Xiaoning Li
Impact in
- Orthopedics and Sports Medicine top 10%
- Tendon Structure and Treatment
- Ophthalmology top 5%
Papers in
-
- Ophthalmology and Visual Impairment Studies 4
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Management and Education 2
- Co-authors
- Zhikuan Yang (6 shared papers)Mengyun Zheng (2 shared papers)Hui Jin (2 shared papers)Donglei Wang (1 shared paper)Weizhong Lan (4 shared papers)Longbo Wen (4 shared papers)Naiyang Shi (1 shared paper)Chunxiao Duan (1 shared paper)
- Journals
- Translational Vision Science & Technology (2 papers)PLoS ONE (2 papers)Medicine (2 papers)Clinical Neurology and Neurosurgery (1 paper)Journal of Natural Products (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Xiaoning Li
35 papers receiving 804 citations
Peers
Comparison fields: 5 of 112
- Orthopedics and Sports Medicine 68
- Ophthalmology 59
- Epidemiology 195
- General Health Professions 136
- Radiology, Nuclear Medicine and Imaging 88
Countries citing papers authored by Xiaoning Li
This map shows the geographic impact of Xiaoning 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 Xiaoning Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Li more than expected).
Fields of papers citing papers by Xiaoning Li
This network shows the impact of papers produced by Xiaoning 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 Xiaoning Li. The network helps show where Xiaoning Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoning 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 163 | |
| 2 | 2020 | 128 | |
| 3 | 2020 | 73 | |
| 4 | 2020 | 66 | |
| 5 | 2013 | 45 | |
| 6 | 2020 | 33 | |
| 7 | 2014 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 2020 | 24 | |
| 10 | 2018 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2018 | 18 | |
| 13 | 2022 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2017 | 13 | |
| 16 | 2011 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2022 | 10 |
About Xiaoning Li
Xiaoning Li is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, General Health Professions, Surgery and Infectious Diseases, having authored 38 papers that have together received 819 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (4 papers), Health Literacy and Information Accessibility (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Tendon Structure and Treatment (3 papers), Glaucoma and retinal disorders (2 papers), Shoulder Injury and Treatment (2 papers), Diabetes Management and Education (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (68 citations), Ophthalmology (59 citations), Epidemiology (195 citations), General Health Professions (136 citations) and Radiology, Nuclear Medicine and Imaging (88 citations). Xiaoning Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhikuan Yang, Mengyun Zheng, Hui Jin, Donglei Wang, Weizhong Lan, Longbo Wen, Naiyang Shi, Chunxiao Duan, Lun Pan and Haogang Zhu. Their work appears in journals such as Translational Vision Science & Technology, PLoS ONE, Medicine, Clinical Neurology and Neurosurgery and Journal of Natural Products.
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.