Su Dong
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Circular RNAs in diseases
- Inflammasome and immune disorders
Papers in
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- Thyroid Cancer Diagnosis and Treatment 7
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- Ubiquitin and proteasome pathways 8
- RNA modifications and cancer 4
- Protein Degradation and Inhibitors 3
- Co-authors
- Yutong Zhao (13 shared papers)Jing Zhao (12 shared papers)Jianxin Wei (9 shared papers)Haichun Ma (8 shared papers)Jia Liu (7 shared papers)Zhonghui Liu (2 shared papers)Rachel K. Mialki (2 shared papers)Xianying Meng (4 shared papers)
- Journals
- The FASEB Journal (2 papers)American Journal of Physiology-Cell Physiology (2 papers)Journal of Cellular Biochemistry (2 papers)Cellular Signalling (2 papers)Frontiers in Cardiovascular Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Su Dong
40 papers receiving 643 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 92
- Molecular Biology 345
- Anesthesiology and Pain Medicine 20
- Cell Biology 61
- Immunology 68
Countries citing papers authored by Su Dong
This map shows the geographic impact of Su Dong'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 Su Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Dong more than expected).
Fields of papers citing papers by Su Dong
This network shows the impact of papers produced by Su Dong. 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 Su Dong. The network helps show where Su Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Dong, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 78 | |
| 2 | 2019 | 71 | |
| 3 | 2014 | 51 | |
| 4 | 2017 | 44 | |
| 5 | 2014 | 38 | |
| 6 | 2016 | 28 | |
| 7 | 2023 | 28 | |
| 8 | 2010 | 25 | |
| 9 | 2014 | 23 | |
| 10 | microRNA-141 inhibits thyroid cancer cell growth and metastasis by targeting insulin receptor substrate 2. | 2016 | 23 |
| 11 | 2017 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2015 | 13 | |
| 16 | 2015 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2014 | 10 |
About Su Dong
Su Dong is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research, Anesthesiology and Pain Medicine and Surgery, having authored 41 papers that have together received 648 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), RNA modifications and cancer (4 papers), Airway Management and Intubation Techniques (4 papers), Cancer-related molecular mechanisms research (4 papers), Peptidase Inhibition and Analysis (4 papers), Head and Neck Anomalies (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cancer Research (92 citations), Molecular Biology (345 citations), Anesthesiology and Pain Medicine (20 citations), Cell Biology (61 citations) and Immunology (68 citations). Su Dong has collaborated with scholars based in China and United States. Frequent co-authors include Yutong Zhao, Jing Zhao, Jianxin Wei, Haichun Ma, Jia Liu, Zhonghui Liu, Rachel K. Mialki, Xianying Meng, Rama K. Mallampalli and Guang Chen. Their work appears in journals such as The FASEB Journal, American Journal of Physiology-Cell Physiology, Journal of Cellular Biochemistry, Cellular Signalling and Frontiers in Cardiovascular 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.