Jun He
Impact in
- Animal Science and Zoology top 0.02%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Aquatic Science top 1%
- Aquaculture Nutrition and Growth
Papers in
-
- Animal Nutrition and Physiology 257
- Meat and Animal Product Quality 30
- Animal Virus Infections Studies 10
-
- Muscle Physiology and Disorders 31
- Gut microbiota and health 26
- Co-authors
- Bing Yu (251 shared papers)Daiwen Chen (251 shared papers)Xiangbing Mao (251 shared papers)Ping Zheng (250 shared papers)Jie Yu (232 shared papers)Zhiqing Huang (215 shared papers)Yuheng Luo (201 shared papers)Junqiu Luo (168 shared papers)
- Journals
- Animals (27 papers)Journal of Animal Science (19 papers)Animal nutrition (17 papers)Journal of Animal Science and Biotechnology (15 papers)Food & Function (14 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun He
370 papers receiving 9.7k citations
Peers
Comparison fields: 5 of 129
- Animal Science and Zoology 5.2k
- Aquatic Science 356
- Biotechnology 289
- Biochemistry 255
- Molecular Biology 2.1k
Countries citing papers authored by Jun He
This map shows the geographic impact of Jun He'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 Jun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun He more than expected).
Fields of papers citing papers by Jun He
This network shows the impact of papers produced by Jun He. 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 Jun He. The network helps show where Jun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun He, 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 379 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 218 | |
| 2 | 2014 | 203 | |
| 3 | 2018 | 148 | |
| 4 | 2017 | 122 | |
| 5 | 2018 | 115 | |
| 6 | 2016 | 112 | |
| 7 | 2022 | 112 | |
| 8 | 2015 | 109 | |
| 9 | 2012 | 104 | |
| 10 | 2017 | 98 | |
| 11 | 2016 | 97 | |
| 12 | 2018 | 97 | |
| 13 | 2019 | 96 | |
| 14 | 2021 | 94 | |
| 15 | 2022 | 91 | |
| 16 | 2017 | 89 | |
| 17 | 2019 | 89 | |
| 18 | 2014 | 80 | |
| 19 | 2020 | 75 | |
| 20 | 2016 | 74 |
About Jun He
Jun He is a scholar working on Animal Science and Zoology, Molecular Biology, Microbiology, Pediatrics, Perinatology and Child Health and Biotechnology, having authored 379 papers that have together received 9.9k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (257 papers), Muscle Physiology and Disorders (31 papers), Meat and Animal Product Quality (30 papers), Gut microbiota and health (26 papers), Antimicrobial Peptides and Activities (13 papers), Birth, Development, and Health (13 papers), Animal Virus Infections Studies (10 papers) and Enzyme Production and Characterization (10 papers). The work is most often cited by research in Animal Science and Zoology (5.2k citations), Aquatic Science (356 citations), Biotechnology (289 citations), Biochemistry (255 citations) and Molecular Biology (2.1k citations). Jun He has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bing Yu, Daiwen Chen, Xiangbing Mao, Ping Zheng, Jie Yu, Zhiqing Huang, Yuheng Luo, Junqiu Luo, Hui Yan and Xiaoling Chen. Their work appears in journals such as Animals, Journal of Animal Science, Animal nutrition, Journal of Animal Science and Biotechnology and Food & Function.
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.