Fengfei Gu
Impact in
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
- Milk Quality and Mastitis in Dairy Cows
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- Effects of Environmental Stressors on Livestock
Papers in
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- Reproductive Physiology in Livestock 7
- Ruminant Nutrition and Digestive Physiology 6
- Milk Quality and Mastitis in Dairy Cows 1
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- Single-cell and spatial transcriptomics 3
- Gut microbiota and health 3
- Co-authors
- Jianxin Liu (17 shared papers)Hui‐Zeng Sun (11 shared papers)Senlin Zhu (8 shared papers)Yifan Tang (5 shared papers)Teresa G. Valencak (5 shared papers)Shuling Liang (2 shared papers)Diming Wang (5 shared papers)Jinxiu Hou (1 shared paper)
- Journals
- Journal of Dairy Science (5 papers)Journal of Animal Science and Biotechnology (2 papers)Microbiome (2 papers)Animal nutrition (2 papers)Italian Journal of Animal Science (1 paper)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Fengfei Gu
18 papers receiving 255 citations
Peers
Comparison fields: 5 of 56
- Agronomy and Crop Science 119
- Animal Science and Zoology 29
- Small Animals 12
- Genetics 44
- Nutrition and Dietetics 21
Countries citing papers authored by Fengfei Gu
This map shows the geographic impact of Fengfei 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 Fengfei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengfei Gu more than expected).
Fields of papers citing papers by Fengfei Gu
This network shows the impact of papers produced by Fengfei 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 Fengfei Gu. The network helps show where Fengfei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengfei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 42 | |
| 2 | 2023 | 41 | |
| 3 | 2021 | 32 | |
| 4 | 2021 | 30 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 |
About Fengfei Gu
Fengfei Gu is a scholar working on Agronomy and Crop Science, Molecular Biology, Animal Science and Zoology, Ecology and Genetics, having authored 18 papers that have together received 257 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Ruminant Nutrition and Digestive Physiology (6 papers), Single-cell and spatial transcriptomics (3 papers), Gut microbiota and health (3 papers), Effects of Environmental Stressors on Livestock (2 papers), Agriculture Sustainability and Environmental Impact (2 papers), Cancer-related molecular mechanisms research (2 papers) and Milk Quality and Mastitis in Dairy Cows (1 paper). The work is most often cited by research in Agronomy and Crop Science (119 citations), Animal Science and Zoology (29 citations), Small Animals (12 citations), Genetics (44 citations) and Nutrition and Dietetics (21 citations). Fengfei Gu has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Jianxin Liu, Hui‐Zeng Sun, Senlin Zhu, Yifan Tang, Teresa G. Valencak, Shuling Liang, Diming Wang, Jinxiu Hou, Qingbiao Xu and Xiaohan Liu. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science and Biotechnology, Microbiome, Animal nutrition and Italian Journal of Animal Science.
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.