Kangle Yi
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
- Agronomy and Crop Science top 10%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
Papers in
-
- Ruminant Nutrition and Digestive Physiology 5
- Milk Quality and Mastitis in Dairy Cows 2
- Genetics 12
- Genetic and phenotypic traits in livestock 11
- Co-authors
- Xu Zhou (8 shared papers)Chao Chen (1 shared paper)Xu Zhou (1 shared paper)Wei Zhang (1 shared paper)Haifeng Yan (1 shared paper)Chunjin Li (8 shared papers)Nan Wang (2 shared papers)Yang Luo (7 shared papers)
- Journals
- Animal Reproduction Science (4 papers)Genes (3 papers)Animals (3 papers)Frontiers in Genetics (2 papers)Biology (2 papers)
- Partner nations
- ChinaPakistanUnited Kingdom
In The Last Decade
Kangle Yi
29 papers receiving 346 citations
Peers
Comparison fields: 5 of 57
- Reproductive Medicine 89
- Agronomy and Crop Science 62
- Animal Science and Zoology 29
- Genetics 72
- Microbiology 11
Countries citing papers authored by Kangle Yi
This map shows the geographic impact of Kangle Yi'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 Kangle Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kangle Yi more than expected).
Fields of papers citing papers by Kangle Yi
This network shows the impact of papers produced by Kangle Yi. 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 Kangle Yi. The network helps show where Kangle Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kangle Yi, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 55 | |
| 2 | 2018 | 42 | |
| 3 | 2012 | 36 | |
| 4 | 2022 | 28 | |
| 5 | 2023 | 22 | |
| 6 | 2022 | 17 | |
| 7 | 2024 | 16 | |
| 8 | 2014 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2011 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 4 |
About Kangle Yi
Kangle Yi is a scholar working on Agronomy and Crop Science, Genetics, Reproductive Medicine, Pollution and Molecular Biology, having authored 30 papers that have together received 356 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (11 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Sperm and Testicular Function (4 papers), Heavy metals in environment (2 papers), Reproductive Biology and Fertility (2 papers), Gut microbiota and health (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Reproductive Medicine (89 citations), Agronomy and Crop Science (62 citations), Animal Science and Zoology (29 citations), Genetics (72 citations) and Microbiology (11 citations). Kangle Yi has collaborated with scholars based in China, Pakistan and United Kingdom. Frequent co-authors include Xu Zhou, Chao Chen, Xu Zhou, Wei Zhang, Haifeng Yan, Wei Zhang, Chunjin Li, Nan Wang, Yang Luo and Shuxiong Chen. Their work appears in journals such as Animal Reproduction Science, Genes, Animals, Frontiers in Genetics and Biology.
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.