Jun Yoshimura
Impact in
- Aging top 5%
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- RNA Interference and Gene Delivery
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
Papers in
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- RNA modifications and cancer 4
- RNA regulation and disease 3
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- Genetic Neurodegenerative Diseases 4
- Co-authors
- Shinichi Morishita (33 shared papers)Kumiko Ui‐Tei (1 shared paper)Yuki Naito (1 shared paper)Jun Mitsui (25 shared papers)Shoji Tsuji (23 shared papers)Hiroyuki Ishiura (22 shared papers)Koichiro Doi (17 shared papers)K. Kohra (2 shared papers)
- Journals
- Journal of Crystal Growth (5 papers)Journal of the Neurological Sciences (4 papers)Bioinformatics (3 papers)Composite Structures (2 papers)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Jun Yoshimura
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Aging 44
- Molecular Biology 612
- Neurology 113
- Neurology 58
- Genetics 162
Countries citing papers authored by Jun Yoshimura
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
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.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 179 | |
| 2 | 2019 | 82 | |
| 3 | 2017 | 70 | |
| 4 | 2013 | 66 | |
| 5 | 2019 | 58 | |
| 6 | 2013 | 56 | |
| 7 | 2013 | 50 | |
| 8 | 2013 | 42 | |
| 9 | 2017 | 39 | |
| 10 | 1979 | 38 | |
| 11 | 2021 | 36 | |
| 12 | 2012 | 32 | |
| 13 | 2018 | 27 | |
| 14 | 1976 | 25 | |
| 15 | 2016 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2016 | 20 | |
| 18 | 2001 | 18 | |
| 19 | 2017 | 16 | |
| 20 | 2001 | 16 |
About Jun Yoshimura
Jun Yoshimura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Genetics, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (6 papers), Acoustic Wave Resonator Technologies (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), RNA modifications and cancer (4 papers), RNA regulation and disease (3 papers), Metabolism and Genetic Disorders (3 papers) and Electronic and Structural Properties of Oxides (3 papers). The work is most often cited by research in Aging (44 citations), Molecular Biology (612 citations), Neurology (113 citations), Neurology (58 citations) and Genetics (162 citations). Jun Yoshimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shinichi Morishita, Kumiko Ui‐Tei, Yuki Naito, Jun Mitsui, Shoji Tsuji, 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, Composite Structures and Scientific Reports.
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.