Gary Liu
Impact in
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- Antibiotic Use and Resistance
- Health Informatics top 10%
Papers in
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- Congenital heart defects research 3
- Biochemical and Structural Characterization 2
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- Neurobiology and Insect Physiology Research 3
- Co-authors
- Takashi Mikawa (3 shared papers)Michael Bressan (3 shared papers)Denise B. Catacutan (2 shared papers)Kyle Swanson (2 shared papers)J Stokes (2 shared papers)Autumn Arnold (2 shared papers)Jonathan Stokes (3 shared papers)James Zou (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Nature Communications (2 papers)Nature Microbiology (1 paper)Science (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Gary Liu
22 papers receiving 654 citations
Gary Liu's Hit Papers
Peers
Comparison fields: 5 of 116
- Applied Microbiology and Biotechnology 30
- Health Informatics 19
- Molecular Medicine 52
- Sensory Systems 35
- Microbiology 42
Countries citing papers authored by Gary Liu
This map shows the geographic impact of Gary Liu'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 Gary Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Liu more than expected).
Fields of papers citing papers by Gary Liu
This network shows the impact of papers produced by Gary Liu. 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 Gary Liu. The network helps show where Gary Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Liu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii Hit paper breakdown → | 2023 | 210 |
| 2 | 2013 | 113 | |
| 3 | Generative AI for designing and validating easily synthesizable and structurally novel antibiotics Hit paper breakdown → | 2024 | 97 |
| 4 | 2021 | 31 | |
| 5 | 2019 | 27 | |
| 6 | 2025 | 24 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 20 | |
| 9 | 2018 | 20 | |
| 10 | 2022 | 17 | |
| 11 | 2023 | 17 | |
| 12 | 2001 | 15 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 9 | |
| 15 | Overlap of computation and communication on shared-memory networks-of-workstations | 2001 | 9 |
| 16 | 2018 | 6 | |
| 17 | 2025 | 4 | |
| 18 | 1998 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2016 | 2 |
About Gary Liu
Gary Liu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 669 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (4 papers), Antimicrobial Peptides and Activities (3 papers), Congenital heart defects research (3 papers), Neurobiology and Insect Physiology Research (3 papers), Parallel Computing and Optimization Techniques (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Biochemical and Structural Characterization (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (30 citations), Health Informatics (19 citations), Molecular Medicine (52 citations), Sensory Systems (35 citations) and Microbiology (42 citations). Gary Liu has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Takashi Mikawa, Michael Bressan, Denise B. Catacutan, Kyle Swanson, J Stokes, Autumn Arnold, Jonathan Stokes, James Zou, Tarek S. Abdelrahman and Michael G. Surette. Their work appears in journals such as Journal of Visualized Experiments, Nature Communications, Nature Microbiology, Science and Nature Chemical Biology.
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.