin Xu, Wenwen Jia, Yukang Wu, Jiajie Xi, Songcheng Zhu and Zhiming Dong. Their work appears in journals such as Frontiers in Plant Science, Stem Cells, Frontiers in Genetics, Life and Molecular Carcinogenesis.
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.