Xiaoning Li
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Ophthalmology and Visual Impairment Studies 5
- Surgery 6
- Esophageal Cancer Research and Treatment 5
- Co-authors
- Sara K. Vesely (2 shared papers)James N. George (2 shared papers)Deirdra R. Terrell (2 shared papers)George B. Selby (1 shared paper)Zhikuan Yang (7 shared papers)Moeed Akbar (1 shared paper)Neal L. Millar (1 shared paper)Leesa M. Galatz (1 shared paper)
- Journals
- Kidney & Blood Pressure Research (2 papers)Ophthalmology (1 paper)Journal of Pain Research (1 paper)Diagnostic Pathology (1 paper)BMC Oral Health (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoning Li
37 papers receiving 789 citations
Peers
Comparison fields: 5 of 96
- Transplantation 73
- Nephrology 122
- Orthopedics and Sports Medicine 91
- Immunology 168
- Hematology 75
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 168 | |
| 2 | 2019 | 122 | |
| 3 | 2019 | 59 | |
| 4 | 2010 | 56 | |
| 5 | 2023 | 44 | |
| 6 | 2008 | 43 | |
| 7 | 2021 | 36 | |
| 8 | 2017 | 31 | |
| 9 | 2021 | 28 | |
| 10 | 2011 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2013 | 20 | |
| 13 | 2015 | 19 | |
| 14 | 2017 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2023 | 7 | |
| 19 | [Retrospective clinical analysis of 118 cases with malignant glaucoma]. | 2013 | 7 |
| 20 | 2022 | 5 |
About Xiaoning Li
Xiaoning Li is a scholar working on Epidemiology, Surgery, Pulmonary and Respiratory Medicine, Pharmacology and Pathology and Forensic Medicine, having authored 40 papers that have together received 795 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (5 papers), Esophageal Cancer Research and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Glaucoma and retinal disorders (2 papers), Traditional Chinese Medicine Analysis (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Complement system in diseases (2 papers) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Transplantation (73 citations), Nephrology (122 citations), Orthopedics and Sports Medicine (91 citations), Immunology (168 citations) and Hematology (75 citations). Xiaoning Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sara K. Vesely, James N. George, Deirdra R. Terrell, George B. Selby, Zhikuan Yang, Moeed Akbar, Neal L. Millar, Leesa M. Galatz, Adam C. Abraham and Yousef Abu‐Amer. Their work appears in journals such as Kidney & Blood Pressure Research, Ophthalmology, Journal of Pain Research, Diagnostic Pathology and BMC Oral Health.
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.