John Li
Impact in
- Rheumatology top 10%
- Heterotopic Ossification and Related Conditions
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Heterotopic Ossification and Related Conditions 4
- Surgery 3
- Co-authors
- Arthur Jeng (1 shared paper)Shawn Loder (4 shared papers)Shailesh Agarwal (4 shared papers)Benjamin Lévi (3 shared papers)Kavitha Ranganathan (2 shared papers)Casey T. Kraft (1 shared paper)Matthew J. Delano (1 shared paper)Victor W. Wong (1 shared paper)
- Journals
- Medicine (1 paper)Stem Cells Translational Medicine (1 paper)La radiologia medica (1 paper)American Journal Of Pathology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
John Li
11 papers receiving 295 citations
Peers
Comparison fields: 5 of 45
- Rheumatology 122
- Clinical Biochemistry 40
- Infectious Diseases 64
- Nephrology 23
- Applied Microbiology and Biotechnology 6
Countries citing papers authored by John Li
This map shows the geographic impact of John 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 John Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Li more than expected).
Fields of papers citing papers by John Li
This network shows the impact of papers produced by John 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 John Li. The network helps show where John Li may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 | 2010 | 117 | |
| 2 | 2015 | 70 | |
| 3 | 2016 | 44 | |
| 4 | 2018 | 29 | |
| 5 | 2017 | 16 | |
| 6 | 2015 | 12 | |
| 7 | 2017 | 4 | |
| 8 | Effect of beta-adrenoceptor stimulation or blockade on regional myocardial function and regional O2 consumption during myocardial ischemia. | 1988 | 4 |
| 9 | 1992 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 1976 | 1 |
About John Li
John Li is a scholar working on Rheumatology, Surgery, Pathology and Forensic Medicine, Infectious Diseases and Nephrology, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include Heterotopic Ossification and Related Conditions (4 papers), Genetic Syndromes and Imprinting (2 papers), Parasites and Host Interactions (1 paper), Bone and Joint Diseases (1 paper), Amoebic Infections and Treatments (1 paper), Streptococcal Infections and Treatments (1 paper), Parathyroid Disorders and Treatments (1 paper) and Cardiac Ischemia and Reperfusion (1 paper). The work is most often cited by research in Rheumatology (122 citations), Clinical Biochemistry (40 citations), Infectious Diseases (64 citations), Nephrology (23 citations) and Applied Microbiology and Biotechnology (6 citations). John Li has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Arthur Jeng, Shawn Loder, Shailesh Agarwal, Benjamin Lévi, Kavitha Ranganathan, Casey T. Kraft, Matthew J. Delano, Victor W. Wong, Joshua M. Peterson and Shuli Li. Their work appears in journals such as Medicine, Stem Cells Translational Medicine, La radiologia medica, American Journal Of Pathology and PLoS ONE.
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.