Kai Dou

1.0k total citations
22 papers, 679 citations indexed

About

Kai Dou is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Kai Dou has authored 22 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 11 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Kai Dou's work include Plant-Microbe Interactions and Immunity (10 papers), Plant Pathogens and Fungal Diseases (7 papers) and Plant tissue culture and regeneration (4 papers). Kai Dou is often cited by papers focused on Plant-Microbe Interactions and Immunity (10 papers), Plant Pathogens and Fungal Diseases (7 papers) and Plant tissue culture and regeneration (4 papers). Kai Dou collaborates with scholars based in China, Botswana and United Kingdom. Kai Dou's co-authors include Chuanjin Yu, Yaqian Li, Kandasamy Saravanakumar, Jie Chen, Qiong Wu, Jie Chen, Meng Wang, Mi Ni, Zhixiang Lu and Ruiyan Sun and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Kai Dou

22 papers receiving 665 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Dou China 14 493 220 187 67 45 22 679
Rong Huo China 8 428 0.9× 121 0.6× 194 1.0× 42 0.6× 38 0.8× 9 567
Youzhou Liu China 13 396 0.8× 94 0.4× 251 1.3× 35 0.5× 39 0.9× 41 601
Mi Ni China 11 362 0.7× 79 0.4× 217 1.2× 36 0.5× 29 0.6× 25 486
M. Braithwaite New Zealand 13 481 1.0× 182 0.8× 113 0.6× 55 0.8× 10 0.2× 40 607
Ruey-Shyang Chen Taiwan 15 525 1.1× 230 1.0× 213 1.1× 23 0.3× 21 0.5× 27 729
Roni Cohen Israel 19 1.1k 2.2× 318 1.4× 169 0.9× 54 0.8× 74 1.6× 37 1.2k
Ziyi Yin China 19 851 1.7× 280 1.3× 595 3.2× 160 2.4× 22 0.5× 53 1.1k
Rita Milvia De Miccolis Angelini Italy 18 698 1.4× 391 1.8× 93 0.5× 33 0.5× 30 0.7× 63 977
Xiangyu Li China 17 447 0.9× 114 0.5× 415 2.2× 25 0.4× 7 0.2× 63 867
Heshmatollah Rahimian Iran 11 395 0.8× 132 0.6× 120 0.6× 10 0.1× 34 0.8× 33 482

Countries citing papers authored by Kai Dou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kai Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Dou. A scholar is included among the top collaborators of Kai Dou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Dou. Kai Dou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Yunfeng, Shan Su, Weili Bao, et al.. (2023). Hemolysis dictates monocyte differentiation via two distinct pathways in sickle cell disease vaso-occlusion. Journal of Clinical Investigation. 133(18). 8 indexed citations
2.
3.
Lu, Zhixiang, et al.. (2022). The Interpretation of the Role of a Polyketide Synthase ClPKS18 in the Pathogenicity of Curvularia lunata. Frontiers in Microbiology. 13. 853140–853140. 4 indexed citations
4.
Zhang, Fuli, Chang Liu, Yunhua Wang, et al.. (2020). Biological characteristic and biocontrol mechanism of Trichoderma harzianum T-A66 against bitter gourd wilt caused by Fusarium oxysporum. Journal of Plant Pathology. 102(4). 1107–1120. 5 indexed citations
5.
Zhang, Fuli, Kai Dou, Chang Liu, et al.. (2020). The application potential of Trichoderma T-soybean containing 1-aminocyclopropane-1-carboxylate for maize production. Physiological and Molecular Plant Pathology. 110. 101475–101475. 9 indexed citations
6.
Dou, Kai, Zhixiang Lu, Qiong Wu, et al.. (2020). MIST: a Multilocus Identification System for Trichoderma. Applied and Environmental Microbiology. 86(18). 37 indexed citations
7.
Yu, Chuanjin, Kai Dou, Shaoqing Wang, et al.. (2019). Elicitor hydrophobin Hyd1 interacts with Ubiquilin1‐like to induce maize systemic resistance. Journal of Integrative Plant Biology. 62(4). 509–526. 27 indexed citations
8.
Dou, Kai, Jinxin Gao, Chu‐Long Zhang, et al.. (2019). Trichoderma biodiversity in major ecological systems of China. The Journal of Microbiology. 57(8). 668–675. 30 indexed citations
9.
Saravanakumar, Kandasamy, Kai Dou, Zhixiang Lu, et al.. (2018). Enhanced biocontrol activity of cellulase from Trichoderma harzianum against Fusarium graminearum through activation of defense-related genes in maize. Physiological and Molecular Plant Pathology. 103. 130–136. 41 indexed citations
10.
Saravanakumar, Kandasamy, Shaoqing Wang, Kai Dou, Zhixiang Lu, & Jie Chen. (2018). Yeast two-hybrid and label-free proteomics based screening of maize root receptor to cellulase of Trichoderma harzianum. Physiological and Molecular Plant Pathology. 104. 86–94. 9 indexed citations
11.
Wu, Qiong, Mi Ni, Kai Dou, et al.. (2018). Co-culture of Bacillus amyloliquefaciens ACCC11060 and Trichoderma asperellum GDFS1009 enhanced pathogen-inhibition and amino acid yield. Microbial Cell Factories. 17(1). 155–155. 60 indexed citations
12.
Wu, Qiong, Ruiyan Sun, Mi Ni, et al.. (2017). Identification of a novel fungus, Trichoderma asperellum GDFS1009, and comprehensive evaluation of its biocontrol efficacy. PLoS ONE. 12(6). e0179957–e0179957. 122 indexed citations
13.
Wu, Qiong, Lida Zhang, Chuanjin Yu, et al.. (2017). Omics for understanding synergistic action of validamycin A and Trichoderma asperellum GDFS1009 against maize sheath blight pathogen. Scientific Reports. 7(1). 40140–40140. 35 indexed citations
14.
Saravanakumar, Kandasamy, Chuanjin Yu, Kai Dou, et al.. (2016). Biodiversity of Trichoderma Community in the Tidal Flats and Wetland of Southeastern China. PLoS ONE. 11(12). e0168020–e0168020. 27 indexed citations
15.
Yu, Chuanjin, Kandasamy Saravanakumar, Jinxin Gao, et al.. (2016). Occurrence and virulence of Fusarium spp. associated with stalk rot of maize in North-East China. Physiological and Molecular Plant Pathology. 98. 1–8. 27 indexed citations
16.
17.
Fan, Haijuan, et al.. (2014). Functional analysis of a subtilisin-like serine protease gene from biocontrol fungus Trichoderma harzianum. The Journal of Microbiology. 52(2). 129–138. 24 indexed citations
18.
Dou, Kai, et al.. (2014). Cloning and characteristic analysis of a novel aspartic protease gene Asp55 from Trichoderma asperellum ACCC30536. Microbiological Research. 169(12). 915–923. 15 indexed citations
19.
Zhang, H., Zhongxiang Liu, Rui Li, et al.. (2009). Transplantation of Embryonic Small Hepatocytes Induces Regeneration of Injured Liver in Adult Rat. Transplantation Proceedings. 41(9). 3887–3892. 19 indexed citations
20.
Dou, Kai, et al.. (2003). The Na(+)/H(+) exchange inhibitor: a new therapeutic approach for hepatic ischemia injury in rats. Transplantation Proceedings. 35(8). 3134–3135. 27 indexed citations

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.

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