Jun Li
Impact in
- Hepatology top 0.5%
- Liver physiology and pathology
- Cancer Research top 1%
- MicroRNA in disease regulation
Papers in
- Surgery 86
- Tissue Engineering and Regenerative Medicine 25
- Co-authors
- Lanjuan Li (31 shared papers)Hongcui Cao (30 shared papers)Steven Gao (23 shared papers)Gao Wei (21 shared papers)Pauline A. Waight (1 shared paper)Brent Taylor (1 shared paper)Elizabeth Miller (1 shared paper)Paddy Farrington (1 shared paper)
- Journals
- IEEE Transactions on Antennas and Propagation (11 papers)Scientific Reports (11 papers)PLoS ONE (10 papers)Frontiers in Medicine (8 papers)Liver International (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Li
540 papers receiving 11.3k citations
Jun Li's Hit Papers
Peers
Comparison fields: 5 of 207
- Hepatology 992
- Cancer Research 1.0k
- Genetics 596
- Biomaterials 648
- Molecular Biology 3.0k
Countries citing papers authored by Jun Li
This map shows the geographic impact of Jun 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 Jun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Li more than expected).
Fields of papers citing papers by Jun Li
This network shows the impact of papers produced by Jun 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 Jun Li. The network helps show where Jun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 584 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Autism and measles, mumps, and rubella vaccine: no epidemiological evidence for a causal association Hit paper breakdown → | 1999 | 572 |
| 2 | 2008 | 330 | |
| 3 | 2019 | 175 | |
| 4 | 2019 | 172 | |
| 5 | 2007 | 140 | |
| 6 | 2016 | 138 | |
| 7 | 2018 | 131 | |
| 8 | 2007 | 130 | |
| 9 | 2012 | 129 | |
| 10 | 2018 | 125 | |
| 11 | 2013 | 120 | |
| 12 | 2013 | 117 | |
| 13 | 2013 | 109 | |
| 14 | 2003 | 103 | |
| 15 | 2017 | 101 | |
| 16 | 2012 | 100 | |
| 17 | 2018 | 100 | |
| 18 | 2020 | 98 | |
| 19 | 2017 | 98 | |
| 20 | 2011 | 97 |
About Jun Li
Jun Li is a scholar working on Molecular Biology, Surgery, Epidemiology, Hepatology and Aerospace Engineering, having authored 584 papers that have together received 11.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (47 papers), Liver physiology and pathology (34 papers), Antenna Design and Analysis (34 papers), MicroRNA in disease regulation (31 papers), Mesenchymal stem cell research (26 papers), Advanced Antenna and Metasurface Technologies (25 papers), Tissue Engineering and Regenerative Medicine (25 papers) and Hepatitis B Virus Studies (21 papers). The work is most often cited by research in Hepatology (992 citations), Cancer Research (1.0k citations), Genetics (596 citations), Biomaterials (648 citations) and Molecular Biology (3.0k citations) Jun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lanjuan Li, Hongcui Cao, Steven Gao, Gao Wei, Pauline A. Waight, Brent Taylor, Elizabeth Miller, Paddy Farrington, XU Jia-dong and Guilherme Lepski. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, Scientific Reports, PLoS ONE, Frontiers in Medicine and Liver 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.