Shu Su
Impact in
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- Lipid metabolism and biosynthesis
Papers in
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- Retinal Diseases and Treatments 4
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- Retinal Imaging and Analysis 2
- Co-authors
- Shuai Chen (5 shared papers)Qiaoli Chen (5 shared papers)Min Li (4 shared papers)Qian Ouyang (3 shared papers)Xinyu Yang (3 shared papers)Mei Yang (5 shared papers)Rongrong Zhu (4 shared papers)Hongyu Wang (4 shared papers)
- Journals
- Nature Communications (4 papers)Investigative Ophthalmology & Visual Science (2 papers)Cellular Immunology (2 papers)Experimental Eye Research (1 paper)ACS Omega (1 paper)
- Partner nations
- ChinaTaiwanUnited Kingdom
In The Last Decade
Shu Su
25 papers receiving 284 citations
Peers
Comparison fields: 5 of 59
- Biochemistry 44
- Ophthalmology 21
- Molecular Biology 129
- Cell Biology 22
- Physiology 30
Countries citing papers authored by Shu Su
This map shows the geographic impact of Shu 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 Shu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Su more than expected).
Fields of papers citing papers by Shu Su
This network shows the impact of papers produced by Shu 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 Shu Su. The network helps show where Shu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 84 | |
| 2 | 2020 | 42 | |
| 3 | 2013 | 36 | |
| 4 | 2022 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2018 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 6 | |
| 13 | [Association of ZNF644, GRM6 and CTNND2 genes polymorphisms with high myopia]. | 2014 | 5 |
| 14 | 2023 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2020 | 1 |
About Shu Su
Shu Su is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Endocrine and Autonomic Systems and Immunology, having authored 26 papers that have together received 287 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cardiovascular Function and Risk Factors (2 papers), CAR-T cell therapy research (2 papers), Bacterial Genetics and Biotechnology (2 papers), Ophthalmology and Visual Impairment Studies (2 papers), Circadian rhythm and melatonin (2 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Biochemistry (44 citations), Ophthalmology (21 citations), Molecular Biology (129 citations), Cell Biology (22 citations) and Physiology (30 citations). Shu Su has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Shuai Chen, Qiaoli Chen, Min Li, Qian Ouyang, Xinyu Yang, Mei Yang, Rongrong Zhu, Hongyu Wang, Nan Hu and Huaijin Guan. Their work appears in journals such as Nature Communications, Investigative Ophthalmology & Visual Science, Cellular Immunology, Experimental Eye Research and ACS Omega.
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.