Shaolin Li
Impact in
- Health Informatics top 0.5%
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
-
- Bone and Joint Diseases 10
- Co-authors
- Kunwei LiMingqian HuangXueyan MeiAdam BernheimMichael ChungHong ShanZahi A. FayadNing Zhang
- Journals
- European Radiology (4 papers)Journal of Magnetic Resonance Imaging (4 papers)Radiology (2 papers)Oncology Reports (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shaolin Li
108 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Health Informatics 186
- Infectious Diseases 2.5k
- Radiology, Nuclear Medicine and Imaging 3.0k
- Critical Care and Intensive Care Medicine 640
- 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 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 | 77 |
| 5 | 2023 | 13 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 28 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 48 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 22 | |
| 12 | 2019 | 20 | |
| 13 | 2017 | 11 | |
| 14 | 2016 | 1 | |
| 15 | 2013 | 13 | |
| 16 | 2011 | 11 | |
| 17 | 2009 | 1 | |
| 18 | Application of MRI in molecular imaging | 2007 | 1 |
| 19 | 2003 | 38 | |
| 20 | Evaluation and optimization of a DMSA kit for instant preparation of ~(99m)Tc(V)－DMSA | 1999 | 1 |
About Shaolin Li
Shaolin Li is a scholar working on Aging, Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging, Rheumatology and Cancer Research, having authored 110 papers that have together received 6.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), COVID-19 Clinical Research Studies (10 papers), Bone and Joint Diseases (10 papers), COVID-19 diagnosis using AI (9 papers), Medical Imaging and Analysis (9 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Spine and Intervertebral Disc Pathology (7 papers) and Spondyloarthritis Studies and Treatments (6 papers). The work is most often cited by research in Health Informatics (186 citations), Infectious Diseases (2.5k citations), Radiology, Nuclear Medicine and Imaging (3.0k citations), Critical Care and Intensive Care Medicine (640 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, Xueyan Mei, Adam Bernheim, Michael Chung, Hong Shan, Zahi A. Fayad, Ning Zhang, Adam Jacobi and Yang Yang. Their work appears in journals such as European Radiology, Journal of Magnetic Resonance Imaging, Radiology, Oncology Reports and BioMed Research International.
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.