Feiya Suo
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
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- Mycorrhizal Fungi and Plant Interactions 4
- Co-authors
- Zhemin Zhou (10 shared papers)Laichuang Han (9 shared papers)Wenjing Cui (8 shared papers)Zhongmei Liu (5 shared papers)Li Zhou (4 shared papers)Rebecca Kreitzer (1 shared paper)Candis Watts Smith (1 shared paper)Zhongyi Cheng (3 shared papers)
- Journals
- Frontiers in Bioengineering and Biotechnology (2 papers)Advanced Science (2 papers)International Journal of Biological Macromolecules (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Microbial Biotechnology (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Feiya Suo
32 papers receiving 381 citations
Peers
Comparison fields: 5 of 78
- Biotechnology 79
- Business and International Management 8
- Aging 7
- Molecular Biology 258
- Genetics 103
Countries citing papers authored by Feiya Suo
This map shows the geographic impact of Feiya Suo'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 Feiya Suo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiya Suo more than expected).
Fields of papers citing papers by Feiya Suo
This network shows the impact of papers produced by Feiya Suo. 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 Feiya Suo. The network helps show where Feiya Suo may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiya Suo, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2019 | 44 | |
| 3 | 2019 | 41 | |
| 4 | 2021 | 30 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 18 | |
| 8 | 2024 | 16 | |
| 9 | 2021 | 13 | |
| 10 | 2017 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2025 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2011 | 2 |
About Feiya Suo
Feiya Suo is a scholar working on Molecular Biology, Plant Science, Ecology, Genetics and Pharmacology, having authored 33 papers that have together received 386 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Fungal Biology and Applications (6 papers), Bacterial Genetics and Biotechnology (6 papers), Plant Pathogens and Fungal Diseases (4 papers), Bacteriophages and microbial interactions (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Biotechnology (79 citations), Business and International Management (8 citations), Aging (7 citations), Molecular Biology (258 citations) and Genetics (103 citations). Feiya Suo has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Zhemin Zhou, Laichuang Han, Wenjing Cui, Zhongmei Liu, Li Zhou, Rebecca Kreitzer, Candis Watts Smith, Zhongyi Cheng, Junling Guo and Luodong Huang. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Advanced Science, International Journal of Biological Macromolecules, Frontiers in Cell and Developmental Biology and Microbial 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.