Li Guo
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
-
- RNA Research and Splicing 27
- Circular RNAs in diseases 22
- RNA modifications and cancer 22
- Bioinformatics and Genomic Networks 5
- CRISPR and Genetic Engineering 3
-
- MicroRNA in disease regulation 60
- Cancer-related molecular mechanisms research 44
- Co-authors
- Zuhong Lu (15 shared papers)Feng Chen (21 shared papers)Tingming Liang (38 shared papers)Qinyu Ge (9 shared papers)Sheng Yang (19 shared papers)Hailing Li (7 shared papers)Qian Wu (10 shared papers)Yang Zhao (11 shared papers)
- Journals
- Molecular Biology Reports (8 papers)Gene (8 papers)BioMed Research International (7 papers)PLoS ONE (7 papers)Computational and Structural Biotechnology Journal (6 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Li Guo
112 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 145
- Cancer Research 1.6k
- Obstetrics and Gynecology 216
- Molecular Biology 1.8k
- Immunology 275
- Toxicology 32
Countries citing papers authored by Li Guo
This map shows the geographic impact of Li 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 Li Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Guo more than expected).
Fields of papers citing papers by Li Guo
This network shows the impact of papers produced by Li 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 Li Guo. The network helps show where Li Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 209 | |
| 2 | 2010 | 184 | |
| 3 | 2011 | 121 | |
| 4 | 2013 | 115 | |
| 5 | 2012 | 109 | |
| 6 | 1994 | 105 | |
| 7 | 2017 | 95 | |
| 8 | 2015 | 93 | |
| 9 | 2014 | 91 | |
| 10 | 2012 | 87 | |
| 11 | 2011 | 83 | |
| 12 | 2012 | 76 | |
| 13 | 2010 | 67 | |
| 14 | 2014 | 53 | |
| 15 | 2011 | 52 | |
| 16 | 2014 | 50 | |
| 17 | 2016 | 47 | |
| 18 | 2012 | 41 | |
| 19 | 2010 | 41 | |
| 20 | 2016 | 40 |
About Li Guo
Li Guo is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Surgery, having authored 124 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (60 papers), Cancer-related molecular mechanisms research (44 papers), RNA Research and Splicing (27 papers), Circular RNAs in diseases (22 papers), RNA modifications and cancer (22 papers), Bioinformatics and Genomic Networks (5 papers), CRISPR and Genetic Engineering (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Obstetrics and Gynecology (216 citations), Molecular Biology (1.8k citations), Immunology (275 citations) and Toxicology (32 citations). Li Guo has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zuhong Lu, Feng Chen, Tingming Liang, Qinyu Ge, Sheng Yang, Hailing Li, Qian Wu, Yang Zhao, Jiafeng Lu and Jiafeng Yu. Their work appears in journals such as Molecular Biology Reports, Gene, BioMed Research International, PLoS ONE and Computational and Structural Biotechnology 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.