Gary Liu

985 total citations · 3 hit papers
21 papers, 594 citations indexed

About

Gary Liu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Gary Liu has authored 21 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Sensory Systems. Recurrent topics in Gary Liu's work include Olfactory and Sensory Function Studies (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Computational Drug Discovery Methods (3 papers). Gary Liu is often cited by papers focused on Olfactory and Sensory Function Studies (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Computational Drug Discovery Methods (3 papers). Gary Liu collaborates with scholars based in United States, Canada and Australia. Gary Liu's co-authors include Takashi Mikawa, Michael Bressan, J Stokes, Kyle Swanson, Denise B. Catacutan, Jonathan Stokes, James Zou, Brian K. Coombes, Anush Chiappino-Pepe and Regina Barzilay and has published in prestigious journals such as Science, Nature Communications and Journal of Hepatology.

In The Last Decade

Gary Liu

20 papers receiving 583 citations

Hit Papers

Deep learning-guided discovery of an antibiotic targeting... 2023 2026 2024 2025 2023 2024 2025 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gary Liu United States 13 285 88 52 50 49 21 594
Zi-Lin Li China 15 224 0.8× 20 0.2× 25 0.5× 10 0.2× 55 1.1× 47 636
Deepak Kumar Vijaya Kumar United States 6 521 1.8× 71 0.8× 10 0.2× 12 0.2× 75 1.5× 11 1.4k
Hans‐Georg Breitinger Egypt 19 562 2.0× 19 0.2× 28 0.5× 9 0.2× 275 5.6× 58 1.0k
Jan Maes Belgium 11 234 0.8× 16 0.2× 36 0.7× 16 0.3× 91 1.9× 23 802
Yuxuan Hu China 13 249 0.9× 24 0.3× 178 3.4× 12 0.2× 54 1.1× 28 665
Guillermo Rodrigo Spain 23 1.1k 3.7× 32 0.4× 44 0.8× 10 0.2× 30 0.6× 82 1.6k
Kundlik Gadhave India 16 304 1.1× 35 0.4× 8 0.2× 7 0.1× 41 0.8× 32 677
Yingzhu Chen China 20 297 1.0× 12 0.1× 15 0.3× 17 0.3× 68 1.4× 58 909
Youwen Zhang China 11 245 0.9× 9 0.1× 80 1.5× 93 1.9× 105 2.1× 26 404
Raquel M. Silva Portugal 20 547 1.9× 10 0.1× 76 1.5× 14 0.3× 63 1.3× 56 1.3k

Countries citing papers authored by Gary Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gary Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Liu. A scholar is included among the top collaborators of Gary Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary Liu. Gary Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Brizuela, Carlos A., Gary Liu, J Stokes, & César de la Fuente‐Núñez. (2025). AI Methods for Antimicrobial Peptides: Progress and Challenges. Microbial Biotechnology. 18(1). e70072–e70072. 20 indexed citations breakdown →
2.
Liu, Gary, et al.. (2025). Explainable artificial intelligence evolves antimicrobial peptides. Nature Microbiology. 10(2). 267–269. 3 indexed citations
3.
Swanson, Kyle, et al.. (2024). Generative AI for designing and validating easily synthesizable and structurally novel antibiotics. Nature Machine Intelligence. 6(3). 338–353. 83 indexed citations breakdown →
4.
Liu, Gary, Denise B. Catacutan, Kyle Swanson, et al.. (2023). Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii. Nature Chemical Biology. 19(11). 1342–1350. 183 indexed citations breakdown →
5.
Liu, Gary, et al.. (2023). Applications of machine learning in microbial natural product drug discovery. Expert Opinion on Drug Discovery. 18(11). 1259–1272. 13 indexed citations
6.
Wiese, Andrew D., et al.. (2022). Provider perceptions of telehealth and in-person exposure and response prevention for obsessive–compulsive disorder. Psychiatry Research. 313. 114610–114610. 16 indexed citations
7.
Liu, Gary & Jonathan Stokes. (2022). A brief guide to machine learning for antibiotic discovery. Current Opinion in Microbiology. 69. 102190–102190. 23 indexed citations
8.
Liu, Gary & Nathan Malkin. (2022). Effects of Privacy Permissions on User Choices in Voice Assistant App Stores. Proceedings on Privacy Enhancing Technologies. 2022(4). 421–439. 3 indexed citations
9.
Ung, Kevin, Teng-Wei Huang, Brittney Lozzi, et al.. (2021). Olfactory bulb astrocytes mediate sensory circuit processing through Sox9 in the mouse brain. Nature Communications. 12(1). 5230–5230. 30 indexed citations
10.
Jo, Ju-Yeon, Junsung Woo, Jong Min Choi, et al.. (2021). Regional heterogeneity of astrocyte morphogenesis dictated by the formin protein, Daam2, modifies circuit function. EMBO Reports. 22(12). e53200–e53200. 12 indexed citations
11.
Stein, Penelope E., D. Rees, Karl E. Anderson, et al.. (2020). A phase 1/2 open label extension study of givosiran, an investigational RNAi therapeutic, in patients with acute intermittent porphyria. Journal of Hepatology. 73. S553–S554. 9 indexed citations
12.
Buissonnière-Ariza, Valérie La, Kate D. Fitzgerald, Avner Meoded, et al.. (2020). Neural correlates of cognitive behavioral therapy response in youth with negative valence disorders: A systematic review of the literature. Journal of Affective Disorders. 282. 1288–1307. 19 indexed citations
13.
Liu, Gary, Emmanouil Froudarakis, Jay Patel, et al.. (2019). Target specific functions of EPL interneurons in olfactory circuits. Nature Communications. 10(1). 3369–3369. 25 indexed citations
14.
Bressan, Michael, Jonathan D. Louie, Gary Liu, et al.. (2018). Dynamic Cellular Integration Drives Functional Assembly of the Heart’s Pacemaker Complex. Cell Reports. 23(8). 2283–2291. 18 indexed citations
15.
Liu, Gary, et al.. (2018). An Objective and Reproducible Test of Olfactory Learning and Discrimination in Mice. Journal of Visualized Experiments. 5 indexed citations
16.
Liu, Gary, et al.. (2018). An Objective and Reproducible Test of Olfactory Learning and Discrimination in Mice. Journal of Visualized Experiments. 2 indexed citations
17.
Bressan, Michael, Gary Liu, & Takashi Mikawa. (2013). Early Mesodermal Cues Assign Avian Cardiac Pacemaker Fate Potential in a Tertiary Heart Field. Science. 340(6133). 744–748. 108 indexed citations
18.
Abdelrahman, Tarek S. & Gary Liu. (2001). Overlap of computation and communication on shared-memory networks-of-workstations. Cluster Computing. 35–45. 7 indexed citations
19.
Liu, Gary & Tarek S. Abdelrahman. (2001). Computation-Communication Overlap on Network-of-Workstation Multiprocessors. 128(7). 1156–64. 12 indexed citations
20.
Liu, Gary & S.M. Mahdavian. (1998). Application of computer aided upper bound method in forging and extrusion processes. Metals and Materials. 4(4). 956–960. 3 indexed citations

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.

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