Shengbin Dai
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Cancer-related gene regulation
- Cell death mechanisms and regulation
Papers in
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- Cancer-related gene regulation 4
- RNA modifications and cancer 4
- Cell death mechanisms and regulation 3
- S100 Proteins and Annexins 2
- Oncology 6
- Co-authors
- Xi Yang (7 shared papers)Hongcheng Zhu (8 shared papers)Xinchen Sun (6 shared papers)Jing Cai (5 shared papers)Liping Xu (5 shared papers)Junxing Huang (7 shared papers)Hongyan Cheng (6 shared papers)Guangzhou Tao (4 shared papers)
In The Last Decade
Shengbin Dai
26 papers receiving 488 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 104
- Molecular Biology 264
- Oncology 79
- Pharmacology 43
- Pulmonary and Respiratory Medicine 58
Countries citing papers authored by Shengbin Dai
This map shows the geographic impact of Shengbin Dai'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 Shengbin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengbin Dai more than expected).
Fields of papers citing papers by Shengbin Dai
This network shows the impact of papers produced by Shengbin Dai. 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 Shengbin Dai. The network helps show where Shengbin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengbin Dai, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 90 | |
| 2 | 2021 | 55 | |
| 3 | 2014 | 53 | |
| 4 | UNC51-like kinase 1 as a potential prognostic biomarker for hepatocellular carcinoma. | 2013 | 39 |
| 5 | 2013 | 37 | |
| 6 | 2014 | 36 | |
| 7 | 2014 | 29 | |
| 8 | 2015 | 29 | |
| 9 | 2019 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 19 | |
| 12 | 2018 | 15 | |
| 13 | 2018 | 11 | |
| 14 | 2014 | 7 | |
| 15 | IGF-I CA19 repeat polymorphisms and cancer risk: a meta-analysis. | 2015 | 6 |
| 16 | 2015 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2024 | 2 |
About Shengbin Dai
Shengbin Dai is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 28 papers that have together received 494 indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), RNA modifications and cancer (4 papers), Cell death mechanisms and regulation (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Esophageal Cancer Research and Treatment (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Cancer Research (104 citations), Molecular Biology (264 citations), Oncology (79 citations), Pharmacology (43 citations) and Pulmonary and Respiratory Medicine (58 citations). Shengbin Dai has collaborated with scholars based in China and Taiwan. Frequent co-authors include Xi Yang, Hongcheng Zhu, Xinchen Sun, Jing Cai, Liping Xu, Junxing Huang, Hongyan Cheng, Guangzhou Tao, Qing Guo and Gaohua Han. Their work appears in journals such as Tumor Biology, OncoTargets and Therapy, Dose-Response, Medicine and Journal of Hematology & Oncology.
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.