Masafumi Matsuo

11.3k total citations
395 papers, 8.3k citations indexed

About

Masafumi Matsuo is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Masafumi Matsuo has authored 395 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 275 papers in Molecular Biology, 58 papers in Genetics and 57 papers in Physiology. Recurrent topics in Masafumi Matsuo's work include Muscle Physiology and Disorders (140 papers), RNA Research and Splicing (86 papers) and RNA modifications and cancer (46 papers). Masafumi Matsuo is often cited by papers focused on Muscle Physiology and Disorders (140 papers), RNA Research and Splicing (86 papers) and RNA modifications and cancer (46 papers). Masafumi Matsuo collaborates with scholars based in Japan, United States and Indonesia. Masafumi Matsuo's co-authors include Yasuhiro Takeshima, Hisahide Nishio, Mariko Yagi, Hajime Nakamura, Kazumoto Iijima, Hiroyuki Awano, Kandai Nozu, Toshiyuki Sakaeda, Katsuhiko Okumura and Hiroko Wada and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Masafumi Matsuo

384 papers receiving 8.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masafumi Matsuo Japan 46 5.2k 1.3k 1.1k 1.0k 982 395 8.3k
Cheryl R. Greenberg Canada 54 6.3k 1.2× 1.8k 1.4× 692 0.6× 508 0.5× 605 0.6× 218 10.2k
Andrew P. Levy Israel 50 4.6k 0.9× 729 0.6× 1.2k 1.1× 523 0.5× 854 0.9× 179 9.9k
Christian Bauer Germany 47 3.0k 0.6× 1.3k 1.0× 715 0.7× 965 0.9× 662 0.7× 166 8.7k
Armin Kurtz Germany 62 6.1k 1.2× 1.0k 0.8× 724 0.7× 1.2k 1.2× 2.5k 2.6× 403 13.2k
Rodney E. Kellems United States 56 4.3k 0.8× 1.5k 1.1× 1.5k 1.3× 385 0.4× 513 0.5× 187 8.9k
Cheryl A. Conover United States 63 5.9k 1.1× 1.7k 1.3× 1.8k 1.6× 394 0.4× 1.8k 1.8× 239 13.8k
Joachim Fandrey Germany 56 3.8k 0.7× 1.4k 1.1× 391 0.4× 1.0k 1.0× 310 0.3× 206 10.0k
Eliécer Coto Spain 45 3.3k 0.6× 2.1k 1.6× 482 0.4× 249 0.2× 1.1k 1.1× 304 8.1k
Martin Farrall United Kingdom 47 3.1k 0.6× 3.2k 2.4× 782 0.7× 1.4k 1.3× 1.8k 1.8× 123 10.2k
Susan E. Quaggin United States 60 6.0k 1.2× 1.5k 1.2× 832 0.8× 428 0.4× 913 0.9× 156 12.2k

Countries citing papers authored by Masafumi Matsuo

Since Specialization
Citations

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

Fields of papers citing papers by Masafumi Matsuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masafumi Matsuo

This figure shows the co-authorship network connecting the top 25 collaborators of Masafumi Matsuo. A scholar is included among the top collaborators of Masafumi Matsuo 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 Masafumi Matsuo. Masafumi Matsuo 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
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Yamamoto, Tetsushi, Hiroyuki Awano, Shuichiro Ogawa, & Masafumi Matsuo. (2024). Clinical Utility of Synthesized 18-Lead Electrocardiography. Sensors. 24(18). 5947–5947. 1 indexed citations
4.
Awano, Hiroyuki, Tetsushi Yamamoto, Tomoko Lee, et al.. (2024). Longitudinal data of serum creatine kinase levels and motor, pulmonary, and cardiac functions in 337 patients with Duchenne muscular dystrophy. Muscle & Nerve. 69(5). 604–612. 2 indexed citations
5.
Takeda, Atsuhito, M. Ueki, Jiro Abe, et al.. (2023). A case of infantile Barth syndrome with severe heart failure: Importance of splicing variants in the TAZ gene. Molecular Genetics & Genomic Medicine. 11(7). e2190–e2190. 4 indexed citations
6.
Okamoto, Takayuki, Nana Sakakibara, Kandai Nozu, et al.. (2020). Onset mechanism of a female patient with Dent disease 2. Clinical and Experimental Nephrology. 24(10). 946–954. 1 indexed citations
7.
Matsuo, Masafumi, Hiroyuki Awano, Nobuhiro Maruyama, & Hisahide Nishio. (2019). Titin fragment in urine: A noninvasive biomarker of muscle degradation. Advances in clinical chemistry. 90. 1–23. 28 indexed citations
8.
Maruyama, Nobuhiro, Tsuyoshi Asai, Chiaki Abe, et al.. (2016). Establishment of a highly sensitive sandwich ELISA for the N-terminal fragment of titin in urine. Scientific Reports. 6(1). 39375–39375. 55 indexed citations
9.
Sólyom, Szilvia, Adam D. Ewing, Dustin C. Hancks, et al.. (2011). Pathogenic orphan transduction created by a nonreference LINE-1 retrotransposon. Human Mutation. 33(2). 369–371. 32 indexed citations
10.
Takeshima, Yasuhiro, Atsushi Nishida, Hiroyuki Awano, et al.. (2011). A G-to-T Transversion at the Splice Acceptor Site of Dystrophin Exon 14 Shows Multiple Splicing Outcomes That Are Not Exemplified by Transition Mutations. Genetic Testing and Molecular Biomarkers. 16(1). 3–8. 1 indexed citations
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Morikawa, Satoru, Richard H. Kaszynski, Myeong Jin Lee, et al.. (2011). Diagnosis of Spinal Muscular Atrophy Via High-Resolution Melting Analysis Symmetric Polymerase Chain Reaction Without Probe: A Screening Evaluation for SMN1 Deletions and Intragenic Mutations. Genetic Testing and Molecular Biomarkers. 15(10). 677–684. 7 indexed citations
12.
Takeshima, Yasuhiro, Mariko Yagi, Yo Okizuka, et al.. (2010). Mutation spectrum of the dystrophin gene in 442 Duchenne/Becker muscular dystrophy cases from one Japanese referral center. Journal of Human Genetics. 55(6). 379–388. 188 indexed citations
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Matsuo, Masafumi & Yasuhiro Takeshima. (2009). [Mutation-specific treatments for Duchenne muscular dystrophy].. PubMed. 61(8). 915–22. 1 indexed citations
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Okizuka, Yo, Yasuhiro Takeshima, Hiroyuki Awano, et al.. (2009). Small Mutations Detected by Multiplex Ligation-Dependent Probe Amplification of the Dystrophin Gene. Genetic Testing and Molecular Biomarkers. 13(3). 427–431. 16 indexed citations
15.
Enomoto, Masahiro, Ichiro Morioka, Yumi Sato, et al.. (2008). A Survival Case of Severe Congenital Myotonic Dystrophy with Hydrops Fetalis and Chylothorax, Which has 2,800 to 3,000 CTG Repeats in Myotonic Dystrophy Protein Kinase Gene on Chromosome 19q13.3. 20(1). 85–90. 1 indexed citations
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Yoshioka, Shiro, Yasuhiko Okimura, Yutaka Takahashi, et al.. (2004). Up-regulation of mitochondrial transcription factor 1 mRNA levels by GH in VSMC. Life Sciences. 74(17). 2097–2109. 5 indexed citations
18.
Nakamura, Tsutomu, Toshiyuki Sakaeda, Masanori Horinouchi, et al.. (2002). Effect of the mutation (C3435T) at exon 26 of the MDR1 gene on expression level of MDR1 messenger ribonucleic acid in duodenal enterocytes of healthy Japanese subjects. Clinical Pharmacology & Therapeutics. 71(4). 297–303. 230 indexed citations
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Tachi, Nobutada, Shunzo Chiba, Masafumi Matsuo, Kiichiro Matsumura, & Kayoko Saito. (2001). Fukuyama muscular dystrophy associated with lack of C-terminal domain of dystrophin. Pediatric Neurology. 24(5). 373–378. 1 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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