Chen Li
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
Papers in
-
- Machine Learning in Bioinformatics 20
- Genomics and Phylogenetic Studies 18
- RNA and protein synthesis mechanisms 13
- Glycosylation and Glycoproteins Research 11
- Immunology 26
- Co-authors
- Jiangning Song (45 shared papers)Fuyi Li (17 shared papers)Geoffrey I. Webb (17 shared papers)Tatsuya Akutsu (12 shared papers)Anthony W. Purcell (16 shared papers)Trevor Lithgow (7 shared papers)David M. Lubman (4 shared papers)André Leier (7 shared papers)
- Journals
- Briefings in Bioinformatics (13 papers)Scientific Reports (6 papers)Computational and Structural Biotechnology Journal (6 papers)Bioinformatics (5 papers)Fish & Shellfish Immunology (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Chen Li
185 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 150
- Molecular Medicine 241
- Molecular Biology 2.2k
- Endocrinology 121
- Microbiology 118
- Immunology 376
Countries citing papers authored by Chen Li
This map shows the geographic impact of Chen 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 Chen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Li more than expected).
Fields of papers citing papers by Chen Li
This network shows the impact of papers produced by Chen 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 Chen Li. The network helps show where Chen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen 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 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 196 | |
| 2 | 2015 | 161 | |
| 3 | 2018 | 147 | |
| 4 | 2018 | 126 | |
| 5 | 2018 | 109 | |
| 6 | 2008 | 98 | |
| 7 | 2018 | 85 | |
| 8 | 2020 | 79 | |
| 9 | 2016 | 76 | |
| 10 | 2009 | 72 | |
| 11 | 2023 | 65 | |
| 12 | 2019 | 64 | |
| 13 | 2022 | 63 | |
| 14 | 2008 | 61 | |
| 15 | 2016 | 60 | |
| 16 | 2010 | 57 | |
| 17 | 2021 | 55 | |
| 18 | 2017 | 55 | |
| 19 | 2020 | 54 | |
| 20 | 2015 | 51 |
About Chen Li
Chen Li is a scholar working on Molecular Biology, Immunology, Genetics, Molecular Medicine and Plant Science, having authored 197 papers that have together received 3.8k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (20 papers), Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (13 papers), Antibiotic Resistance in Bacteria (12 papers), Glycosylation and Glycoproteins Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Computational Drug Discovery Methods (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Molecular Medicine (241 citations), Molecular Biology (2.2k citations), Endocrinology (121 citations), Microbiology (118 citations) and Immunology (376 citations). Chen Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiangning Song, Fuyi Li, Geoffrey I. Webb, Tatsuya Akutsu, Anthony W. Purcell, Trevor Lithgow, David M. Lubman, André Leier, Tatiana T. Marquez‐Lago and Roger J. Daly. Their work appears in journals such as Briefings in Bioinformatics, Scientific Reports, Computational and Structural Biotechnology Journal, Bioinformatics and Fish & Shellfish Immunology.
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.