Xiaoling Luo
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
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- Artificial Intelligence in Healthcare
Papers in
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- RNA modifications and cancer 3
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- Retinal Diseases and Treatments 8
- Co-authors
- Yong Xu (4 shared papers)Limei Sun (15 shared papers)Jian Yang (1 shared paper)Songshan Li (14 shared papers)Xiaoyan Ding (12 shared papers)Chonglin Chen (11 shared papers)Aiyuan Zhang (5 shared papers)Chengxi Liu (5 shared papers)
- Journals
- British Journal of Ophthalmology (3 papers)Experimental Eye Research (2 papers)Investigative Ophthalmology & Visual Science (2 papers)Inorganica Chimica Acta (2 papers)American Journal of Ophthalmology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoling Luo
40 papers receiving 486 citations
Peers
Comparison fields: 5 of 79
- Ophthalmology 114
- Health Information Management 37
- Radiology, Nuclear Medicine and Imaging 167
- Computer Vision and Pattern Recognition 109
- Neurology 34
Countries citing papers authored by Xiaoling Luo
This map shows the geographic impact of Xiaoling Luo'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 Xiaoling Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Luo more than expected).
Fields of papers citing papers by Xiaoling Luo
This network shows the impact of papers produced by Xiaoling Luo. 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 Xiaoling Luo. The network helps show where Xiaoling Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Luo, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2019 | 56 | |
| 3 | 2023 | 47 | |
| 4 | 2020 | 39 | |
| 5 | 2018 | 30 | |
| 6 | 2018 | 23 | |
| 7 | 2019 | 18 | |
| 8 | 2020 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2020 | 9 |
About Xiaoling Luo
Xiaoling Luo is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Genetics, having authored 43 papers that have together received 499 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (8 papers), Retinal Imaging and Analysis (4 papers), Retinal and Macular Surgery (4 papers), RNA modifications and cancer (3 papers), Digital Imaging for Blood Diseases (2 papers), Human Motion and Animation (2 papers), Human Pose and Action Recognition (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Ophthalmology (114 citations), Health Information Management (37 citations), Radiology, Nuclear Medicine and Imaging (167 citations), Computer Vision and Pattern Recognition (109 citations) and Neurology (34 citations). Xiaoling Luo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yong Xu, Limei Sun, Jian Yang, Songshan Li, Xiaoyan Ding, Chonglin Chen, Aiyuan Zhang, Chengxi Liu, Li Huang and Zhirong Wang. Their work appears in journals such as British Journal of Ophthalmology, Experimental Eye Research, Investigative Ophthalmology & Visual Science, Inorganica Chimica Acta and American Journal of Ophthalmology.
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.