Fei Guo
Impact in
- Molecular Biology top 2%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA modifications and cancer
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
-
- Machine Learning in Bioinformatics 66
- RNA and protein synthesis mechanisms 29
- Bioinformatics and Genomic Networks 25
- Genomics and Phylogenetic Studies 23
- Protein Structure and Dynamics 23
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- Computational Drug Discovery Methods 40
- Co-authors
- Jijun Tang (95 shared papers)Yijie Ding (61 shared papers)Quan Zou (31 shared papers)Limin Jiang (17 shared papers)Leyi Wei (4 shared papers)Yinan Shen (2 shared papers)Pengwei Xing (2 shared papers)Ran Su (2 shared papers)
- Journals
- Briefings in Bioinformatics (18 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (14 papers)Frontiers in Genetics (6 papers)International Journal of Molecular Sciences (5 papers)BMC Genomics (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Guo
272 papers receiving 5.5k citations
Fei Guo's Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 3.7k
- Cancer Research 648
- Computational Theory and Mathematics 828
- Microbiology 160
- Small Animals 147
Countries citing papers authored by Fei Guo
This map shows the geographic impact of Fei 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 Fei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Guo more than expected).
Fields of papers citing papers by Fei Guo
This network shows the impact of papers produced by Fei 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 Fei Guo. The network helps show where Fei Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 289 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 214 | |
| 2 | 2019 | 160 | |
| 3 | 2018 | 138 | |
| 4 | 2020 | 132 | |
| 5 | 2016 | 126 | |
| 6 | 2014 | 118 | |
| 7 | 2023 | 118 | |
| 8 | 2000 | 118 | |
| 9 | 2020 | 96 | |
| 10 | 2019 | 89 | |
| 11 | 2018 | 87 | |
| 12 | 2017 | 79 | |
| 13 | 2018 | 77 | |
| 14 | 2021 | 76 | |
| 15 | 2021 | 72 | |
| 16 | 2020 | 69 | |
| 17 | 2021 | 66 | |
| 18 | 2017 | 62 | |
| 19 | 2019 | 61 | |
| 20 | 2019 | 59 |
About Fei Guo
Fei Guo is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Computer Vision and Pattern Recognition and Epidemiology, having authored 289 papers that have together received 5.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (66 papers), Computational Drug Discovery Methods (40 papers), RNA and protein synthesis mechanisms (29 papers), Bioinformatics and Genomic Networks (25 papers), Genomics and Phylogenetic Studies (23 papers), Protein Structure and Dynamics (23 papers), Cancer-related molecular mechanisms research (18 papers) and Brucella: diagnosis, epidemiology, treatment (14 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Cancer Research (648 citations), Computational Theory and Mathematics (828 citations), Microbiology (160 citations) and Small Animals (147 citations). Fei Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jijun Tang, Yijie Ding, Quan Zou, Limin Jiang, Leyi Wei, Yinan Shen, Pengwei Xing, Ran Su, Wenying He and Prayag Tiwari. Their work appears in journals such as Briefings in Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Frontiers in Genetics, International Journal of Molecular Sciences and BMC Genomics.
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.