Kun Wu
Impact in
- Aquatic Science top 0.5%
- Aquaculture Nutrition and Growth
- Physiology top 5%
- Adipose Tissue and Metabolism
- Reproductive biology and impacts on aquatic species
Papers in
-
- Aquaculture Nutrition and Growth 32
-
- Peroxisome Proliferator-Activated Receptors 7
- Co-authors
- Zhi Luo (35 shared papers)Yi‐Huan Xu (15 shared papers)Ya‐Xiong Pan (16 shared papers)Christer Högstrand (8 shared papers)Yu–Feng Song (14 shared papers)Chuan‐Chuan Wei (7 shared papers)Mei-Qin Zhuo (15 shared papers)Shi-Cheng Ling (8 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)General and Comparative Endocrinology (6 papers)Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology (5 papers)Journal of Nutrition (4 papers)Chemosphere (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kun Wu
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Aquatic Science 529
- Physiology 99
- Nutrition and Dietetics 287
- Immunology 362
- Biochemistry 104
Countries citing papers authored by Kun Wu
This map shows the geographic impact of Kun Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wu more than expected).
Fields of papers citing papers by Kun Wu
This network shows the impact of papers produced by Kun Wu. 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 Wu. The network helps show where Kun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Wu, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2016 | 78 | |
| 3 | 2019 | 65 | |
| 4 | 2017 | 61 | |
| 5 | 2018 | 61 | |
| 6 | 2015 | 60 | |
| 7 | 2018 | 54 | |
| 8 | 2017 | 50 | |
| 9 | 2020 | 44 | |
| 10 | 2014 | 44 | |
| 11 | 2014 | 43 | |
| 12 | 2016 | 37 | |
| 13 | 2017 | 37 | |
| 14 | 2015 | 34 | |
| 15 | 2016 | 34 | |
| 16 | 2014 | 32 | |
| 17 | 2015 | 30 | |
| 18 | 2017 | 29 | |
| 19 | 2018 | 29 | |
| 20 | 2017 | 27 |
About Kun Wu
Kun Wu is a scholar working on Aquatic Science, Molecular Biology, Immunology, Nutrition and Dietetics and Epidemiology, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (32 papers), Trace Elements in Health (13 papers), Aquaculture disease management and microbiota (10 papers), Adipose Tissue and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Autophagy in Disease and Therapy (7 papers), Reproductive biology and impacts on aquatic species (6 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Aquatic Science (529 citations), Physiology (99 citations), Nutrition and Dietetics (287 citations), Immunology (362 citations) and Biochemistry (104 citations). Kun Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhi Luo, Yi‐Huan Xu, Ya‐Xiong Pan, Christer Högstrand, Yu–Feng Song, Chuan‐Chuan Wei, Mei-Qin Zhuo, Shi-Cheng Ling, Guang‐Hui Chen and Dandan Li. Their work appears in journals such as International Journal of Molecular Sciences, General and Comparative Endocrinology, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Journal of Nutrition and Chemosphere.
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.