Dan Su
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Health top 10%
- Health disparities and outcomes
Papers in
-
- Circular RNAs in diseases 4
- RNA modifications and cancer 4
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 7
- Co-authors
- Xianning Wu (6 shared papers)Huiping Li (1 shared paper)Jingping Zhang (1 shared paper)Leshan Zhou (1 shared paper)Yingxin Zhang (1 shared paper)Bin Yan (7 shared papers)Luan Wen (2 shared papers)Yun‐Bo Shi (2 shared papers)
- Journals
- Molecular Therapy — Nucleic Acids (4 papers)Scientific Reports (3 papers)Journal of Biological Chemistry (2 papers)Clinical Cardiology (2 papers)Biochemical Society Transactions (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Dan Su
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 214
- Health 86
- Neuropsychology and Physiological Psychology 14
- Molecular Biology 465
- Endocrinology, Diabetes and Metabolism 103
Countries citing papers authored by Dan Su
This map shows the geographic impact of Dan Su'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 Dan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Su more than expected).
Fields of papers citing papers by Dan Su
This network shows the impact of papers produced by Dan Su. 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 Dan Su. The network helps show where Dan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Su, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 122 | |
| 2 | 2013 | 74 | |
| 3 | 2007 | 64 | |
| 4 | 2017 | 50 | |
| 5 | 2017 | 49 | |
| 6 | 2017 | 49 | |
| 7 | 2015 | 43 | |
| 8 | 2020 | 40 | |
| 9 | 2010 | 38 | |
| 10 | 2016 | 32 | |
| 11 | 2013 | 31 | |
| 12 | 2016 | 28 | |
| 13 | 2013 | 27 | |
| 14 | 2021 | 26 | |
| 15 | 2015 | 25 | |
| 16 | 2021 | 25 | |
| 17 | 2021 | 22 | |
| 18 | 2014 | 21 | |
| 19 | 2017 | 21 | |
| 20 | 2016 | 20 |
About Dan Su
Dan Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Cardiology and Cardiovascular Medicine, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Blood Pressure and Hypertension Studies (7 papers), Cancer-related molecular mechanisms research (7 papers), Cardiovascular Health and Disease Prevention (5 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), Heart Rate Variability and Autonomic Control (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Cancer Research (214 citations), Health (86 citations), Neuropsychology and Physiological Psychology (14 citations), Molecular Biology (465 citations) and Endocrinology, Diabetes and Metabolism (103 citations). Dan Su has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xianning Wu, Huiping Li, Jingping Zhang, Leshan Zhou, Yingxin Zhang, Bin Yan, Luan Wen, Yun‐Bo Shi, Pengcheng Chen and Jianguo Feng. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Scientific Reports, Journal of Biological Chemistry, Clinical Cardiology and Biochemical Society Transactions.
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.