Lida Guo
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
-
- Cell death mechanisms and regulation 3
- Bone Metabolism and Diseases 3
- Retinoids in leukemia and cellular processes 2
- Wnt/β-catenin signaling in development and cancer 2
-
- Cell Adhesion Molecules Research 9
- Co-authors
- Chuanyue Wu (8 shared papers)Ka Chen (4 shared papers)Yongjun Zhang (2 shared papers)Harry C. Blair (7 shared papers)Jingze Liu (3 shared papers)Zhijun Yu (2 shared papers)Irina L. Tourkova (3 shared papers)Hui Wang (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Archives of Pathology & Laboratory Medicine (2 papers)Hepatology (2 papers)Phytotherapy Research (2 papers)Laboratory Investigation (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Lida Guo
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Immunology and Allergy 325
- Molecular Medicine 82
- Cell Biology 220
- Nephrology 89
- Molecular Biology 504
Countries citing papers authored by Lida Guo
This map shows the geographic impact of Lida 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 Lida Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida Guo more than expected).
Fields of papers citing papers by Lida Guo
This network shows the impact of papers produced by Lida 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 Lida Guo. The network helps show where Lida Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Lida 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 121 | |
| 2 | 2012 | 120 | |
| 3 | 2002 | 104 | |
| 4 | 2002 | 97 | |
| 5 | 2007 | 77 | |
| 6 | 2001 | 76 | |
| 7 | 2002 | 75 | |
| 8 | 2009 | 73 | |
| 9 | 2003 | 62 | |
| 10 | 2005 | 53 | |
| 11 | 2005 | 52 | |
| 12 | 2007 | 50 | |
| 13 | 2014 | 37 | |
| 14 | 2014 | 26 | |
| 15 | 2012 | 26 | |
| 16 | 2012 | 25 | |
| 17 | 2013 | 23 | |
| 18 | 2009 | 14 | |
| 19 | 2010 | 14 | |
| 20 | 2010 | 14 |
About Lida Guo
Lida Guo is a scholar working on Molecular Biology, Immunology and Allergy, Cell Biology, Nephrology and Oncology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Cellular Mechanics and Interactions (4 papers), Cell death mechanisms and regulation (3 papers), Bone Metabolism and Diseases (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Liver physiology and pathology (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Immunology and Allergy (325 citations), Molecular Medicine (82 citations), Cell Biology (220 citations), Nephrology (89 citations) and Molecular Biology (504 citations). Lida Guo has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Chuanyue Wu, Ka Chen, Yongjun Zhang, Harry C. Blair, Jingze Liu, Zhijun Yu, Irina L. Tourkova, Hui Wang, Xuejie Chen and Yuhong Hu. Their work appears in journals such as Journal of Biological Chemistry, Archives of Pathology & Laboratory Medicine, Hepatology, Phytotherapy Research and Laboratory Investigation.
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.