Shuai Tan
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
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- Genomics and Phylogenetic Studies 4
- Natural product bioactivities and synthesis 3
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- Platelet Disorders and Treatments 4
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- Genetic diversity and population structure 6
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- T-cell and B-cell Immunology 4
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- Insect and Pesticide Research 4
- Co-authors
- Fangdong ZouJingshan TongLin ZhangJian YuZaneta Nikolovska‐ColeskaPeng WangDongshi ChenManzhi Liu
- Journals
- Journal of Thrombosis and Haemostasis (3 papers)Cancer Research (2 papers)Environmental Toxicology and Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Shuai Tan
48 papers receiving 774 citations
Peers
Comparison fields: 5 of 110
- Cancer Research 116
- Industrial and Manufacturing Engineering 55
- Oncology 164
- Molecular Biology 411
- Hematology 51
Countries citing papers authored by Shuai Tan
This map shows the geographic impact of Shuai Tan'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 Shuai Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Tan more than expected).
Fields of papers citing papers by Shuai Tan
This network shows the impact of papers produced by Shuai Tan. 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 Shuai Tan. The network helps show where Shuai Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuai Tan, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 6 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 25 | |
| 11 | 2020 | 1 | |
| 12 | MiR-203 acts as a radiosensitizer of gastric cancer cells by directly targeting ZEB1 | 2019 | 1 |
| 13 | 2019 | 87 | |
| 14 | 2018 | 25 | |
| 15 | 2018 | 21 | |
| 16 | 2017 | 43 | |
| 17 | 2017 | 104 | |
| 18 | 2016 | 121 | |
| 19 | 2014 | 1 | |
| 20 | 2013 | 1 |
About Shuai Tan
Shuai Tan is a scholar working on Cancer Research, Genetics, Immunology, Molecular Biology and Transplantation, having authored 60 papers that have together received 781 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Genetic diversity and population structure (6 papers), Cancer-related molecular mechanisms research (5 papers), Platelet Disorders and Treatments (4 papers), T-cell and B-cell Immunology (4 papers), Insect and Pesticide Research (4 papers), Genomics and Phylogenetic Studies (4 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Cancer Research (116 citations), Industrial and Manufacturing Engineering (55 citations), Oncology (164 citations), Molecular Biology (411 citations) and Hematology (51 citations). Shuai Tan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Fangdong Zou, Jingshan Tong, Lin Zhang, Jian Yu, Zaneta Nikolovska‐Coleska, Peng Wang, Dongshi Chen, Manzhi Liu, Zhizhi Chen and Nailin Li. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Cancer Research, Environmental Toxicology and Pharmacology, Cancer and Food Chemistry X.
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.