Shaoshui Chen
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Lung Cancer Research Studies
Papers in
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Cancer Genomics and Diagnostics 2
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- Circular RNAs in diseases 4
- Co-authors
- Dong Wang (1 shared paper)Jingmin Li (1 shared paper)Fangfang Yang (1 shared paper)Xianyong Bai (1 shared paper)Feng Wang (1 shared paper)Changmin Liu (6 shared papers)Baosheng Li (3 shared papers)Haiting Mao (1 shared paper)
In The Last Decade
Shaoshui Chen
16 papers receiving 325 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 109
- Oncology 97
- Molecular Biology 169
- Pulmonary and Respiratory Medicine 70
- Immunology 39
Countries citing papers authored by Shaoshui Chen
This map shows the geographic impact of Shaoshui 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 Shaoshui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoshui Chen more than expected).
Fields of papers citing papers by Shaoshui Chen
This network shows the impact of papers produced by Shaoshui 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 Shaoshui Chen. The network helps show where Shaoshui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoshui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | 2014 | 67 | |
| 3 | 2016 | 34 | |
| 4 | 2021 | 22 | |
| 5 | 2017 | 22 | |
| 6 | 2014 | 19 | |
| 7 | 2019 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2021 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2013 | 7 | |
| 12 | 2020 | 7 | |
| 13 | Effects of MiR-210 on proliferation, apoptosis and invasion abilities of esophageal cancer cells. | 2019 | 7 |
| 14 | Radiation dose is associated with prognosis of small cell lung cancer with superior vena cava syndrome. | 2015 | 6 |
| 15 | 2018 | 6 | |
| 16 | 2020 | 4 |
About Shaoshui Chen
Shaoshui Chen is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 16 papers that have together received 327 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Research Studies (2 papers), Cancer Genomics and Diagnostics (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Cancer Research (109 citations), Oncology (97 citations), Molecular Biology (169 citations), Pulmonary and Respiratory Medicine (70 citations) and Immunology (39 citations). Shaoshui Chen has collaborated with scholars based in China and France. Frequent co-authors include Dong Wang, Jingmin Li, Fangfang Yang, Xianyong Bai, Feng Wang, Changmin Liu, Baosheng Li, Haiting Mao, Chuanxin Wang and Zhonghua Zhao. Their work appears in journals such as Journal of Clinical Oncology, Oncology Reports, Cell Biochemistry and Biophysics, Annals of Palliative Medicine and BioMed Research International.
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.