Jun Yu

30.2k citations
340 papers · 14.5k indexed · 4 hit papers · h-index 54
    • Genomics and Phylogenetic Studies 88
    • RNA and protein synthesis mechanisms 56
    • RNA modifications and cancer 32
    • RNA Research and Splicing 24
  • Plant Science top 0.2%
    • Chromosomal and Genetic Variations 21
  • Genetics top 0.5%
    • Genetic diversity and population structure 17
    • Microbial Community Ecology and Physiology 17
    • Bacteriophages and microbial interactions 15

Jun Yu

322 papers receiving 14.2k citations

Hit Papers

KaKs_Calculator 2.0: A Toolkit Incorporating Gamma-Series...1.4k200220262010201850010001.5k

Peers

Jun Yu
Comparison fields: 5 of 201
  • Molecular Biology 9.0k
  • Plant Science 4.7k
  • Genetics 2.7k
  • Cancer Research 1.4k
  • Horticulture 47
Replace Ruiqiang Li with:
Ruiqiang Li China
Songnian Hu China
Ana Conesa Spain
Huanming Yang China
Atsushi Toyoda Japan
Andreas Heger United Kingdom
Yingrui Li China
Corina Antonescu United States
Thomas Keane United Kingdom
Jun Yu relative to Ruiqiang Li China Ruiqiang Li's profile →
Citations per field
00.5×1.5×
Ruiqiang Li · 1×
Citations per year

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20246
3 20241
4 20245
5 20231
6 20223
7 202210
8 20206
9 20204
10 20205
11 20207
12 20208
13 20194
14 201810
15 201844
16 20171
17 201556
18 201534
19 201422
20 201096

About Jun Yu

Jun Yu is a scholar working on Molecular Biology, Aging and Genetics, having authored 340 papers that have together received 14.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (88 papers), RNA and protein synthesis mechanisms (56 papers), RNA modifications and cancer (32 papers), RNA Research and Splicing (24 papers), Chromosomal and Genetic Variations (21 papers), Microbial Community Ecology and Physiology (17 papers), Genetic diversity and population structure (17 papers) and Bacteriophages and microbial interactions (15 papers). The work is most often cited by research in Molecular Biology (9.0k citations), Plant Science (4.7k citations) and Genetics (2.7k citations). Jun Yu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Songnian Hu, Zhang Zhang, Jiang Zhu, Dapeng Wang, Yubin Zhang, Mengliang Cao, Jiabin Tang, Jing Liu, Gane Ka‐Shu Wong and Jun Wang. Their work appears in journals such as Genomics Proteomics & Bioinformatics, PLoS ONE, BMC Genomics, Science China Life Sciences and Genomics.

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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