Jonathan Chan
Impact in
- Virology top 5%
- HIV Research and Treatment
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- Biomedical Text Mining and Ontologies
- Histone Deacetylase Inhibitors Research
- Muscle Physiology and Disorders
- Ubiquitin and proteasome pathways
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 3
- Histone Deacetylase Inhibitors Research 2
- Bioinformatics and Genomic Networks 2
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- Adversarial Robustness in Machine Learning 2
- Co-authors
- Warner C. Greene (3 shared papers)Zhenguo Wu (2 shared papers)Kewei Ma (1 shared paper)Guang Zhu (1 shared paper)Wanwipa Vongsangnak (1 shared paper)Cheng Zhang (1 shared paper)Asawin Meechai (3 shared papers)Preecha Patumcharoenpol (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Pharmaceutical and Biomedical Analysis (1 paper)Physical Review Letters (1 paper)Immunological Reviews (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- ThailandUnited StatesCanada
In The Last Decade
Jonathan Chan
26 papers receiving 729 citations
Peers
Comparison fields: 5 of 138
- Virology 112
- Molecular Biology 407
- Immunology 99
- Cancer Research 57
- Health Informatics 5
Countries citing papers authored by Jonathan Chan
This map shows the geographic impact of Jonathan Chan'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 Jonathan Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Chan more than expected).
Fields of papers citing papers by Jonathan Chan
This network shows the impact of papers produced by Jonathan Chan. 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 Jonathan Chan. The network helps show where Jonathan Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Chan, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 177 | |
| 2 | 2005 | 136 | |
| 3 | 2012 | 78 | |
| 4 | 2015 | 68 | |
| 5 | 2003 | 66 | |
| 6 | 2013 | 52 | |
| 7 | 2017 | 35 | |
| 8 | 2023 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 1973 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2024 | 12 | |
| 13 | 2021 | 9 | |
| 14 | 2011 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2012 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2003 | 3 | |
| 19 | 2012 | 3 | |
| 20 | 2010 | 2 |
About Jonathan Chan
Jonathan Chan is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Microbiology and Immunology, having authored 27 papers that have together received 745 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Ocular Surface and Contact Lens (2 papers), Adversarial Robustness in Machine Learning (2 papers), HIV/AIDS drug development and treatment (2 papers), COVID-19 diagnosis using AI (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Virology (112 citations), Molecular Biology (407 citations), Immunology (99 citations), Cancer Research (57 citations) and Health Informatics (5 citations). Jonathan Chan has collaborated with scholars based in Thailand, United States and Canada. Frequent co-authors include Warner C. Greene, Zhenguo Wu, Kewei Ma, Guang Zhu, Wanwipa Vongsangnak, Cheng Zhang, Asawin Meechai, Preecha Patumcharoenpol, Bairong Shen and Fei Zhu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Pharmaceutical and Biomedical Analysis, Physical Review Letters, Immunological Reviews and Journal of Biomedical Informatics.
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.