Matthew Li
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- COVID-19 diagnosis using AI 8
- Radiomics and Machine Learning in Medical Imaging 4
- Genetics 15
- Mesenchymal stem cell research 10
- Co-authors
- Min Lang (15 shared papers)Brent P. Little (13 shared papers)Biju Parekkadan (16 shared papers)Dexter P. Mendoza (9 shared papers)Terry C. Burns (6 shared papers)Jayashree Kalpathy–Cramer (14 shared papers)Avik Som (6 shared papers)Efrén J. Flores (6 shared papers)
- Journals
- American Journal of Neuroradiology (6 papers)Academic Radiology (4 papers)Journal of the American College of Radiology (3 papers)Radiology Artificial Intelligence (3 papers)Cytotherapy (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Matthew Li
91 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 164
- Health Informatics 156
- Genetics 255
- Critical Care and Intensive Care Medicine 110
- Radiology, Nuclear Medicine and Imaging 451
- Neurology 267
Countries citing papers authored by Matthew Li
This map shows the geographic impact of Matthew 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 Matthew Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Li more than expected).
Fields of papers citing papers by Matthew Li
This network shows the impact of papers produced by Matthew 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 Matthew Li. The network helps show where Matthew Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 215 | |
| 2 | 2021 | 159 | |
| 3 | 2018 | 133 | |
| 4 | 2020 | 106 | |
| 5 | 2020 | 105 | |
| 6 | 2014 | 101 | |
| 7 | 2012 | 99 | |
| 8 | 2013 | 95 | |
| 9 | 2019 | 90 | |
| 10 | 2012 | 84 | |
| 11 | 2020 | 80 | |
| 12 | 2020 | 79 | |
| 13 | 2016 | 78 | |
| 14 | Drug-Induced QT Prolongation And Torsades de Pointes. | 2017 | 77 |
| 15 | 2014 | 77 | |
| 16 | 2020 | 55 | |
| 17 | 2015 | 50 | |
| 18 | 2020 | 48 | |
| 19 | 2020 | 46 | |
| 20 | 2015 | 45 |
About Matthew Li
Matthew Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Neurology, Oncology and Infectious Diseases, having authored 95 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), COVID-19 diagnosis using AI (8 papers), COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), CAR-T cell therapy research (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (156 citations), Genetics (255 citations), Critical Care and Intensive Care Medicine (110 citations), Radiology, Nuclear Medicine and Imaging (451 citations) and Neurology (267 citations). Matthew Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Min Lang, Brent P. Little, Biju Parekkadan, Dexter P. Mendoza, Terry C. Burns, Jayashree Kalpathy–Cramer, Avik Som, Efrén J. Flores, Tania Bubela and Harold Atkins. Their work appears in journals such as American Journal of Neuroradiology, Academic Radiology, Journal of the American College of Radiology, Radiology Artificial Intelligence and Cytotherapy.
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.