David Liao
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
- Genetics 15
- Evolution and Genetic Dynamics 10
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- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 2
- Co-authors
- Robert H. Austin (11 shared papers)Guillaume Lambert (8 shared papers)Kristelle Robin (2 shared papers)Chih-kuan Tung (2 shared papers)Qiucen Zhang (2 shared papers)Hyunsung Kim (1 shared paper)Nader Pourmand (1 shared paper)Thea D. Tlsty (6 shared papers)
- Journals
- Interface Focus (3 papers)Diabetes Care (2 papers)Physical Biology (2 papers)The Laryngoscope (2 papers)Journal of Bacteriology (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
David Liao
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Molecular Medicine 113
- Modeling and Simulation 90
- Otorhinolaryngology 65
- Genetics 306
- Endocrinology 33
Countries citing papers authored by David Liao
This map shows the geographic impact of David 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 David Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Liao more than expected).
Fields of papers citing papers by David Liao
This network shows the impact of papers produced by David 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 David Liao. The network helps show where David Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 420 | |
| 2 | 2011 | 127 | |
| 3 | 2019 | 84 | |
| 4 | 2010 | 76 | |
| 5 | 2002 | 69 | |
| 6 | 2001 | 52 | |
| 7 | 2008 | 49 | |
| 8 | 2001 | 42 | |
| 9 | 2010 | 29 | |
| 10 | 2014 | 23 | |
| 11 | 2010 | 18 | |
| 12 | 2012 | 18 | |
| 13 | 2011 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2012 | 15 | |
| 16 | 2011 | 15 | |
| 17 | 1996 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2011 | 14 | |
| 20 | 2021 | 13 |
About David Liao
David Liao is a scholar working on Genetics, Molecular Biology, Sociology and Political Science, Modeling and Simulation and Biomedical Engineering, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (10 papers), Mathematical Biology Tumor Growth (5 papers), Evolutionary Game Theory and Cooperation (5 papers), Gene Regulatory Network Analysis (4 papers), Head and Neck Cancer Studies (3 papers), Single-cell and spatial transcriptomics (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Molecular Medicine (113 citations), Modeling and Simulation (90 citations), Otorhinolaryngology (65 citations), Genetics (306 citations) and Endocrinology (33 citations). David Liao has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Robert H. Austin, Guillaume Lambert, Kristelle Robin, Chih-kuan Tung, Qiucen Zhang, Hyunsung Kim, Nader Pourmand, Thea D. Tlsty, Beverly M. Emerson and Vikas Mehta. Their work appears in journals such as Interface Focus, Diabetes Care, Physical Biology, The Laryngoscope and Journal of Bacteriology.
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.