Jason Li
Impact in
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Oncology top 2%
Papers in
-
- Speech Recognition and Synthesis 10
- Co-authors
- Saman Halgamuge (9 shared papers)Ian Campbell (15 shared papers)Xiao Yu Wu (14 shared papers)Alexander Tchekhovskoy (3 shared papers)Richard W. Tothill (11 shared papers)Georgina L. Ryland (7 shared papers)Maria Doyle (11 shared papers)Kaushalya Amarasinghe (7 shared papers)
- Journals
- Cancer Research (7 papers)PLoS ONE (5 papers)ACS Nano (3 papers)BMC Bioinformatics (3 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Jason Li
216 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 198
- Cancer Research 922
- Oncology 894
- Hematology 360
- Biomaterials 450
- Pharmaceutical Science 182
Countries citing papers authored by Jason Li
This map shows the geographic impact of Jason 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 Jason Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Li more than expected).
Fields of papers citing papers by Jason Li
This network shows the impact of papers produced by Jason 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 Jason Li. The network helps show where Jason Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason 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 226 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 250 | |
| 2 | 2002 | 242 | |
| 3 | 2017 | 241 | |
| 4 | 2020 | 194 | |
| 5 | 2014 | 193 | |
| 6 | 2009 | 168 | |
| 7 | 2020 | 154 | |
| 8 | 2012 | 147 | |
| 9 | 2019 | 144 | |
| 10 | 2015 | 142 | |
| 11 | 2015 | 132 | |
| 12 | 2014 | 130 | |
| 13 | 2012 | 128 | |
| 14 | 2019 | 122 | |
| 15 | 2011 | 112 | |
| 16 | 2015 | 111 | |
| 17 | 2007 | 104 | |
| 18 | 2013 | 102 | |
| 19 | 2014 | 97 | |
| 20 | 2006 | 88 |
About Jason Li
Jason Li is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Oncology and Computational Theory and Mathematics, having authored 226 papers that have together received 6.4k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (19 papers), Cancer Genomics and Diagnostics (15 papers), Advanced Graph Theory Research (13 papers), Speech Recognition and Synthesis (10 papers), BRCA gene mutations in cancer (8 papers), Network Security and Intrusion Detection (7 papers), Optimization and Search Problems (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Cancer Research (922 citations), Oncology (894 citations), Hematology (360 citations), Biomaterials (450 citations) and Pharmaceutical Science (182 citations). Jason Li has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Saman Halgamuge, Ian Campbell, Xiao Yu Wu, Alexander Tchekhovskoy, Richard W. Tothill, Georgina L. Ryland, Maria Doyle, Kaushalya Amarasinghe, Kylie L. Gorringe and Anatoly Spitkovsky. Their work appears in journals such as Cancer Research, PLoS ONE, ACS Nano, BMC Bioinformatics and Scientific Reports.
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.