Yang Su
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biological Psychiatry top 10%
Papers in
-
- Circular RNAs in diseases 17
- Ubiquitin and proteasome pathways 6
- RNA Research and Splicing 6
- DNA Repair Mechanisms 5
- Muscle Physiology and Disorders 5
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- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 12
- Co-authors
- Yilin Hu (5 shared papers)Lingling Zhou (4 shared papers)Weibing Tang (11 shared papers)Guanglin Chen (9 shared papers)Yankai Xia (9 shared papers)Ang Zhou (1 shared paper)Wei Yin (1 shared paper)Fuzhen Qi (1 shared paper)
- Journals
- Nature Communications (3 papers)Cell Cycle (3 papers)Nucleic Acids Research (2 papers)Aging (2 papers)International Journal of Hydrogen Energy (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yang Su
66 papers receiving 1.9k citations
Yang Su's Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 759
- Biological Psychiatry 41
- Molecular Biology 1.2k
- Behavioral Neuroscience 29
- Immunology 122
Countries citing papers authored by Yang Su
This map shows the geographic impact of Yang 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 Yang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Su more than expected).
Fields of papers citing papers by Yang Su
This network shows the impact of papers produced by Yang 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 Yang Su. The network helps show where Yang Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 178 | |
| 2 | 2016 | 163 | |
| 3 | 2021 | 107 | |
| 4 | Luteolin: A promising multifunctional natural flavonoid for human diseases Hit paper breakdown → | 2024 | 90 |
| 5 | 2019 | 74 | |
| 6 | 2018 | 73 | |
| 7 | 2020 | 64 | |
| 8 | 2019 | 64 | |
| 9 | 2021 | 53 | |
| 10 | 2018 | 46 | |
| 11 | 2019 | 45 | |
| 12 | 2020 | 41 | |
| 13 | 2010 | 41 | |
| 14 | 2023 | 38 | |
| 15 | 2008 | 38 | |
| 16 | 2019 | 35 | |
| 17 | 2020 | 34 | |
| 18 | 2020 | 31 | |
| 19 | 2017 | 31 | |
| 20 | 2020 | 31 |
About Yang Su
Yang Su is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Epidemiology, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Circular RNAs in diseases (17 papers), Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (12 papers), Ubiquitin and proteasome pathways (6 papers), RNA Research and Splicing (6 papers), DNA Repair Mechanisms (5 papers), Muscle Physiology and Disorders (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Cancer Research (759 citations), Biological Psychiatry (41 citations), Molecular Biology (1.2k citations), Behavioral Neuroscience (29 citations) and Immunology (122 citations). Yang Su has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yilin Hu, Lingling Zhou, Weibing Tang, Guanglin Chen, Yankai Xia, Ang Zhou, Wei Yin, Fuzhen Qi, Lei Peng and Chunxia Du. Their work appears in journals such as Nature Communications, Cell Cycle, Nucleic Acids Research, Aging and International Journal of Hydrogen Energy.
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.