Liang Guo
- Molecular Biology top 1%
- Microbial Metabolic Engineering and Bioproduction 37
- Enzyme Catalysis and Immobilization 19
- RNA and protein synthesis mechanisms 11
- Protein Structure and Dynamics 6
- Immunology top 2%
- Biochemistry top 2%
- Biomaterials top 2%
- Cell Biology top 2%
-
- Bacterial Genetics and Biotechnology 12
-
- Biofuel production and bioconversion 10
-
- Surfactants and Colloidal Systems 9
-
- Enzyme Structure and Function 9
- Co-authors
- B. Tracy NixonLi LiuCong GaoBaoyu ChenPilong LiQiu‐Xing JiangPaul S. RussoSalman F. Banani
- Journals
- Biotechnology and Bioengineering (9 papers)Metabolic Engineering (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Liang Guo
110 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 4.2k
- Immunology 972
- Biochemistry 268
- Biomaterials 461
- Cell Biology 539
Countries citing papers authored by Liang Guo
This map shows the geographic impact of Liang Guo'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 Liang Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Guo more than expected).
Fields of papers citing papers by Liang Guo
This network shows the impact of papers produced by Liang Guo. 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 Liang Guo. The network helps show where Liang Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Guo, 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 | 2025 | 4 | |
| 2 | 2025 | 5 | |
| 3 | 2023 | 29 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 30 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 30 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 19 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 77 | |
| 16 | 2010 | 43 | |
| 17 | 2009 | 3 | |
| 18 | 2007 | 51 | |
| 19 | FOXP3 Controls Regulatory T Cell Function through Cooperation with NFATbreakdown → | 2006 | 937 |
| 20 | Gelation and micelle structure changes of aqueous polymer solutions | 2003 | 2 |
About Liang Guo
Liang Guo is a scholar working on Structural Biology, Molecular Biology, Biochemistry, Biomaterials and Genetics, having authored 114 papers that have together received 6.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (37 papers), Enzyme Catalysis and Immobilization (19 papers), Bacterial Genetics and Biotechnology (12 papers), RNA and protein synthesis mechanisms (11 papers), Biofuel production and bioconversion (10 papers), Surfactants and Colloidal Systems (9 papers), Enzyme Structure and Function (9 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Molecular Biology (4.2k citations), Immunology (972 citations), Biochemistry (268 citations), Biomaterials (461 citations) and Cell Biology (539 citations). Liang Guo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include B. Tracy Nixon, Li Liu, Cong Gao, Baoyu Chen, Pilong Li, Qiu‐Xing Jiang, Paul S. Russo, Salman F. Banani, David S. King and Soyeon Kim. Their work appears in journals such as Biotechnology and Bioengineering, Metabolic Engineering, Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Chemical Society.
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.