Jun Yoshimura

3.3k citations
49 papers · 1.1k indexed · h-index 18

Impact in

  • Aging top 5%
    • Genomics and Phylogenetic Studies
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
    • Advanced biosensing and bioanalysis techniques
    • RNA modifications and cancer

Papers in

    • Neurogenetic and Muscular Disorders Research 7

Jun Yoshimura

47 papers receiving 1.0k citations

Peers

Jun Yoshimura
Comparison fields: 5 of 110
  • Aging 43
  • Molecular Biology 652
  • Neurology 124
  • Neurology 66
  • Genetics 66
Replace Yûkô Takeuchi with:
Yûkô Takeuchi Japan
Binoy Appukuttan United States
Peter Heimann Germany
Takefumi Sone Japan
Yukio Kato Japan
Claire Allen United Kingdom
Oliver P. Forman United Kingdom
Abdul Karim Sesay United Kingdom
Rhys Roberts United Kingdom
Robert O. Kelley United States
Jun Yoshimura relative to Yûkô Takeuchi Japan Yûkô Takeuchi's profile →
Citations per field
00.5×3.6×
Yûkô Takeuchi · 1×
Citations per year

Countries citing papers authored by Jun Yoshimura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yoshimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 201975
3 201768
4 201366
5 201956
6 201356
7 201350
8 201342
9 201739
10 197938
11 202134
12 201232
13 201827
14 197625
15 201620
16 201619
17 200118
18 202018
19 201716
20 200115

About Jun Yoshimura

Jun Yoshimura is a scholar working on Genetics, Aging, Neurology, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (7 papers), Acoustic Wave Resonator Technologies (5 papers), Genomics and Phylogenetic Studies (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (4 papers), Mitochondrial Function and Pathology (4 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Aging (43 citations), Molecular Biology (652 citations), Neurology (124 citations), Neurology (66 citations) and Genetics (66 citations). Jun Yoshimura has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Shinichi Morishita, Yuki Naito, Kumiko Ui‐Tei, Shoji Tsuji, Jun Mitsui, Hiroyuki Ishiura, Koichiro Doi, K. Kohra, Kazuki Ichikawa and Yuji Takahashi. Their work appears in journals such as Journal of Crystal Growth, Journal of the Neurological Sciences, Bioinformatics, Scientific Reports and Composite Structures.

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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