Jack Liao
Impact in
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Advanced biosensing and bioanalysis techniques
- Oncology top 10%
- Cancer-related Molecular Pathways
- Viral-associated cancers and disorders
Papers in
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- RNA and protein synthesis mechanisms 4
- DNA Repair Mechanisms 3
- RNA modifications and cancer 3
- DNA and Nucleic Acid Chemistry 3
- Protein Structure and Dynamics 3
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- Enzyme Structure and Function 5
- Co-authors
- C.H. Arrowsmith (9 shared papers)Václav Brázda (6 shared papers)Lucia Hároníková (2 shared papers)Miroslav Fojta (1 shared paper)Ying Lü (2 shared papers)Ayeda Ayed (2 shared papers)A.M. Edwards (4 shared papers)V. Saridakis (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Journal of Molecular Biology (1 paper)Structure (1 paper)Molecular Cell (1 paper)
- Partner nations
- CanadaUnited StatesCzechia
In The Last Decade
Jack Liao
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 912
- Oncology 335
- Immunology 161
- Genetics 120
- Cancer Research 62
Countries citing papers authored by Jack Liao
This map shows the geographic impact of Jack Liao'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 Jack Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Liao more than expected).
Fields of papers citing papers by Jack Liao
This network shows the impact of papers produced by Jack Liao. 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 Jack Liao. The network helps show where Jack Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Liao, 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 | 2005 | 284 | |
| 2 | 2005 | 230 | |
| 3 | 2014 | 207 | |
| 4 | 2004 | 137 | |
| 5 | 2011 | 82 | |
| 6 | 2012 | 53 | |
| 7 | 1998 | 47 | |
| 8 | 2013 | 23 | |
| 9 | 2016 | 15 | |
| 10 | 2009 | 10 | |
| 11 | 2002 | 10 | |
| 12 | 2003 | 8 | |
| 13 | 2020 | 3 | |
| 14 | 2003 | 3 | |
| 15 | 2003 | 2 | |
| 16 | 2002 | 1 |
About Jack Liao
Jack Liao is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Organic Chemistry and Immunology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), RNA and protein synthesis mechanisms (4 papers), Cancer-related Molecular Pathways (3 papers), DNA Repair Mechanisms (3 papers), RNA modifications and cancer (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Protein Structure and Dynamics (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Molecular Biology (912 citations), Oncology (335 citations), Immunology (161 citations), Genetics (120 citations) and Cancer Research (62 citations). Jack Liao has collaborated with scholars based in Canada, United States and Czechia. Frequent co-authors include C.H. Arrowsmith, Václav Brázda, Lucia Hároníková, Miroslav Fojta, Ying Lü, Ayeda Ayed, A.M. Edwards, V. Saridakis, Kathy Shire and Tin Nguyen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Structure and Molecular Cell.
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.