Kun Kang
Impact in
- Agronomy and Crop Science top 5%
- 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 9
-
- Animal Nutrition and Physiology 6
- Meat and Animal Product Quality 3
- Co-authors
- Huawei Zou (8 shared papers)Quanhui Peng (8 shared papers)Xue Bai (6 shared papers)Jian Ma (5 shared papers)Changqing He (2 shared papers)Songchang Guo (2 shared papers)Xiangyong Qu (2 shared papers)Zhisheng Wang (4 shared papers)
In The Last Decade
Kun Kang
32 papers receiving 377 citations
Peers
Comparison fields: 5 of 73
- Agronomy and Crop Science 152
- Animal Science and Zoology 104
- Endocrine and Autonomic Systems 18
- Food Science 52
- Small Animals 19
Countries citing papers authored by Kun Kang
This map shows the geographic impact of Kun Kang'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 Kun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Kang more than expected).
Fields of papers citing papers by Kun Kang
This network shows the impact of papers produced by Kun Kang. 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 Kun Kang. The network helps show where Kun Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Kang, 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 | 2016 | 44 | |
| 2 | 2020 | 35 | |
| 3 | 2020 | 33 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2019 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 12 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 4 |
About Kun Kang
Kun Kang is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Plant Science, Molecular Biology and Genetics, having authored 33 papers that have together received 380 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (9 papers), Animal Nutrition and Physiology (6 papers), Genetic and phenotypic traits in livestock (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Meat and Animal Product Quality (3 papers), Nuclear materials and radiation effects (2 papers), Animal health and immunology (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Agronomy and Crop Science (152 citations), Animal Science and Zoology (104 citations), Endocrine and Autonomic Systems (18 citations), Food Science (52 citations) and Small Animals (19 citations). Kun Kang has collaborated with scholars based in China, Pakistan and Thailand. Frequent co-authors include Huawei Zou, Quanhui Peng, Xue Bai, Jian Ma, Changqing He, Songchang Guo, Xiangyong Qu, Zhisheng Wang, Ali Mujtaba Shah and Zhisheng Wang. Their work appears in journals such as Livestock Science, Frontiers in Veterinary Science, Food Bioscience, Animal nutrition and Food Research International.
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.