Kai Jin

2.5k citations
66 papers · 1.5k · h-index 21

Impact in

    • Entomopathogenic Microorganisms in Pest Control
    • Insect symbiosis and bacterial influences
    • Insect Resistance and Genetics
    • Studies on Chitinases and Chitosanases

Papers in

    • Insect Resistance and Genetics 26
    • Studies on Chitinases and Chitosanases 4
    • Ubiquitin and proteasome pathways 3
    • Entomopathogenic Microorganisms in Pest Control 44
    • Insect symbiosis and bacterial influences 14

Kai Jin

59 papers receiving 1.5k citations

Peers

Kai Jin
Comparison fields: 5 of 84
  • Insect Science 875
  • Molecular Biology 902
  • Plant Science 460
  • Pharmacology 138
  • Biotechnology 50
Replace Youping Yin with:
Youping Yin China
Renata O. Dias Brazil
Kwang Sik Lee South Korea
Xin Yang China
Qi Fang China
Brenda Oppert United States
Hyung Joo Yoon South Korea
Sean D. G. Marshall New Zealand
Fengliang Jin China
Wenbo Chen China
Kai Jin relative to Youping Yin China Youping Yin's profile →
Citations per field
00.5×1.5×2.3×
Youping Yin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kai Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Jin Line = papers co-authored together Kai Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005255
2 2006168
3 201266
4 201965
5 201349
6 201345
7 201542
8 201739
9 201439
10 201237
11 201835
12 200934
13 202331
14 201531
15 201331
16 201730
17 201728
18 200826
19 201423
20 201923

About Kai Jin

Kai Jin is a scholar working on Molecular Biology, Insect Science, Plant Science, Pharmacology and Genetics, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Entomopathogenic Microorganisms in Pest Control (44 papers), Insect Resistance and Genetics (26 papers), Nematode management and characterization studies (18 papers), Insect symbiosis and bacterial influences (14 papers), Fungal Biology and Applications (12 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Studies on Chitinases and Chitosanases (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Insect Science (875 citations), Molecular Biology (902 citations), Plant Science (460 citations), Pharmacology (138 citations) and Biotechnology (50 citations). Kai Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuxian Xia, Yongjun Zhang, Yan Pei, Weiguo Fang, Yanhua Fan, Yuehua Xiao, Jincheng Ma, Jing Feng, Xingyong Yang and Guoxiong Peng. Their work appears in journals such as Applied Microbiology and Biotechnology, Journal of Fungi, Fungal Genetics and Biology, Current Genetics and Journal of Invertebrate Pathology.

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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