Shaolin Li
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Health Informatics top 0.5%
Papers in
-
- COVID-19 diagnosis using AI 5
- Radiomics and Machine Learning in Medical Imaging 5
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Kunwei Li (6 shared papers)Mingqian Huang (7 shared papers)Adam Bernheim (3 shared papers)Xueyan Mei (3 shared papers)Michael Chung (3 shared papers)Zahi A. Fayad (2 shared papers)Ning Zhang (2 shared papers)Hong Shan (2 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (4 papers)European Radiology (3 papers)European Journal of Radiology (3 papers)International Journal of Molecular Medicine (2 papers)Radiology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shaolin Li
104 papers receiving 5.8k citations
Shaolin Li's Hit Papers
Peers
Comparison fields: 5 of 158
- Infectious Diseases 2.1k
- Health Informatics 148
- Critical Care and Intensive Care Medicine 446
- Radiology, Nuclear Medicine and Imaging 2.1k
- Aging 160
Countries citing papers authored by Shaolin Li
This map shows the geographic impact of Shaolin 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 Shaolin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Li more than expected).
Fields of papers citing papers by Shaolin Li
This network shows the impact of papers produced by Shaolin 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 Shaolin Li. The network helps show where Shaolin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaolin 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) Hit paper breakdown → | 2020 | 1874 |
| 2 | Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection Hit paper breakdown → | 2020 | 1757 |
| 3 | 2020 | 478 | |
| 4 | 2020 | 181 | |
| 5 | Metabolic score for insulin resistance (METS-IR) predicts all-cause and cardiovascular mortality in the general population: evidence from NHANES 2001–2018 Hit paper breakdown → | 2024 | 103 |
| 6 | 2017 | 70 | |
| 7 | 2016 | 57 | |
| 8 | 2016 | 57 | |
| 9 | 2021 | 51 | |
| 10 | 2017 | 51 | |
| 11 | 2011 | 49 | |
| 12 | 2019 | 48 | |
| 13 | 2012 | 47 | |
| 14 | 2014 | 45 | |
| 15 | 2008 | 42 | |
| 16 | 2015 | 40 | |
| 17 | 2018 | 39 | |
| 18 | 2020 | 39 | |
| 19 | 2015 | 38 | |
| 20 | 2003 | 38 |
About Shaolin Li
Shaolin Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Rheumatology and Biomedical Engineering, having authored 108 papers that have together received 5.9k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Cancer Cells and Metastasis (5 papers), Spondyloarthritis Studies and Treatments (5 papers), Medical Imaging and Analysis (5 papers), COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Health Informatics (148 citations), Critical Care and Intensive Care Medicine (446 citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Aging (160 citations). Shaolin Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kunwei Li, Mingqian Huang, Adam Bernheim, Xueyan Mei, Michael Chung, Zahi A. Fayad, Ning Zhang, Hong Shan, Adam Jacobi and Yang Yang. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Radiology, European Journal of Radiology, International Journal of Molecular Medicine and Radiology.
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.