Ge‐Yi Fu
Impact in
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in ⓘ
-
- Genomics and Phylogenetic Studies 24
- Identification and Quantification in Food 3
- Ecology 25
- Microbial Community Ecology and Physiology 22
- Bacteriophages and microbial interactions 6
- Co-authors
- Cong Sun (19 shared papers)Min Wu (20 shared papers)Yue Su (11 shared papers)Zhen‐Ming Chi (2 shared papers)Zhe Chi (2 shared papers)Guang-Lei Liu (2 shared papers)Xiaoyun Yu (11 shared papers)Shuaibo Han (9 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (17 papers)Frontiers in Marine Science (5 papers)Current Microbiology (4 papers)Scientific Reports (1 paper)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ge‐Yi Fu
32 papers receiving 405 citations
Peers
Comparison fields: 5 of 61
- Ecology 209
- Biotechnology 68
- Molecular Biology 280
- Microbiology 2
- Oceanography 31
Countries citing papers authored by Ge‐Yi Fu
This map shows the geographic impact of Ge‐Yi Fu'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 Ge‐Yi Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge‐Yi Fu more than expected).
Fields of papers citing papers by Ge‐Yi Fu
This network shows the impact of papers produced by Ge‐Yi Fu. 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 Ge‐Yi Fu. The network helps show where Ge‐Yi Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge‐Yi Fu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 83 | |
| 2 | 2015 | 50 | |
| 3 | 2014 | 34 | |
| 4 | 2017 | 27 | |
| 5 | 2016 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 21 | |
| 8 | 2023 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2023 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2023 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2018 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2017 | 4 |
About Ge‐Yi Fu
Ge‐Yi Fu is a scholar working on Molecular Biology, Ecology, Environmental Chemistry, Plant Science and Pharmacology, having authored 35 papers that have together received 407 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), Microbial Community Ecology and Physiology (22 papers), Bacteriophages and microbial interactions (6 papers), Methane Hydrates and Related Phenomena (6 papers), Microbial Natural Products and Biosynthesis (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Identification and Quantification in Food (3 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Ecology (209 citations), Biotechnology (68 citations), Molecular Biology (280 citations), Microbiology (2 citations) and Oceanography (31 citations). Ge‐Yi Fu has collaborated with scholars based in China and United States. Frequent co-authors include Cong Sun, Min Wu, Yue Su, Zhen‐Ming Chi, Zhe Chi, Guang-Lei Liu, Xiaoyun Yu, Shuaibo Han, Xue‐Wei Xu and Ruijun Wang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Frontiers in Marine Science, Current Microbiology, Scientific Reports and Applied Microbiology and Biotechnology.
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.