Fei Gu
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Molecular Biology top 5%
- Congenital heart defects research
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Epigenetics and DNA Methylation 10
- Signaling Pathways in Disease 7
- Genomics and Chromatin Dynamics 6
- Congenital heart defects research 6
- Machine Learning in Bioinformatics 5
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- Protease and Inhibitor Mechanisms 9
- Co-authors
- William T. Pu (10 shared papers)Qing Ma (9 shared papers)Pingzhu Zhou (7 shared papers)Jinghai Chen (5 shared papers)Zhiqiang Lin (6 shared papers)Da-Zhi Wang (5 shared papers)Alexander von Gise (2 shared papers)Lingyun Sun (8 shared papers)
- Journals
- Journal of Medicinal Chemistry (8 papers)Nature Communications (4 papers)Oncogene (3 papers)Circulation Research (3 papers)Clinical Rheumatology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Gu
98 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 684
- Molecular Biology 2.1k
- Genetics 245
- Cell Biology 363
- Oncology 491
Countries citing papers authored by Fei Gu
This map shows the geographic impact of Fei Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Gu more than expected).
Fields of papers citing papers by Fei Gu
This network shows the impact of papers produced by Fei Gu. 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 Gu. The network helps show where Fei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Gu, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 350 | |
| 2 | 2014 | 268 | |
| 3 | 2019 | 232 | |
| 4 | 2014 | 145 | |
| 5 | 2017 | 104 | |
| 6 | 2013 | 103 | |
| 7 | 2019 | 101 | |
| 8 | 2012 | 101 | |
| 9 | 2017 | 96 | |
| 10 | 2014 | 92 | |
| 11 | 2000 | 86 | |
| 12 | 1999 | 80 | |
| 13 | 2020 | 78 | |
| 14 | 2010 | 76 | |
| 15 | 1998 | 72 | |
| 16 | 1998 | 72 | |
| 17 | 2008 | 66 | |
| 18 | 2000 | 62 | |
| 19 | 2006 | 59 | |
| 20 | 2001 | 57 |
About Fei Gu
Fei Gu is a scholar working on Molecular Biology, Cancer Research, Oncology, Rheumatology and Genetics, having authored 106 papers that have together received 3.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Protease and Inhibitor Mechanisms (9 papers), Peptidase Inhibition and Analysis (9 papers), Signaling Pathways in Disease (7 papers), Genomics and Chromatin Dynamics (6 papers), Congenital heart defects research (6 papers), Machine Learning in Bioinformatics (5 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). The work is most often cited by research in Cancer Research (684 citations), Molecular Biology (2.1k citations), Genetics (245 citations), Cell Biology (363 citations) and Oncology (491 citations). Fei Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include William T. Pu, Qing Ma, Pingzhu Zhou, Jinghai Chen, Zhiqiang Lin, Da-Zhi Wang, Alexander von Gise, Lingyun Sun, Bin Zhou and Biswanath De. Their work appears in journals such as Journal of Medicinal Chemistry, Nature Communications, Oncogene, Circulation Research and Clinical Rheumatology.
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.