Shipeng Chen
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Hepatitis C virus research
Papers in
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- RNA modifications and cancer 4
- Circular RNAs in diseases 3
- Cancer-related gene regulation 2
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- Hepatitis B Virus Studies 6
- Co-authors
- Hongyu Deng (11 shared papers)Wei Xiong (10 shared papers)Mengna Li (10 shared papers)Annemarie Boerma (2 shared papers)Toos Daemen (2 shared papers)César Oyarce (2 shared papers)Faqing Tang (7 shared papers)Guiyuan Li (6 shared papers)
- Journals
- International Journal of Biological Macromolecules (2 papers)Frontiers in Immunology (2 papers)Journal of General Virology (2 papers)International Journal of Pharmaceutics (1 paper)ACS Omega (1 paper)
- Partner nations
- ChinaSaudi ArabiaNetherlands
In The Last Decade
Shipeng Chen
28 papers receiving 397 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 96
- Hepatology 42
- Molecular Biology 178
- Epidemiology 79
- Immunology 50
Countries citing papers authored by Shipeng Chen
This map shows the geographic impact of Shipeng Chen'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 Shipeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipeng Chen more than expected).
Fields of papers citing papers by Shipeng Chen
This network shows the impact of papers produced by Shipeng Chen. 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 Shipeng Chen. The network helps show where Shipeng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shipeng Chen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 60 | |
| 2 | 2021 | 51 | |
| 3 | 2019 | 32 | |
| 4 | 2018 | 22 | |
| 5 | 2018 | 21 | |
| 6 | 2020 | 20 | |
| 7 | Deciphering the vital roles and mechanism of m5C modification on RNA in cancers. | 2023 | 19 |
| 8 | 2020 | 18 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2017 | 6 |
About Shipeng Chen
Shipeng Chen is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 31 papers that have together received 401 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (3 papers), Cancer Mechanisms and Therapy (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related gene regulation (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Cancer Research (96 citations), Hepatology (42 citations), Molecular Biology (178 citations), Epidemiology (79 citations) and Immunology (50 citations). Shipeng Chen has collaborated with scholars based in China, Saudi Arabia and Netherlands. Frequent co-authors include Hongyu Deng, Wei Xiong, Mengna Li, Annemarie Boerma, Toos Daemen, César Oyarce, Faqing Tang, Guiyuan Li, Yumei Duan and Luo Yang. Their work appears in journals such as International Journal of Biological Macromolecules, Frontiers in Immunology, Journal of General Virology, International Journal of Pharmaceutics and ACS Omega.
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.