Sheng Chen
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Protein Degradation and Inhibitors
Papers in
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 4
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- Extracellular vesicles in disease 10
- Epigenetics and DNA Methylation 3
- Co-authors
- Tingting Ma (3 shared papers)Zi Yin (3 shared papers)Yiping Zou (2 shared papers)Lehang Lin (1 shared paper)Jinhai Yan (1 shared paper)Xin Zhang (1 shared paper)Wei Wang (1 shared paper)Beifang Ning (1 shared paper)
- Journals
- Journal of Nanobiotechnology (4 papers)Medicine (3 papers)Journal of Cellular and Molecular Medicine (2 papers)Frontiers in Oncology (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Sheng Chen
46 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Cancer Research 261
- Molecular Biology 774
- Oncology 216
- Biomaterials 99
- Hepatology 67
Countries citing papers authored by Sheng Chen
This map shows the geographic impact of Sheng 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 Sheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Chen more than expected).
Fields of papers citing papers by Sheng Chen
This network shows the impact of papers produced by Sheng 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 Sheng Chen. The network helps show where Sheng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheng 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 273 | |
| 2 | 2016 | 198 | |
| 3 | 2021 | 128 | |
| 4 | 2020 | 106 | |
| 5 | 2022 | 102 | |
| 6 | 2018 | 83 | |
| 7 | 2020 | 64 | |
| 8 | 2022 | 51 | |
| 9 | 2021 | 44 | |
| 10 | 2018 | 41 | |
| 11 | 2019 | 40 | |
| 12 | 2024 | 35 | |
| 13 | 2024 | 34 | |
| 14 | 2016 | 32 | |
| 15 | 2019 | 32 | |
| 16 | 2023 | 32 | |
| 17 | 2021 | 29 | |
| 18 | 2022 | 29 | |
| 19 | 2022 | 28 | |
| 20 | 2015 | 26 |
About Sheng Chen
Sheng Chen is a scholar working on Cancer Research, Molecular Biology, Oncology, Biomaterials and Nephrology, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), MicroRNA in disease regulation (7 papers), Spinal Cord Injury Research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Cancer-related molecular mechanisms research (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (261 citations), Molecular Biology (774 citations), Oncology (216 citations), Biomaterials (99 citations) and Hepatology (67 citations). Sheng Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tingting Ma, Zi Yin, Yiping Zou, Lehang Lin, Jinhai Yan, Xin Zhang, Wei Wang, Beifang Ning, Fei Chen and Wei‐Fen Xie. Their work appears in journals such as Journal of Nanobiotechnology, Medicine, Journal of Cellular and Molecular Medicine, Frontiers in Oncology and Cancer Letters.
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.