Ying Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biophysics top 2%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- RNA modifications and cancer 9
- Advanced biosensing and bioanalysis techniques 6
- Cancer-related gene regulation 6
- RNA Research and Splicing 5
-
- Cancer-related molecular mechanisms research 15
- MicroRNA in disease regulation 10
- Co-authors
- Zhe Luo (8 shared papers)Duming Zhu (2 shared papers)Jing Cang (1 shared paper)Hongyu He (1 shared paper)Yimei Liu (1 shared paper)Min‐Jie Ju (1 shared paper)Xinyan Zhang (8 shared papers)Jianji Pan (13 shared papers)
- Journals
- Scientific Reports (4 papers)Oxidative Medicine and Cellular Longevity (3 papers)Frontiers in Oncology (3 papers)Frontiers in Immunology (2 papers)Biochemistry and Cell Biology (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Ying Su
117 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 140
- Cancer Research 346
- Biophysics 120
- Molecular Biology 857
- Physiology 55
- Immunology 190
Countries citing papers authored by Ying Su
This map shows the geographic impact of Ying 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 Ying Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Su more than expected).
Fields of papers citing papers by Ying Su
This network shows the impact of papers produced by Ying 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 Ying Su. The network helps show where Ying Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 192 | |
| 2 | 2011 | 125 | |
| 3 | 2009 | 93 | |
| 4 | 2011 | 84 | |
| 5 | 2013 | 56 | |
| 6 | 2012 | 51 | |
| 7 | 2006 | 46 | |
| 8 | 2017 | 44 | |
| 9 | 2022 | 42 | |
| 10 | 2020 | 40 | |
| 11 | 2009 | 38 | |
| 12 | 2021 | 37 | |
| 13 | 2011 | 36 | |
| 14 | 2012 | 35 | |
| 15 | 2020 | 34 | |
| 16 | 2022 | 29 | |
| 17 | 2021 | 27 | |
| 18 | 2023 | 27 | |
| 19 | 2013 | 26 | |
| 20 | 2019 | 26 |
About Ying Su
Ying Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Biophysics and Immunology, having authored 125 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), Spectroscopy Techniques in Biomedical and Chemical Research (13 papers), MicroRNA in disease regulation (10 papers), RNA modifications and cancer (9 papers), Spectroscopy and Chemometric Analyses (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), Cancer-related gene regulation (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (346 citations), Biophysics (120 citations), Molecular Biology (857 citations), Physiology (55 citations) and Immunology (190 citations). Ying Su has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Zhe Luo, Duming Zhu, Jing Cang, Hongyu He, Yimei Liu, Min‐Jie Ju, Xinyan Zhang, Jianji Pan, Hao Wu and Pengyu Yang. Their work appears in journals such as Scientific Reports, Oxidative Medicine and Cellular Longevity, Frontiers in Oncology, Frontiers in Immunology and Biochemistry and Cell Biology.
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.