Kai Dou
Impact in
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Mycorrhizal Fungi and Plant Interactions
- Nematode management and characterization studies
- Mycotoxins in Agriculture and Food
- Plant Disease Resistance and Genetics
Papers in
-
- Plant-Microbe Interactions and Immunity 10
- Mycotoxins in Agriculture and Food 2
-
- Plant tissue culture and regeneration 4
- Insect Resistance and Genetics 2
- Co-authors
- Chuanjin Yu (9 shared papers)Yaqian Li (9 shared papers)Kandasamy Saravanakumar (5 shared papers)Jie Chen (2 shared papers)Qiong Wu (6 shared papers)Jie Chen (10 shared papers)Meng Wang (2 shared papers)Mi Ni (2 shared papers)
- Journals
- Physiological and Molecular Plant Pathology (4 papers)PLoS ONE (2 papers)The Journal of Microbiology (2 papers)Microbial Cell Factories (1 paper)Microbiological Research (1 paper)
- Partner nations
- ChinaBotswanaUnited States
In The Last Decade
Kai Dou
22 papers receiving 679 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 213
- Plant Science 491
- Horticulture 5
- Biotechnology 44
- Pharmacology 66
Countries citing papers authored by Kai Dou
This map shows the geographic impact of Kai Dou'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 Kai Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Dou more than expected).
Fields of papers citing papers by Kai Dou
This network shows the impact of papers produced by Kai Dou. 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 Kai Dou. The network helps show where Kai Dou may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Dou, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 146 | |
| 2 | 2017 | 123 | |
| 3 | 2018 | 61 | |
| 4 | 2018 | 46 | |
| 5 | 2020 | 37 | |
| 6 | 2017 | 36 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 28 | |
| 9 | 2016 | 28 | |
| 10 | 2003 | 27 | |
| 11 | 2016 | 27 | |
| 12 | 2014 | 24 | |
| 13 | 2009 | 20 | |
| 14 | 2014 | 15 | |
| 15 | 2023 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Kai Dou
Kai Dou is a scholar working on Plant Science, Molecular Biology, Cell Biology, Pharmacology and Surgery, having authored 22 papers that have together received 695 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (10 papers), Plant Pathogens and Fungal Diseases (7 papers), Plant tissue culture and regeneration (4 papers), Fungal Biology and Applications (3 papers), Liver physiology and pathology (2 papers), Insect Resistance and Genetics (2 papers), Mycotoxins in Agriculture and Food (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Cell Biology (213 citations), Plant Science (491 citations), Horticulture (5 citations), Biotechnology (44 citations) and Pharmacology (66 citations). Kai Dou has collaborated with scholars based in China, Botswana and United States. Frequent co-authors include Chuanjin Yu, Yaqian Li, Kandasamy Saravanakumar, Jie Chen, Qiong Wu, Jie Chen, Meng Wang, Mi Ni, Zhixiang Lu and Ruiyan Sun. Their work appears in journals such as Physiological and Molecular Plant Pathology, PLoS ONE, The Journal of Microbiology, Microbial Cell Factories and Microbiological 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.