Shaoping Chen
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Oncology top 10%
- Peptidase Inhibition and Analysis 4
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer 3
- Circular RNAs in diseases 3
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- Cardiac Structural Anomalies and Repair 3
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- Congenital Heart Disease Studies 3
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- Mechanical Circulatory Support Devices 3
- Journals
- Circulation Research (2 papers)Journal of Biological Chemistry (2 papers)Pest Management Science (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Shaoping Chen
42 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Endocrine and Autonomic Systems 114
- Cancer Research 238
- Oncology 359
- Molecular Biology 793
- Cellular and Molecular Neuroscience 194
Countries citing papers authored by Shaoping Chen
This map shows the geographic impact of Shaoping 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 Shaoping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoping Chen more than expected).
Fields of papers citing papers by Shaoping Chen
This network shows the impact of papers produced by Shaoping 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 Shaoping Chen. The network helps show where Shaoping Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaoping 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 7 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 0 | |
| 7 | 2019 | 6 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 11 | |
| 10 | 2013 | 15 | |
| 11 | 2013 | 31 | |
| 12 | 2012 | 15 | |
| 13 | 2012 | 9 | |
| 14 | Advances in research on anticancer effects of cardiac glycosides | 2009 | 1 |
| 15 | Construction of a eukaryotic expression vector hVEGF_(165)-fused hirudin/pcDNA3.0 and its expression | 2005 | 1 |
| 16 | 2002 | 50 | |
| 17 | 2002 | 57 | |
| 18 | Expression of vascular endothelial growth factor in mammalian cell | 1999 | 0 |
| 19 | 1997 | 38 | |
| 20 | 1997 | 357 |
About Shaoping Chen
Shaoping Chen is a scholar working on Aging, Internal Medicine and Cancer Research, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Congenital Heart Disease Studies (3 papers), Circular RNAs in diseases (3 papers) and Mechanical Circulatory Support Devices (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (114 citations), Cancer Research (238 citations) and Oncology (359 citations). Shaoping Chen has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yie‐Hwa Chang, Jun O. Liu, Jianxin Sun, Zhuchun Wu, Bei You, Guijun Yan, Zhuang Su, Benjamin E. Turk, Eric C. Griffith and K. Biemann. Their work appears in journals such as Circulation Research, Journal of Biological Chemistry, Pest Management Science, Scientific Reports and BMC Pulmonary Medicine.
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.