Jin She-lin

490 citations
11 papers · 396 · h-index 6

Impact in

    • Wheat and Barley Genetics and Pathology
    • Plant Disease Resistance and Genetics
    • Genetics and Plant Breeding
    • Plant Pathogens and Resistance
    • Plant-Microbe Interactions and Immunity
    • Bioenergy crop production and management

Papers in

    • Wheat and Barley Genetics and Pathology 10
    • Plant Disease Resistance and Genetics 6
    • Mycotoxins in Agriculture and Food 2
    • Berry genetics and cultivation research 1
    • Powdery Mildew Fungal Diseases 1
    • Plant-Microbe Interactions and Immunity 1
    • Yeasts and Rust Fungi Studies 7

Jin She-lin

10 papers receiving 379 citations

Peers

Jin She-lin
Comparison fields: 5 of 20
  • Plant Science 392
  • Agronomy and Crop Science 55
  • Genetics 104
  • Molecular Biology 198
  • Cell Biology 18
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Citations per field
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Citations per year

Countries citing papers authored by Jin She-lin

Since Specialization
Citations

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

Fields of papers citing papers by Jin She-lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin She-lin, 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 Jin She-lin Line = papers co-authored together Jin She-lin links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2004317
2 201225
3 201520
4 200911
5
Discovery and studies on CY32, a new race of Puccinia striiformis f. sp. tritici in China
20037
6 20116
7 20124
8
Discovery of New Stripe Rust Strain Infected to China's Major Wheat Resistant Material Guinong 22 and Its Preliminary Pathogenicity Analysis
20122
9
Tending to prevalence and progress of CY32 and Shuiyuan14 pathotypes in Gansu Province
20072
10 20112
11 20240

About Jin She-lin

Jin She-lin is a scholar working on Plant Science, Molecular Biology, Agronomy and Crop Science, Genetics and Infectious Diseases, having authored 11 papers that have together received 396 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (10 papers), Yeasts and Rust Fungi Studies (7 papers), Plant Disease Resistance and Genetics (6 papers), Mycotoxins in Agriculture and Food (2 papers), Berry genetics and cultivation research (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Powdery Mildew Fungal Diseases (1 paper) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Plant Science (392 citations), Agronomy and Crop Science (55 citations), Genetics (104 citations), Molecular Biology (198 citations) and Cell Biology (18 citations). Jin She-lin has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xianming Chen, Qiuzhen Jia, Anmin Wan, Yao Ge, Baotong Wang, Zhonghu He, Gaobao Li, Zhonghua Zhao, Zhensheng Kang and Lili Huang. Their work appears in journals such as Fungal Biology, Crop Protection, Journal of Microbiological Methods, Plants and Plant Disease.

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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