Shu‐Ting Li
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Ion Transport and Channel Regulation 2
- Circular RNAs in diseases 2
-
- Retinal Diseases and Treatments 4
- Co-authors
- He-Qin Zhan (2 shared papers)Haibo Long (2 shared papers)Wangqiu Gong (2 shared papers)Fenfen Peng (2 shared papers)Qiang Wu (2 shared papers)Yuanzhe Li (7 shared papers)Xiangning Wang (2 shared papers)Wenting Liu (1 shared paper)
- Journals
- PLoS ONE (2 papers)Computer Methods and Programs in Biomedicine (2 papers)Genomics Proteomics & Bioinformatics (2 papers)Neurological Research (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Shu‐Ting Li
45 papers receiving 665 citations
Peers
Comparison fields: 5 of 115
- Ophthalmology 51
- Cancer Research 74
- Nephrology 33
- Radiology, Nuclear Medicine and Imaging 93
- Molecular Biology 215
Countries citing papers authored by Shu‐Ting Li
This map shows the geographic impact of Shu‐Ting Li'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‐Ting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Ting Li more than expected).
Fields of papers citing papers by Shu‐Ting Li
This network shows the impact of papers produced by Shu‐Ting Li. 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‐Ting Li. The network helps show where Shu‐Ting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu‐Ting Li, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2017 | 74 | |
| 3 | 2016 | 63 | |
| 4 | 2013 | 33 | |
| 5 | 2003 | 28 | |
| 6 | 2017 | 28 | |
| 7 | 2022 | 25 | |
| 8 | 2020 | 25 | |
| 9 | 2017 | 20 | |
| 10 | 2022 | 20 | |
| 11 | 2018 | 20 | |
| 12 | 2023 | 19 | |
| 13 | 2024 | 18 | |
| 14 | 2013 | 18 | |
| 15 | 2013 | 17 | |
| 16 | 2024 | 14 | |
| 17 | 2003 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2019 | 11 | |
| 20 | 2016 | 11 |
About Shu‐Ting Li
Shu‐Ting Li is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 677 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (2 papers), Animal Virus Infections Studies (2 papers), Ion Transport and Channel Regulation (2 papers), Circular RNAs in diseases (2 papers) and Catalytic C–H Functionalization Methods (2 papers). The work is most often cited by research in Ophthalmology (51 citations), Cancer Research (74 citations), Nephrology (33 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Molecular Biology (215 citations). Shu‐Ting Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include He-Qin Zhan, Haibo Long, Wangqiu Gong, Fenfen Peng, Qiang Wu, Yuanzhe Li, Xiangning Wang, Wenting Liu, Bohui Yin and Shun Fang. Their work appears in journals such as PLoS ONE, Computer Methods and Programs in Biomedicine, Genomics Proteomics & Bioinformatics, Neurological Research and Journal of the American Chemical Society.
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.