Jun-Yan Kang

1.4k citations
10 papers · 882 · h-index 7

Impact in

Papers in

    • RNA and protein synthesis mechanisms 3
    • RNA Research and Splicing 2
    • Molecular Biology Techniques and Applications 1
    • Epigenetics and DNA Methylation 1
    • Ubiquitin and proteasome pathways 1
    • Chromosomal and Genetic Variations 4

Jun-Yan Kang

9 papers receiving 869 citations

Peers

Jun-Yan Kang
Comparison fields: 5 of 56
  • Reproductive Medicine 143
  • Plant Science 423
  • Cancer Research 144
  • Aging 18
  • Molecular Biology 644
Replace Oliver Meikar with:
Oliver Meikar Finland
Kanako Kojima‐Kita Japan
Julio M Castaneda United States
Carmine Pittoggi Italy
Yusuke Shiromoto Japan
Peijing Jeremy Wang United States
Nicole Ortogero United States
Alain Pinton France
Bernard A. J. Roelen Netherlands
Shangying Liao China
Jun-Yan Kang relative to Oliver Meikar Finland Oliver Meikar's profile →
Citations per field
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Oliver Meikar · 1×
Citations per year

Countries citing papers authored by Jun-Yan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Yan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Yan Kang. 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 Jun-Yan Kang. The network helps show where Jun-Yan Kang may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2014342
2 2015250
3 2017206
4 201945
5 202114
6 202312
7 20238
8 20174
9 20181
10 20230

About Jun-Yan Kang

Jun-Yan Kang is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Dermatology, having authored 10 papers that have together received 882 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Molecular Biology Techniques and Applications (1 paper), Epigenetics and DNA Methylation (1 paper), Ubiquitin and proteasome pathways (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Reproductive Medicine (143 citations), Plant Science (423 citations), Cancer Research (144 citations), Aging (18 citations) and Molecular Biology (644 citations). Jun-Yan Kang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Mo‐Fang Liu, Peng Dai, Lan‐Tao Gou, Xiang‐Dong Fu, Yuanchao Xue, Min-Min Hua, Shuang Zhao, Xin Wang, Shunmin He and Peng Zhang. Their work appears in journals such as Cell Research, Obstetrical & Gynecological Survey, Development, RNA Biology and Cell Discovery.

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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