Liying Guo
- Immunology top 0.5%
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 12
- IL-33, ST2, and ILC Pathways 9
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- Carbon dioxide utilization in catalysis 12
- Immunology and Allergy top 5%
- Physiology top 5%
- Dermatology top 5%
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- biodegradable polymer synthesis and properties 13
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- Masonry and Concrete Structural Analysis 8
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- Cytokine Signaling Pathways and Interactions 8
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- Catalysis for Biomass Conversion 8
- Co-authors
- William E. PaulJinfang ZhuJane Hu‐LiJavier Cote-SierraJoseph F. UrbanCynthia J. WatsonHidehiro YamaneXi Chen
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (5 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Liying Guo
115 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Immunology 3.4k
- Process Chemistry and Technology 95
- Immunology and Allergy 191
- Physiology 748
- Dermatology 174
Countries citing papers authored by Liying Guo
This map shows the geographic impact of Liying 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 Liying Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liying Guo more than expected).
Fields of papers citing papers by Liying Guo
This network shows the impact of papers produced by Liying 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 Liying Guo. The network helps show where Liying Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liying 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 | 1 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 16 | |
| 12 | 2016 | 39 | |
| 13 | 2013 | 45 | |
| 14 | 2012 | 260 | |
| 15 | Study on the preparation and strength influence of foamed concrete | 2011 | 2 |
| 16 | 2010 | 1 | |
| 17 | Research Developments of Biotemplate Technology on Preparation of Porous Ceramics | 2009 | 0 |
| 18 | Influence of ionic liquid and fir powder on properties of phenol-formaldehyde adhesive | 2009 | 1 |
| 19 | 2008 | 32 | |
| 20 | 2004 | 66 |
About Liying Guo
Liying Guo is a scholar working on Process Chemistry and Technology, Catalysis and Biomaterials, having authored 120 papers that have together received 5.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), biodegradable polymer synthesis and properties (13 papers), Immune Cell Function and Interaction (12 papers), Carbon dioxide utilization in catalysis (12 papers), IL-33, ST2, and ILC Pathways (9 papers), Masonry and Concrete Structural Analysis (8 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Catalysis for Biomass Conversion (8 papers). The work is most often cited by research in Immunology (3.4k citations), Process Chemistry and Technology (95 citations) and Immunology and Allergy (191 citations). Liying Guo has collaborated with scholars based in China, United States and Finland. Frequent co-authors include William E. Paul, Jinfang Zhu, Jane Hu‐Li, Javier Cote-Sierra, Joseph F. Urban, Cynthia J. Watson, Hidehiro Yamane, Xi Chen, Yuefeng Huang and Keji Zhao. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.