Kai Jin

2.5k total citations
62 papers, 1.4k citations indexed

About

Kai Jin is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Kai Jin has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 43 papers in Insect Science and 19 papers in Plant Science. Recurrent topics in Kai Jin's work include Entomopathogenic Microorganisms in Pest Control (42 papers), Insect Resistance and Genetics (27 papers) and Nematode management and characterization studies (17 papers). Kai Jin is often cited by papers focused on Entomopathogenic Microorganisms in Pest Control (42 papers), Insect Resistance and Genetics (27 papers) and Nematode management and characterization studies (17 papers). Kai Jin collaborates with scholars based in China, United States and United Kingdom. Kai Jin's co-authors include Yuxian Xia, Yan Pei, Yongjun Zhang, Weiguo Fang, Yanhua Fan, Yuehua Xiao, Jincheng Ma, Jing Feng, Xingyong Yang and Guoxiong Peng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Kai Jin

58 papers receiving 1.4k 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 Jin China 21 912 854 462 133 131 62 1.4k
Youping Yin China 21 593 0.7× 642 0.8× 516 1.1× 104 0.8× 141 1.1× 78 1.2k
Zheng‐Liang Wang China 14 753 0.8× 797 0.9× 382 0.8× 147 1.1× 107 0.8× 56 1.2k
Zhen Huang China 20 537 0.6× 524 0.6× 354 0.8× 136 1.0× 42 0.3× 95 1.2k
Kristopher Silver United States 20 1.3k 1.4× 988 1.2× 582 1.3× 117 0.9× 56 0.4× 48 1.8k
Shunxiang Ren China 27 827 0.9× 1.7k 2.0× 956 2.1× 124 0.9× 51 0.4× 118 2.1k
Rena Gorovits Israel 26 613 0.7× 484 0.6× 1.1k 2.4× 69 0.5× 99 0.8× 45 1.6k
Emeline Deleury France 19 949 1.0× 295 0.3× 667 1.4× 171 1.3× 67 0.5× 27 1.8k
Yanhua Fan China 23 1.3k 1.4× 1.4k 1.6× 528 1.1× 83 0.6× 131 1.0× 52 1.8k
Fengliang Jin China 26 961 1.1× 995 1.2× 530 1.1× 118 0.9× 30 0.2× 84 1.5k
Xin Yang China 27 1.3k 1.5× 1.7k 2.0× 1.1k 2.3× 154 1.2× 26 0.2× 84 2.5k

Countries citing papers authored by Kai Jin

Since Specialization
Citations

This map shows the geographic impact of Kai Jin'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 Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Jin more than expected).

Fields of papers citing papers by Kai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Jin. 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 Jin. The network helps show where Kai Jin may publish in the future.

Co-authorship network of co-authors of Kai Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Jin. A scholar is included among the top collaborators of Kai Jin 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 Jin. Kai Jin 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
2.
Bao, Yuheng, et al.. (2024). Self-modifying NanoEnhancers facilitating lysosomal escape for cGAS-STING cascading activation in tumor immunotherapy. Nano Today. 57. 102391–102391. 8 indexed citations
4.
Li, Mengfei, Shuqin Wang, Fei Xu, et al.. (2023). Arginine metabolism governs microcycle conidiation by changing nitric oxide content in Metarhizium acridum. Applied Microbiology and Biotechnology. 107(4). 1257–1268. 4 indexed citations
10.
Zhang, Junjie, et al.. (2019). Members of chitin synthase family in Metarhizium acridum differentially affect fungal growth, stress tolerances, cell wall integrity and virulence. PLoS Pathogens. 15(8). e1007964–e1007964. 58 indexed citations
11.
Zhang, Jie, Zhenglong Wang, Nemat O. Keyhani, et al.. (2019). The protein phosphatase gene MaPpt1 acts as a programmer of microcycle conidiation and a negative regulator of UV-B tolerance in Metarhizium acridum. Applied Microbiology and Biotechnology. 103(3). 1351–1362. 11 indexed citations
13.
15.
Jin, Kai, Guoxiong Peng, Yingchun Liu, & Yuxian Xia. (2015). The acid trehalase, ATM1, contributes to the in vivo growth and virulence of the entomopathogenic fungus, Metarhizium acridum. Fungal Genetics and Biology. 77. 61–67. 40 indexed citations
17.
Wei, Qinglv, et al.. (2014). MaSnf1, a sucrose non-fermenting protein kinase gene, is involved in carbon source utilization, stress tolerance, and virulence in Metarhizium acridum. Applied Microbiology and Biotechnology. 98(24). 10153–10164. 23 indexed citations
18.
Niu, Donghong, Kai Jin, Lie Wang, Fanyue Sun, & Jiale Li. (2013). Identification of cathepsin B in the razor clam Sinonovacula constricta and its role in innate immune responses. Developmental & Comparative Immunology. 41(1). 94–99. 31 indexed citations
20.
Jin, Kai, et al.. (2010). Carbon catabolite repressor gene BbCre1 influences carbon source uptake but does not have a big impact on virulence in Beauveria bassiana. Journal of Invertebrate Pathology. 106(3). 400–406. 7 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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