Ya Dai
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
- Legume Nitrogen Fixing Symbiosis
- Mycorrhizal Fungi and Plant Interactions
Papers in
-
- Mycorrhizal Fungi and Plant Interactions 4
- Plant-Microbe Interactions and Immunity 3
- Powdery Mildew Fungal Diseases 3
- Plant Pathogens and Resistance 2
-
- Yeasts and Rust Fungi Studies 3
- Plant tissue culture and regeneration 3
- Co-authors
- Xinrong Ma (8 shared papers)Xiang Tao (4 shared papers)Hong Yang (2 shared papers)Yan Wang (3 shared papers)Ping Mao (4 shared papers)Mingxiu Wang (3 shared papers)Jiazhen Wang (1 shared paper)Yan Wang (2 shared papers)
- Journals
- Frontiers in Plant Science (3 papers)Plant Disease (3 papers)MycoKeys (2 papers)Microbial Biotechnology (1 paper)BioMed Research International (1 paper)
- Partner nations
- China
In The Last Decade
Ya Dai
18 papers receiving 275 citations
Peers
Comparison fields: 5 of 51
- Plant Science 191
- Ecology, Evolution, Behavior and Systematics 37
- Environmental Chemistry 17
- Molecular Biology 113
- Cell Biology 21
Countries citing papers authored by Ya Dai
This map shows the geographic impact of Ya Dai'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 Ya Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Dai more than expected).
Fields of papers citing papers by Ya Dai
This network shows the impact of papers produced by Ya Dai. 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 Ya Dai. The network helps show where Ya Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2017 | 42 | |
| 3 | 2016 | 40 | |
| 4 | 2020 | 32 | |
| 5 | 2018 | 19 | |
| 6 | 2011 | 16 | |
| 7 | 2023 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2014 | 9 | |
| 12 | 2017 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2018 | 0 |
About Ya Dai
Ya Dai is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Cell Biology and Pharmacology, having authored 19 papers that have together received 282 indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (4 papers), Plant Pathogens and Fungal Diseases (4 papers), Lichen and fungal ecology (3 papers), Yeasts and Rust Fungi Studies (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Powdery Mildew Fungal Diseases (3 papers), Plant tissue culture and regeneration (3 papers) and Plant Pathogens and Resistance (2 papers). The work is most often cited by research in Plant Science (191 citations), Ecology, Evolution, Behavior and Systematics (37 citations), Environmental Chemistry (17 citations), Molecular Biology (113 citations) and Cell Biology (21 citations). Ya Dai has collaborated with scholars based in China. Frequent co-authors include Xinrong Ma, Xiang Tao, Hong Yang, Yan Wang, Ping Mao, Mingxiu Wang, Jiazhen Wang, Yan Wang, Yan Wang and Tao Wang. Their work appears in journals such as Frontiers in Plant Science, Plant Disease, MycoKeys, Microbial Biotechnology and BioMed Research International.
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.