Fei Ge
Impact in
- Agronomy and Crop Science top 10%
- Ruminant Nutrition and Digestive Physiology
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- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 2
- Genetics 8
- Genetic and phenotypic traits in livestock 5
- Genetic Mapping and Diversity in Plants and Animals 3
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Chunnian Liang (5 shared papers)Pengjia Bao (4 shared papers)Xian Guo (3 shared papers)Ping Yan (2 shared papers)Xiaoming Ma (1 shared paper)Xixi Yao (1 shared paper)Xiaoyun Wu (1 shared paper)Min Kyung Chu (1 shared paper)
- Journals
- Animals (3 papers)Gene (2 papers)Vaccine (1 paper)Journal of Proteome Research (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaCanadaSwitzerland
In The Last Decade
Fei Ge
20 papers receiving 254 citations
Peers
Comparison fields: 5 of 63
- Agronomy and Crop Science 66
- Cancer Research 61
- Genetics 71
- Animal Science and Zoology 23
- Aging 3
Countries citing papers authored by Fei Ge
This map shows the geographic impact of Fei Ge'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 Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Ge more than expected).
Fields of papers citing papers by Fei Ge
This network shows the impact of papers produced by Fei Ge. 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 Ge. The network helps show where Fei Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Ge, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2021 | 34 | |
| 3 | 2021 | 34 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2020 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Fei Ge
Fei Ge is a scholar working on Molecular Biology, Genetics, Agronomy and Crop Science, Cancer Research and Animal Science and Zoology, having authored 22 papers that have together received 257 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Cancer-related molecular mechanisms research (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Livestock Farming and Management (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Genomic variations and chromosomal abnormalities (2 papers), MicroRNA in disease regulation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Agronomy and Crop Science (66 citations), Cancer Research (61 citations), Genetics (71 citations), Animal Science and Zoology (23 citations) and Aging (3 citations). Fei Ge has collaborated with scholars based in China, Canada and Switzerland. Frequent co-authors include Chunnian Liang, Pengjia Bao, Xian Guo, Ping Yan, Xiaoming Ma, Xixi Yao, Xiaoyun Wu, Min Kyung Chu, Min Chu and Ping Yan. Their work appears in journals such as Animals, Gene, Vaccine, Journal of Proteome Research and Frontiers in Microbiology.
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.