Supeng Shen
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 21
- Cancer-related gene regulation 14
- Epigenetics and DNA Methylation 8
- Circular RNAs in diseases 8
- Kruppel-like factors research 2
- TGF-β signaling in diseases 2
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- Cancer-related molecular mechanisms research 21
- MicroRNA in disease regulation 7
- Co-authors
- Yanli Guo (29 shared papers)Wei Guo (28 shared papers)Zhiming Dong (18 shared papers)Jia Liang (22 shared papers)Gang Kuang (12 shared papers)Xin Guo (11 shared papers)Shengnan Liu (7 shared papers)Xiaoliang Liang (7 shared papers)
In The Last Decade
Supeng Shen
30 papers receiving 761 citations
Peers
Comparison fields: 5 of 47
- Cancer Research 547
- Molecular Biology 630
- Surgery 120
- Oncology 70
- Cell Biology 36
Countries citing papers authored by Supeng Shen
This map shows the geographic impact of Supeng Shen'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 Supeng Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supeng Shen more than expected).
Fields of papers citing papers by Supeng Shen
This network shows the impact of papers produced by Supeng Shen. 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 Supeng Shen. The network helps show where Supeng Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Supeng Shen, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 101 | |
| 2 | 2014 | 84 | |
| 3 | 2017 | 50 | |
| 4 | 2019 | 46 | |
| 5 | 2014 | 36 | |
| 6 | 2015 | 31 | |
| 7 | 2019 | 29 | |
| 8 | 2019 | 29 | |
| 9 | 2015 | 27 | |
| 10 | 2018 | 25 | |
| 11 | 2020 | 23 | |
| 12 | 2015 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2016 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2017 | 20 | |
| 17 | 2016 | 20 | |
| 18 | 2014 | 19 | |
| 19 | 2015 | 19 | |
| 20 | 2020 | 18 |
About Supeng Shen
Supeng Shen is a scholar working on Molecular Biology, Cancer Research, Surgery, Cellular and Molecular Neuroscience and Epidemiology, having authored 30 papers that have together received 767 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (21 papers), RNA modifications and cancer (21 papers), Cancer-related gene regulation (14 papers), Epigenetics and DNA Methylation (8 papers), Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (7 papers), Kruppel-like factors research (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (547 citations), Molecular Biology (630 citations), Surgery (120 citations), Oncology (70 citations) and Cell Biology (36 citations). Supeng Shen has collaborated with scholars based in China and Japan. Frequent co-authors include Yanli Guo, Wei Guo, Zhiming Dong, Jia Liang, Gang Kuang, Xin Guo, Shengnan Liu, Xiaoliang Liang, Zhiming Dong and Jinsheng Xu. Their work appears in journals such as Clinical & Experimental Metastasis, Molecular Carcinogenesis, Tumor Biology, Molecular Cancer Research and International Journal of Gynecological Cancer.
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.