Gan Ai
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Plant Pathogens and Resistance
- Plant Pathogenic Bacteria Studies
- Plant Parasitism and Resistance
- Legume Nitrogen Fixing Symbiosis
- Plant Disease Resistance and Genetics
- Plant Stress Responses and Tolerance
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- Plant Pathogens and Fungal Diseases
Papers in
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- Plant-Microbe Interactions and Immunity 20
- Plant Pathogens and Resistance 7
- Plant Parasitism and Resistance 7
- Legume Nitrogen Fixing Symbiosis 5
- Plant Pathogenic Bacteria Studies 4
- Plant Molecular Biology Research 4
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- Photosynthetic Processes and Mechanisms 4
- Co-authors
- Daolong Dou (28 shared papers)Danyu Shen (14 shared papers)Maofeng Jing (11 shared papers)Ai Xia (10 shared papers)Meixiang Zhang (2 shared papers)Hao Peng (9 shared papers)Qi Li (1 shared paper)Yanyu Chen (1 shared paper)
- Journals
- Phytopathology Research (4 papers)Molecular Plant-Microbe Interactions (2 papers)New Phytologist (2 papers)Molecular Plant (2 papers)Fundamental Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Gan Ai
33 papers receiving 513 citations
Peers
Comparison fields: 5 of 38
- Plant Science 434
- Cell Biology 90
- Endocrinology 20
- Horticulture 3
- Insect Science 27
Countries citing papers authored by Gan Ai
This map shows the geographic impact of Gan 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 Gan Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gan Ai more than expected).
Fields of papers citing papers by Gan Ai
This network shows the impact of papers produced by Gan 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 Gan Ai. The network helps show where Gan Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Gan 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2021 | 57 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 30 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2024 | 8 |
About Gan Ai
Gan Ai is a scholar working on Plant Science, Molecular Biology, Cell Biology, Immunology and Pharmacology, having authored 33 papers that have together received 517 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (20 papers), Plant Pathogens and Resistance (7 papers), Plant Parasitism and Resistance (7 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant Pathogenic Bacteria Studies (4 papers), Plant Molecular Biology Research (4 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Plant Science (434 citations), Cell Biology (90 citations), Endocrinology (20 citations), Horticulture (3 citations) and Insect Science (27 citations). Gan Ai has collaborated with scholars based in China and United States. Frequent co-authors include Daolong Dou, Danyu Shen, Maofeng Jing, Ai Xia, Meixiang Zhang, Hao Peng, Qi Li, Yanyu Chen, Ji Wang and Shutian Li. Their work appears in journals such as Phytopathology Research, Molecular Plant-Microbe Interactions, New Phytologist, Molecular Plant and Fundamental Research.
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.