Kai Jin

477 citations
59 papers · 280 · h-index 10

Impact in

    • Animal Genetics and Reproduction
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Sperm and Testicular Function

Papers in

    • CRISPR and Genetic Engineering 26
    • RNA Interference and Gene Delivery 12
    • Pluripotent Stem Cells Research 6
    • Epigenetics and DNA Methylation 5
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • Animal Genetics and Reproduction 36
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 13

Kai Jin

51 papers receiving 278 citations

Peers

Kai Jin
Comparison fields: 5 of 69
  • Genetics 147
  • Reproductive Medicine 30
  • Molecular Biology 188
  • Cancer Research 26
  • Physiology 6
Replace Bichun Li with:
Bichun Li China
Bichun Li China
Qisheng Zuo China
Qisheng Zuo China
Kaixiang Xu China
Andrew Ha United States
Haiquan Yu China
Ming Cang China
Yanjun Zhang China
Jasin Taelman Belgium
Kai Jin relative to Bichun Li China Bichun Li's profile →
Citations per field
00.5×1.5×2.2×
Bichun Li · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201624
2 202217
3 202314
4 202014
5 202013
6 201811
7 201811
8 201611
9 202010
10 20189
11 20209
12 20248
13 20218
14 20238
15 20207
16 20247
17 20246
18 20235
19 20235
20 20215

About Kai Jin

Kai Jin is a scholar working on Molecular Biology, Genetics, Reproductive Medicine, Cancer Research and Surgery, having authored 59 papers that have together received 280 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (36 papers), CRISPR and Genetic Engineering (26 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), RNA Interference and Gene Delivery (12 papers), Sperm and Testicular Function (9 papers), Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Genetics (147 citations), Reproductive Medicine (30 citations), Molecular Biology (188 citations), Cancer Research (26 citations) and Physiology (6 citations). Kai Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yani Zhang, Jiuzhou Song, Qisheng Zuo, Qisheng Zuo, Bichun Li, Bichun Li, Guohong Chen, Guohong Chen, Yingjie Niu and Jing Zhou. Their work appears in journals such as Journal of Cellular Biochemistry, Genes, Animals, Poultry Science and Journal of Integrative Agriculture.

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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