Jun Tanihata

1.3k total citations
40 papers, 906 citations indexed

About

Jun Tanihata is a scholar working on Molecular Biology, Physiology and Rehabilitation. According to data from OpenAlex, Jun Tanihata has authored 40 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Physiology and 8 papers in Rehabilitation. Recurrent topics in Jun Tanihata's work include Muscle Physiology and Disorders (21 papers), Adipose Tissue and Metabolism (10 papers) and Exercise and Physiological Responses (8 papers). Jun Tanihata is often cited by papers focused on Muscle Physiology and Disorders (21 papers), Adipose Tissue and Metabolism (10 papers) and Exercise and Physiological Responses (8 papers). Jun Tanihata collaborates with scholars based in Japan, United Kingdom and Canada. Jun Tanihata's co-authors include Shin’ichi Takeda, Yoshitsugu Aoki, Tetsuya Nagata, Kazuhiko Imaizumi, Toshifumi Yokota, Akinori Nakamura, Kaoru Tachiyashiki, Kanneboyina Nagaraju, Takashi Saito and Shogo Sato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Jun Tanihata

39 papers receiving 893 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Tanihata Japan 17 700 166 117 112 89 40 906
Leticia Brotto United States 18 553 0.8× 214 1.3× 135 1.2× 98 0.9× 35 0.4× 37 853
Guidantonio Malagoli Tagliazucchi Italy 16 603 0.9× 317 1.9× 133 1.1× 96 0.9× 63 0.7× 20 1.2k
Rachel E. Thomson United States 12 704 1.0× 287 1.7× 56 0.5× 152 1.4× 92 1.0× 16 902
Tepmanas Bupha‐Intr Thailand 17 525 0.8× 204 1.2× 303 2.6× 97 0.9× 45 0.5× 31 963
Emilie Passerieux France 12 557 0.8× 178 1.1× 54 0.5× 35 0.3× 51 0.6× 22 845
Enrico Bertaggia Italy 10 676 1.0× 337 2.0× 104 0.9× 45 0.4× 54 0.6× 11 1.1k
Kristy M. Kegley United States 7 517 0.7× 128 0.8× 58 0.5× 50 0.4× 60 0.7× 7 737
Yaohui Nie United States 19 587 0.8× 343 2.1× 90 0.8× 60 0.5× 32 0.4× 28 965
Darin Bloemberg Canada 17 826 1.2× 446 2.7× 140 1.2× 59 0.5× 61 0.7× 33 1.3k
April Hawkins United States 5 776 1.1× 104 0.6× 82 0.7× 173 1.5× 135 1.5× 6 1.4k

Countries citing papers authored by Jun Tanihata

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tanihata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tanihata

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tanihata. A scholar is included among the top collaborators of Jun Tanihata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Tanihata. Jun Tanihata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nagata, Tetsuya, Kensuke Ihara, Jun Tanihata, et al.. (2024). Heteroduplex oligonucleotide technology boosts oligonucleotide splice switching activity of morpholino oligomers in a Duchenne muscular dystrophy mouse model. Nature Communications. 15(1). 7530–7530. 5 indexed citations
2.
Matsuzaka, Yasunari, Jun Tanihata, Daisuke Yamada, et al.. (2020). The nSMase2/Smpd3 gene modulates the severity of muscular dystrophy and the emotional stress response in mdx mice. BMC Medicine. 18(1). 343–343. 13 indexed citations
3.
Tanihata, Jun, et al.. (2020). Troponin T amino acid mutation (ΔK210) knock-in mice as a neonatal dilated cardiomyopathy model. Pediatric Research. 89(4). 846–857. 1 indexed citations
4.
Johansson, Henrik J., Britt Hanson, Anna Coenen-Stass, et al.. (2020). Mutation-independent Proteomic Signatures of Pathological Progression in Murine Models of Duchenne Muscular Dystrophy. Molecular & Cellular Proteomics. 19(12). 2047–2068. 25 indexed citations
5.
Maruyama, Yusuke, et al.. (2020). iNOS is not responsible for RyR1 S-nitrosylation in mdx mice with truncated dystrophin. BMC Musculoskeletal Disorders. 21(1). 479–479. 3 indexed citations
6.
7.
MASAKI, Y., Keishi Yamamoto, Tetsuya Nagata, et al.. (2018). Synthesis of 2′-O-(N-methylcarbamoylethyl) 5-methyl-2-thiouridine and its application to splice-switching oligonucleotides. Bioorganic & Medicinal Chemistry Letters. 29(2). 160–163. 2 indexed citations
8.
Tanihata, Jun, Tetsuya Nagata, Naoki Ito, et al.. (2018). Truncated dystrophin ameliorates the dystrophic phenotype of mdx mice by reducing sarcolipin-mediated SERCA inhibition. Biochemical and Biophysical Research Communications. 505(1). 51–59. 27 indexed citations
9.
Tanihata, Jun, et al.. (2017). Low-Intensity Training and the C5a Complement Antagonist NOX-D21 Rescue the mdx Phenotype through Modulation of Inflammation. American Journal Of Pathology. 187(5). 1147–1161. 21 indexed citations
10.
Tanihata, Jun & Shin’ichi Takeda. (2017). [Changes in cytosolic Ca 2+ dynamics associated with muscular dystrophy.]. PubMed. 26(12). 1677–1683. 2 indexed citations
11.
12.
Suzuki, Hitoshi, Yoshitsugu Aoki, T. Kameyama, et al.. (2016). Endogenous Multiple Exon Skipping and Back-Splicing at the DMD Mutation Hotspot. International Journal of Molecular Sciences. 17(10). 1722–1722. 36 indexed citations
13.
Matsuzaka, Yasunari, Jun Tanihata, Hirofumi Komaki, et al.. (2016). Characterization and Functional Analysis of Extracellular Vesicles and Muscle-Abundant miRNAs (miR-1, miR-133a, and miR-206) in C2C12 Myocytes and mdx Mice. PLoS ONE. 11(12). e0167811–e0167811. 58 indexed citations
14.
Tanihata, Jun, et al.. (2015). Low intensity training of mdx mice reduces carbonylation and increases expression levels of proteins involved in energy metabolism and muscle contraction. Free Radical Biology and Medicine. 82. 122–136. 35 indexed citations
15.
Sato, Shogo, et al.. (2009). Adaptive effects of the β2-agonist clenbuterol on expression of β2-adrenoceptor mRNA in rat fast-twitch fiber-rich muscles. The Journal of Physiological Sciences. 60(2). 119–127. 13 indexed citations
16.
Tanihata, Jun, Shogo Sato, Ken Shirato, et al.. (2009). Acute Effects of Dihydrocapsaicin and Capsaicin on the Distribution of White Blood Cells in Rats. Journal of Nutritional Science and Vitaminology. 55(3). 282–287. 13 indexed citations
17.
Sato, Shogo, et al.. (2008). Effects of the β2-Agonist Clenbuterol on β1- and β2-Adrenoceptor mRNA Expressions of Rat Skeletal and Left Ventricle Muscles. Journal of Pharmacological Sciences. 107(4). 393–400. 32 indexed citations
18.
Tanihata, Jun, Naoki Suzuki, Yuko Miyagoe‐Suzuki, Kazuhiko Imaizumi, & Shin’ichi Takeda. (2008). Downstream utrophin enhancer is required for expression of utrophin in skeletal muscle. The Journal of Gene Medicine. 10(6). 702–713. 10 indexed citations
19.
Shirato, Ken, Jun Tanihata, Norio Motohashi, et al.. (2007). β2-Agonist Clenbuterol Induced Changes in the Distribution of White Blood Cells in Rats. Journal of Pharmacological Sciences. 104(2). 146–152. 18 indexed citations
20.
Shirato, Ken, Norio Motohashi, Jun Tanihata, et al.. (2006). Effects of two types of inactivity on the number of white blood cells in rats. European Journal of Applied Physiology. 98(6). 590–600. 15 indexed citations

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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