Shengyu Cui
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Signaling Pathways in Disease 4
- Metabolism, Diabetes, and Cancer 3
- Fibroblast Growth Factor Research 3
- Bone Metabolism and Diseases 3
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- MicroRNA in disease regulation 7
- NF-κB Signaling Pathways 3
- Co-authors
- Xinhui Zhu (14 shared papers)Hong Yi (9 shared papers)Jianbo Fan (10 shared papers)Zhiming Cui (7 shared papers)Jianning Zhao (3 shared papers)Bo Tao (4 shared papers)Lin Xu (5 shared papers)Dawei Xu (5 shared papers)
In The Last Decade
Shengyu Cui
31 papers receiving 435 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 107
- Geriatrics and Gerontology 12
- Molecular Biology 236
- Rheumatology 35
- Orthopedics and Sports Medicine 19
Countries citing papers authored by Shengyu Cui
This map shows the geographic impact of Shengyu Cui'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 Shengyu Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengyu Cui more than expected).
Fields of papers citing papers by Shengyu Cui
This network shows the impact of papers produced by Shengyu Cui. 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 Shengyu Cui. The network helps show where Shengyu Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengyu Cui, 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 | 2016 | 52 | |
| 2 | 2020 | 40 | |
| 3 | 2020 | 36 | |
| 4 | 2019 | 22 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2023 | 17 | |
| 10 | 2016 | 15 | |
| 11 | 2011 | 14 | |
| 12 | 2022 | 14 | |
| 13 | Knockdown of LSD1 ameliorates the severity of rheumatoid arthritis and decreases the function of CD4 T cells in mouse models. | 2018 | 14 |
| 14 | 2023 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2025 | 10 |
About Shengyu Cui
Shengyu Cui is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Immunology and Surgery, having authored 31 papers that have together received 438 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Signaling Pathways in Disease (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Fibroblast Growth Factor Research (3 papers), NF-κB Signaling Pathways (3 papers), Bone Metabolism and Diseases (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cancer Research (107 citations), Geriatrics and Gerontology (12 citations), Molecular Biology (236 citations), Rheumatology (35 citations) and Orthopedics and Sports Medicine (19 citations). Shengyu Cui has collaborated with scholars based in China and Japan. Frequent co-authors include Xinhui Zhu, Hong Yi, Jianbo Fan, Zhiming Cui, Jianning Zhao, Bo Tao, Lin Xu, Dawei Xu, Zhiming Cui and Yong Pu. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, International Immunopharmacology, Biochemical and Biophysical Research Communications, Oncotarget and Cellular & Molecular Biology 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.