Kai Cui
Impact in
- Agronomy and Crop Science top 2%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
Papers in
-
- Ruminant Nutrition and Digestive Physiology 21
- Reproductive Physiology in Livestock 5
-
- Gut microbiota and health 8
- Co-authors
- Qiyu Diao (26 shared papers)Naifeng Zhang (21 shared papers)Shiqin Wang (7 shared papers)Tao Ma (12 shared papers)Jianmin Chai (9 shared papers)Yanliang Bi (10 shared papers)Yan Tu (5 shared papers)Xiaokang Lv (5 shared papers)
- Journals
- Animals (6 papers)Scientific Reports (4 papers)Journal of Animal Science (2 papers)Frontiers in Veterinary Science (2 papers)Journal of Integrative Agriculture (2 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Kai Cui
42 papers receiving 745 citations
Peers
Comparison fields: 5 of 95
- Agronomy and Crop Science 350
- Animal Science and Zoology 167
- Small Animals 53
- Food Science 103
- Pollution 53
Countries citing papers authored by Kai Cui
This map shows the geographic impact of Kai Cui'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 Kai Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Cui more than expected).
Fields of papers citing papers by Kai Cui
This network shows the impact of papers produced by Kai Cui. 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 Kai Cui. The network helps show where Kai Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Cui, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2018 | 67 | |
| 3 | 2019 | 52 | |
| 4 | 2019 | 50 | |
| 5 | 2020 | 43 | |
| 6 | 2021 | 43 | |
| 7 | 2019 | 35 | |
| 8 | 2020 | 34 | |
| 9 | 2020 | 31 | |
| 10 | 2024 | 30 | |
| 11 | 2019 | 25 | |
| 12 | 2022 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2015 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2023 | 17 | |
| 17 | 2023 | 15 | |
| 18 | 2018 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2020 | 10 |
About Kai Cui
Kai Cui is a scholar working on Agronomy and Crop Science, Molecular Biology, Animal Science and Zoology, Genetics and Plant Science, having authored 46 papers that have together received 756 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (21 papers), Gut microbiota and health (8 papers), Genetic and phenotypic traits in livestock (8 papers), Animal Nutrition and Physiology (7 papers), Reproductive Physiology in Livestock (5 papers), Animal health and immunology (4 papers), Probiotics and Fermented Foods (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Agronomy and Crop Science (350 citations), Animal Science and Zoology (167 citations), Small Animals (53 citations), Food Science (103 citations) and Pollution (53 citations). Kai Cui has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Qiyu Diao, Naifeng Zhang, Shiqin Wang, Tao Ma, Jianmin Chai, Yanliang Bi, Yan Tu, Xiaokang Lv, Yan Tu and Yimin Zhuang. Their work appears in journals such as Animals, Scientific Reports, Journal of Animal Science, Frontiers in Veterinary Science and Journal of Integrative Agriculture.
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.