Chen Liao
Impact in
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- Gut microbiota and health
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
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- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
Papers in
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- Clostridium difficile and Clostridium perfringens research 5
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- Gene Regulatory Network Analysis 9
- Gut microbiota and health 8
- Microbial Metabolic Engineering and Bioproduction 7
- Bioinformatics and Genomic Networks 3
- Journals
- Nature Microbiology (2 papers)PLoS Computational Biology (2 papers)Scientific Data (2 papers)Nature Medicine (1 paper)The ISME Journal (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Chen Liao
32 papers receiving 657 citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 421
- Genetics 102
- Infectious Diseases 67
- Food Science 59
- Water Science and Technology 39
Countries citing papers authored by Chen Liao
This map shows the geographic impact of Chen 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 Chen Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Liao more than expected).
Fields of papers citing papers by Chen Liao
This network shows the impact of papers produced by Chen 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 Chen Liao. The network helps show where Chen Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen 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 | 2026 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 24 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 33 | |
| 7 | 2023 | 38 | |
| 8 | 2022 | 83 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 29 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 46 | |
| 16 | 2019 | 14 | |
| 17 | 2018 | 16 | |
| 18 | 2018 | 36 | |
| 19 | 2017 | 74 | |
| 20 | 2016 | 40 |
About Chen Liao
Chen Liao is a scholar working on Infectious Diseases, Molecular Biology, Ecological Modeling, Periodontics and Molecular Medicine, having authored 33 papers that have together received 662 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Gut microbiota and health (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Microbial Community Ecology and Physiology (3 papers), Bioinformatics and Genomic Networks (3 papers), Molecular Communication and Nanonetworks (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Molecular Biology (421 citations), Genetics (102 citations), Infectious Diseases (67 citations), Food Science (59 citations) and Water Science and Technology (39 citations). Chen Liao has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Ting Lu, Andrew E. Blanchard, João B. Xavier, Wentao Kong, Yang‐Yu Liu, Can Chen, Lei Dai, Hongbin Liu, Zhenduo Zhu and Seung-Oh Seo. Their work appears in journals such as Nature Microbiology, PLoS Computational Biology, Scientific Data, Nature Medicine and The ISME Journal.
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.