Jun Ai
Impact in
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- Bone and Joint Diseases
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Horticultural and Viticultural Research
Papers in
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- Horticultural and Viticultural Research 10
- Plant Molecular Biology Research 6
- Plant-Microbe Interactions and Immunity 6
- Phytochemistry and Biological Activities 5
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- Plant and animal studies 6
- Co-authors
- ULRIKE W. TSCHIRNER (2 shared papers)Hongyan Qin (14 shared papers)Ying Zhao (10 shared papers)Pengfei Wang (1 shared paper)Yiming Yang (9 shared papers)Yongmei Wang (1 shared paper)Fengshan Ren (1 shared paper)Shona M. Duncan (1 shared paper)
- Journals
- Plant Disease (5 papers)Industrial Crops and Products (3 papers)Scientia Horticulturae (3 papers)Biologia Plantarum (2 papers)Plant Cell Tissue and Organ Culture (PCTOC) (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Ai
54 papers receiving 777 citations
Peers
Comparison fields: 5 of 93
- Orthopedics and Sports Medicine 239
- Plant Science 327
- Endocrinology 27
- Biotechnology 30
- Molecular Biology 232
Countries citing papers authored by Jun Ai
This map shows the geographic impact of Jun Ai'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 Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ai more than expected).
Fields of papers citing papers by Jun Ai
This network shows the impact of papers produced by Jun Ai. 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 Ai. The network helps show where Jun Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ai, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 257 | |
| 2 | 2012 | 77 | |
| 3 | 2012 | 67 | |
| 4 | 2019 | 66 | |
| 5 | 2011 | 37 | |
| 6 | 2019 | 24 | |
| 7 | 2015 | 24 | |
| 8 | 2018 | 23 | |
| 9 | 2016 | 16 | |
| 10 | 2013 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 12 | |
| 13 | 2011 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2015 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 7 |
About Jun Ai
Jun Ai is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Cell Biology and Biotechnology, having authored 60 papers that have together received 802 indexed citations. Recurring topics across this work include Horticultural and Viticultural Research (10 papers), Plant tissue culture and regeneration (9 papers), Plant Pathogens and Fungal Diseases (7 papers), Plant-derived Lignans Synthesis and Bioactivity (7 papers), Plant Molecular Biology Research (6 papers), Plant and animal studies (6 papers), Plant-Microbe Interactions and Immunity (6 papers) and Phytochemistry and Biological Activities (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (239 citations), Plant Science (327 citations), Endocrinology (27 citations), Biotechnology (30 citations) and Molecular Biology (232 citations). Jun Ai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include ULRIKE W. TSCHIRNER, Hongyan Qin, Ying Zhao, Pengfei Wang, Yiming Yang, Yongmei Wang, Fengshan Ren, Shona M. Duncan, T. R. Filley and Robert A. Blanchette. Their work appears in journals such as Plant Disease, Industrial Crops and Products, Scientia Horticulturae, Biologia Plantarum and Plant Cell Tissue and Organ Culture (PCTOC).
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.