Jun Ai
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Horticultural and Viticultural Research
Papers in
-
- Horticultural and Viticultural Research 10
- Plant Molecular Biology Research 7
- Plant-Microbe Interactions and Immunity 6
- Phytochemistry and Biological Activities 5
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- Plant tissue culture and regeneration 9
- Plant-derived Lignans Synthesis and Bioactivity 7
- Co-authors
- Hongyan Qin (15 shared papers)Ulrike Tschirner (2 shared papers)Ying Zhao (10 shared papers)Yongmei Wang (1 shared paper)Yiming Yang (9 shared papers)Pengfei Wang (1 shared paper)Fengshan Ren (1 shared paper)T. R. Filley (1 shared paper)
- Journals
- Plant Disease (5 papers)Scientia Horticulturae (3 papers)Industrial Crops and Products (3 papers)Plant Cell Tissue and Organ Culture (PCTOC) (2 papers)Biologia Plantarum (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Ai
51 papers receiving 463 citations
Peers
Comparison fields: 5 of 88
- Plant Science 303
- Endocrinology 30
- Biotechnology 28
- Cell Biology 49
- Molecular Biology 200
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 73 | |
| 2 | 2012 | 60 | |
| 3 | 2019 | 58 | |
| 4 | 2011 | 31 | |
| 5 | 2019 | 23 | |
| 6 | 2018 | 20 | |
| 7 | 2015 | 20 | |
| 8 | 2022 | 15 | |
| 9 | 2013 | 15 | |
| 10 | 2021 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2011 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2016 | 5 |
About Jun Ai
Jun Ai is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Cell Biology and Biotechnology, having authored 59 papers that have together received 477 indexed citations. Recurring topics across this work include Horticultural and Viticultural Research (10 papers), Plant tissue culture and regeneration (9 papers), Plant Molecular Biology Research (7 papers), Plant Pathogens and Fungal Diseases (7 papers), Plant-derived Lignans Synthesis and Bioactivity (7 papers), Plant-Microbe Interactions and Immunity (6 papers), Plant and animal studies (6 papers) and Phytochemistry and Biological Activities (5 papers). The work is most often cited by research in Plant Science (303 citations), Endocrinology (30 citations), Biotechnology (28 citations), Cell Biology (49 citations) and Molecular Biology (200 citations). Jun Ai has collaborated with scholars based in China and United States. Frequent co-authors include Hongyan Qin, Ulrike Tschirner, Ying Zhao, Yongmei Wang, Yiming Yang, Pengfei Wang, Fengshan Ren, T. R. Filley, Shona M. Duncan and Jonathan S. Schilling. Their work appears in journals such as Plant Disease, Scientia Horticulturae, Industrial Crops and Products, Plant Cell Tissue and Organ Culture (PCTOC) and Biologia Plantarum.
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.