Koichi Nakazato

3.9k total citations
163 papers, 3.0k citations indexed

About

Koichi Nakazato is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Koichi Nakazato has authored 163 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Orthopedics and Sports Medicine, 57 papers in Molecular Biology and 54 papers in Cell Biology. Recurrent topics in Koichi Nakazato's work include Muscle Physiology and Disorders (50 papers), Muscle metabolism and nutrition (48 papers) and Exercise and Physiological Responses (42 papers). Koichi Nakazato is often cited by papers focused on Muscle Physiology and Disorders (50 papers), Muscle metabolism and nutrition (48 papers) and Exercise and Physiological Responses (42 papers). Koichi Nakazato collaborates with scholars based in Japan, United States and South Korea. Koichi Nakazato's co-authors include Naokata Ishii, Riki Ogasawara, Naoki Kikuchi, Eisuke Ochi, Satoshi Fujita, Julius Fink, Hong‐Sun Song, H. Madarame, Karina Kouzaki and Brad J. Schöenfeld and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

Koichi Nakazato

155 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichi Nakazato Japan 29 975 924 820 740 617 163 3.0k
Philip M. Gallagher United States 27 1.0k 1.1× 1.2k 1.3× 996 1.2× 1.4k 1.9× 617 1.0× 81 3.4k
Monica J. Hubal United States 26 1.5k 1.6× 1.2k 1.3× 896 1.1× 912 1.2× 1.6k 2.5× 66 4.1k
Alan Hayes Australia 34 578 0.6× 1.3k 1.4× 1.1k 1.3× 1.4k 1.9× 637 1.0× 129 3.6k
Juha J. Hulmi Finland 35 741 0.8× 1.5k 1.6× 1.3k 1.6× 1.7k 2.3× 809 1.3× 97 3.7k
Juha P. Ahtiainen Finland 32 1.6k 1.7× 645 0.7× 1.1k 1.3× 1.2k 1.7× 867 1.4× 96 3.7k
Cameron J. Mitchell Canada 34 1.3k 1.3× 1.3k 1.4× 1.9k 2.3× 1.5k 2.0× 608 1.0× 92 3.9k
Kaelin C. Young United States 30 806 0.8× 557 0.6× 725 0.9× 889 1.2× 332 0.5× 100 2.3k
James D. Fluckey United States 33 659 0.7× 1.0k 1.1× 942 1.1× 1.2k 1.7× 454 0.7× 86 2.7k
Niels Ørtenblad Denmark 38 1.4k 1.4× 1.3k 1.4× 1.7k 2.1× 1.7k 2.2× 929 1.5× 113 4.2k
Peter M. Tiidus Canada 31 857 0.9× 846 0.9× 871 1.1× 726 1.0× 1.6k 2.7× 87 3.0k

Countries citing papers authored by Koichi Nakazato

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Nakazato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Nakazato

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Nakazato. A scholar is included among the top collaborators of Koichi Nakazato 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 Koichi Nakazato. Koichi Nakazato 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.
Miyamoto‐Mikami, Eri, Mika Saito, Shingo Matsumoto, et al.. (2025). Association of the GALNTL6 polymorphism with muscle strength in Japanese athletes. Biology of Sport. 42(3). 161–167.
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Tamura, Yuki, et al.. (2024). Post-exercise hot-water immersion is not effective for ribosome biogenesis in rat skeletal muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 327(6). R601–R615. 2 indexed citations
5.
Guilherme, João Paulo Limongi França, Ekaterina A. Semenova, Naoki Kikuchi, et al.. (2024). Identification of Genomic Predictors of Muscle Fiber Size. Cells. 13(14). 1212–1212. 5 indexed citations
6.
Kouzaki, Karina & Koichi Nakazato. (2024). Pulsed electromagnetic fields attenuate human musculocutaneous nerve damage induced by biceps eccentric contractions. Bioelectromagnetics. 46(1). e22525–e22525.
7.
Tamura, Yuki, et al.. (2024). Monocarboxylate transporter 4 deficiency enhances high‐intensity interval training‐induced metabolic adaptations in skeletal muscle. The Journal of Physiology. 602(7). 1313–1340. 6 indexed citations
8.
Kusubata, Masashi, et al.. (2023). Dietary collagen peptides alleviate exercise-induced muscle soreness in healthy middle-aged males: a randomized double-blinded crossover clinical trial. Journal of the International Society of Sports Nutrition. 20(1). 2206392–2206392. 13 indexed citations
9.
Mori, Takahiro, Satoru Ato, Jonas R. Knudsen, et al.. (2021). c-Myc overexpression increases ribosome biogenesis and protein synthesis independent of mTORC1 activation in mouse skeletal muscle. American Journal of Physiology-Endocrinology and Metabolism. 321(4). E551–E559. 22 indexed citations
10.
Kikuchi, Naoki, Yuki Tamura, Yoshiaki Yamanaka, et al.. (2021). The ALDH2 rs671 polymorphism is associated with athletic status and muscle strength in a Japanese population. Biology of Sport. 39(2). 429–434. 9 indexed citations
11.
Ashida, Kinya, et al.. (2020). Fermented milk retains beneficial effects on skeletal muscle protein anabolism after processing by centrifugation and supernatant removal. Journal of Dairy Science. 104(2). 1336–1350. 4 indexed citations
12.
Ato, Satoru, et al.. (2019). The Effect of Changing the Contraction Mode During Resistance Training on mTORC1 Signaling and Muscle Protein Synthesis. Frontiers in Physiology. 10. 406–406. 15 indexed citations
13.
Nakazato, Koichi, et al.. (2017). Ribosome biogenesis is activated during the early period of resistance training in rat skeletal muscle. The FASEB Journal. 31(S1). 1 indexed citations
14.
Ogasawara, Riki, Satoshi Fujita, Troy A. Hornberger, et al.. (2016). The role of mTOR signalling in the regulation of skeletal muscle mass in a rodent model of resistance exercise. Scientific Reports. 6(1). 31142–31142. 145 indexed citations
15.
Kikuchi, Naoki & Koichi Nakazato. (2015). Effective utilization of genetic information for athletes and coaches: focus on ACTN3 R577X polymorphism. Physical Activity and Nutrition. 6(1). 157–164. 2 indexed citations
16.
Ochi, Eisuke, Naokata Ishii, & Koichi Nakazato. (2010). TIME COURSE CHANGE OF IGF1/AKT/MTOR/P70S6K PATHWAY ACTIVATION IN RAT GASTROCNEMIUS MUSCLE DURING REPEATED BOUTS OF ECCENTRIC EXERCISE. SHILAP Revista de lepidopterología. 11 indexed citations
17.
Ochi, Eisuke, Naokata Ishii, & Koichi Nakazato. (2010). Time Course Change of IGF1/Akt/mTOR/p70s6k Pathway Activation in Rat Gastrocnemius Muscle During Repeated Bouts of Eccentric Exercise.. PubMed. 9(2). 170–5. 15 indexed citations
18.
Nakazato, Koichi, et al.. (2009). PHYSICAL CHARACTERISTICS OF COLLEGIATE TRACK AND FIELD ATHLETES WITH LOW BACK PAIN. Japanese Journal of Physical Fitness and Sports Medicine. 58(1). 99–108. 4 indexed citations
19.
Nakazato, Koichi, Tatsuro Hirose, & Hong‐Sun Song. (2006). Increased Myostatin Synthesis in Rat Gastrocnemius Muscles under High-Protein Diet. International Journal of Sport Nutrition and Exercise Metabolism. 16(2). 153–165. 12 indexed citations
20.
Yamamoto, Yosuke, et al.. (2005). EFFECTS OF DYNAMIC NECK MUSCLE TRAINING ON STRENGTH AND CROSS-SECTIONAL AREA OF NECK MUSCLES IN JUDO ATHLETES. Japanese Journal of Physical Fitness and Sports Medicine. 54(3). 249–258. 2 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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