Shi Wang
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Circular RNAs in diseases
Papers in
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- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 3
- Oncology 7
- Peptidase Inhibition and Analysis 5
- Co-authors
- Chengjun Wu (3 shared papers)Jun Wang (2 shared papers)Yong Qin (1 shared paper)Kaikun Luo (2 shared papers)Ting Zhang (1 shared paper)Ke Tian (1 shared paper)Yong Qin (3 shared papers)Xinmei Wang (1 shared paper)
In The Last Decade
Shi Wang
27 papers receiving 315 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 106
- Molecular Biology 192
- Aquatic Science 19
- Immunology 49
- Radiation 20
Countries citing papers authored by Shi Wang
This map shows the geographic impact of Shi 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 Shi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Wang more than expected).
Fields of papers citing papers by Shi Wang
This network shows the impact of papers produced by Shi 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 Shi Wang. The network helps show where Shi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | A potential role for the Hippo pathway protein, YAP, in controlling proliferation, cell cycle progression, and autophagy in BCPAP and KI thyroid papillary carcinoma cells. | 2017 | 35 |
| 3 | 2022 | 25 | |
| 4 | 2021 | 23 | |
| 5 | 2010 | 22 | |
| 6 | 2019 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2015 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2016 | 6 | |
| 16 | 2008 | 5 | |
| 17 | 2014 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2004 | 3 | |
| 20 | 2023 | 2 |
About Shi Wang
Shi Wang is a scholar working on Molecular Biology, Oncology, Radiation, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 29 papers that have together received 317 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Radiation Detection and Scintillator Technologies (6 papers), Peptidase Inhibition and Analysis (5 papers), RNA modifications and cancer (4 papers), Nuclear Physics and Applications (3 papers), Ubiquitin and proteasome pathways (3 papers), MicroRNA in disease regulation (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Cancer Research (106 citations), Molecular Biology (192 citations), Aquatic Science (19 citations), Immunology (49 citations) and Radiation (20 citations). Shi Wang has collaborated with scholars based in China, Italy and Brazil. Frequent co-authors include Chengjun Wu, Jun Wang, Yong Qin, Kaikun Luo, Ting Zhang, Ke Tian, Yong Qin, Xinmei Wang, Chuanyan Yang and Jinyan Jiang. Their work appears in journals such as Biotechnology and Applied Biochemistry, Frontiers in Veterinary Science, Cell Biology International, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology and Journal of Cellular Physiology.
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.