Jun Yao
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Pollution top 10%
- Microbial bioremediation and biosurfactants
- Heavy metals in environment
Papers in
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- RNA Research and Splicing 3
- Ubiquitin and proteasome pathways 2
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- Plant Stress Responses and Tolerance 4
- Co-authors
- A.M. Fouad (2 shared papers)Pengyuan Yang (7 shared papers)HebatAllah Kasem El‐Senousey (1 shared paper)Xiaojun Yang (1 shared paper)Aibing Wang (3 shared papers)Lei Tan (4 shared papers)Xian Chen (4 shared papers)Guangmin Hu (1 shared paper)
- Journals
- Journal of Proteome Research (4 papers)Frontiers in Veterinary Science (2 papers)Plant Science (2 papers)ACS Nano (2 papers)Talanta (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jun Yao
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Animal Science and Zoology 142
- Pollution 94
- Molecular Biology 389
- Aquatic Science 38
- Epidemiology 145
Countries citing papers authored by Jun Yao
This map shows the geographic impact of Jun Yao'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 Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao more than expected).
Fields of papers citing papers by Jun Yao
This network shows the impact of papers produced by Jun Yao. 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 Yao. The network helps show where Jun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yao, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2013 | 100 | |
| 3 | 2018 | 84 | |
| 4 | 2020 | 67 | |
| 5 | 2011 | 61 | |
| 6 | 2022 | 57 | |
| 7 | 2015 | 51 | |
| 8 | 2013 | 48 | |
| 9 | 2010 | 46 | |
| 10 | 2012 | 41 | |
| 11 | 2019 | 39 | |
| 12 | 2010 | 34 | |
| 13 | 2021 | 33 | |
| 14 | 2009 | 32 | |
| 15 | 2020 | 31 | |
| 16 | 2010 | 25 | |
| 17 | 2015 | 25 | |
| 18 | 2021 | 23 | |
| 19 | 2022 | 22 | |
| 20 | 2014 | 21 |
About Jun Yao
Jun Yao is a scholar working on Molecular Biology, Plant Science, Epidemiology, Spectroscopy and Mechanics of Materials, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Herpesvirus Infections and Treatments (4 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Plant Stress Responses and Tolerance (4 papers), RNA Research and Splicing (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Animal Nutrition and Physiology (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Animal Science and Zoology (142 citations), Pollution (94 citations), Molecular Biology (389 citations), Aquatic Science (38 citations) and Epidemiology (145 citations). Jun Yao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include A.M. Fouad, Pengyuan Yang, HebatAllah Kasem El‐Senousey, Xiaojun Yang, Aibing Wang, Lei Tan, Xian Chen, Guangmin Hu, Xiaohui Liu and Xinghua Yang. Their work appears in journals such as Journal of Proteome Research, Frontiers in Veterinary Science, Plant Science, ACS Nano and Talanta.
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.