Shinya Kuno

5.9k total citations
152 papers, 4.5k citations indexed

About

Shinya Kuno is a scholar working on Physiology, Orthopedics and Sports Medicine and Biomedical Engineering. According to data from OpenAlex, Shinya Kuno has authored 152 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Physiology, 36 papers in Orthopedics and Sports Medicine and 35 papers in Biomedical Engineering. Recurrent topics in Shinya Kuno's work include Cardiovascular and exercise physiology (30 papers), Sports Performance and Training (28 papers) and Muscle activation and electromyography studies (27 papers). Shinya Kuno is often cited by papers focused on Cardiovascular and exercise physiology (30 papers), Sports Performance and Training (28 papers) and Muscle activation and electromyography studies (27 papers). Shinya Kuno collaborates with scholars based in Japan, India and United States. Shinya Kuno's co-authors include Tetsuo Fukunaga, Seiji Maeda, Jun Sugawara, Yasuo Kawakami, Mitsuo Matsuda, Haruka Murakami, Hiroaki Kanehisa, Kai Tanabe, Hiroshi Akima and Motoyuki Iemitsu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

In The Last Decade

Shinya Kuno

146 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Kuno Japan 37 1.3k 1.2k 1.1k 1.1k 1000 152 4.5k
Giuseppe De Vito Ireland 42 2.0k 1.5× 1.7k 1.5× 606 0.5× 1.6k 1.5× 936 0.9× 167 5.8k
Kari K. Kalliokoski Finland 44 892 0.7× 1.8k 1.5× 1.5k 1.4× 512 0.5× 1.4k 1.4× 167 5.2k
Jane A. Kent‐Braun United States 46 2.4k 1.8× 1.2k 1.0× 581 0.5× 2.6k 2.3× 1.3k 1.3× 85 7.1k
Alexander V. Ng United States 27 778 0.6× 766 0.6× 746 0.7× 811 0.7× 614 0.6× 76 3.8k
William F. Brechue United States 30 1.6k 1.2× 575 0.5× 643 0.6× 851 0.8× 993 1.0× 101 3.2k
Alessandro Sartório Italy 42 1.0k 0.8× 2.2k 1.8× 622 0.6× 719 0.7× 566 0.6× 370 7.3k
Anthony P. Marsh United States 40 817 0.6× 1.5k 1.3× 342 0.3× 769 0.7× 537 0.5× 109 4.0k
Robert A. Robergs United States 42 2.4k 1.8× 1.8k 1.5× 1.1k 1.0× 745 0.7× 2.0k 2.0× 188 6.4k
José López Chicharro Spain 39 2.4k 1.8× 686 0.6× 989 0.9× 639 0.6× 1.9k 1.9× 116 4.5k
Gilbert W. Gleim United States 35 2.5k 1.9× 654 0.5× 911 0.8× 954 0.9× 768 0.8× 108 5.8k

Countries citing papers authored by Shinya Kuno

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Kuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Kuno

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Kuno. A scholar is included among the top collaborators of Shinya Kuno 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 Shinya Kuno. Shinya Kuno 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.
Okamoto, Shohei, et al.. (2022). Financial incentives for exercise and medical care costs. RePEc: Research Papers in Economics. 17(1). 95–116. 3 indexed citations
2.
3.
Kim, Junghoon, et al.. (2016). Effects of a Lifestyle-Based Physical Activity Intervention on Medical Expenditure in Japanese Adults: A Community-Based Retrospective Study. BioMed Research International. 2016. 1–6. 8 indexed citations
4.
Kim, Junghoon, Kai Tanabe, Noriko Yokoyama, Hirofumi Zempo, & Shinya Kuno. (2013). Objectively measured light-intensity lifestyle activity and sedentary time are independently associated with metabolic syndrome: a cross-sectional study of Japanese adults. International Journal of Behavioral Nutrition and Physical Activity. 10(1). 30–30. 111 indexed citations
5.
Zempo, Hirofumi, Kai Tanabe, Haruka Murakami, et al.. (2011). Age Differences in the Relation Between ACTN3 R577X Polymorphism and Thigh-Muscle Cross-Sectional Area in Women. Genetic Testing and Molecular Biomarkers. 15(9). 639–643. 11 indexed citations
6.
Zempo, Hirofumi, Kai Tanabe, Haruka Murakami, et al.. (2009). ACTN3Polymorphism Affects Thigh Muscle Area. International Journal of Sports Medicine. 31(2). 138–142. 58 indexed citations
7.
Tanabe, Kai, et al.. (2007). EFFECTS OF WEIGHT-BEARING AND RUBBER BAND TRAINING ON FRAIL ELDERLY. Japanese Journal of Physical Fitness and Sports Medicine. 56(3). 365–376. 1 indexed citations
8.
Hayashi, Yoichi, Kiyoji Tanaka, Hirohito Sone, & Shinya Kuno. (2005). EFFECTS OF AEROBIC TRAINING ON VISCERAL FAT AND GLUCOSE METABOLISM IN OLDER ADULTS. Japanese Journal of Physical Fitness and Sports Medicine. 54(4). 305–313.
9.
Kanehisa, Hiroaki, Shinya Kuno, Shigeru Katsuta, & T. Fukunaga. (2005). A 2‐year follow‐up study on muscle size and dynamic strength in teenage tennis players. Scandinavian Journal of Medicine and Science in Sports. 16(2). 93–101. 24 indexed citations
10.
Ajisaka, Ryuichi, et al.. (2004). 中高年における血しょう中総ホモシステイン,運動性充血,有酸素運動能力. Circulation. 68. 152. 1 indexed citations
11.
Maeda, Seiji, Takashi Miyauchi, Tetsuji Kakiyama, et al.. (2001). Effects of exercise training of 8 weeks and detraining on plasma levels of endothelium-derived factors, endothelin-1 and nitric oxide, in healthy young humans. Life Sciences. 69(9). 1005–1016. 209 indexed citations
12.
Murakami, Haruka, Rika Soma, Jun‐Ichi Hayashi, et al.. (2001). Relationship between Mitochondrial DNA Polymorphism and the Individual Differences in Aerobic Performance.. The Japanese Journal of Physiology. 51(5). 563–568. 14 indexed citations
13.
Kuno, Shinya, Yuichi Kimura, Masaki Mizuno, et al.. (2000). Assessment of Regional Change of Glucose Metabolism after High-Intensity Exercise in Exercised Muscle using Positron Emission Tomography. 6(3). 81–84. 1 indexed citations
14.
Muraoka, Yoshiho, et al.. (2000). Comparison of muscle sympathetic nerve responses during repeated handgrip exercise between the right and the left arm. 6(4). 180.
15.
Akima, Hiroshi, Hideyuki Takahashi, Shinya Kuno, et al.. (1999). Early phase adaptations of muscle use and strength to isokinetic training. Medicine & Science in Sports & Exercise. 31(4). 588–594. 146 indexed citations
16.
Akima, Hiroshi, Hideyuki Takahashi, Shinya Kuno, et al.. (1997). 20.Mapping of muscle activation patterns in the m.quadriceps femoris after knee extension exercise.. Japanese Journal of Physical Fitness and Sports Medicine. 46(4). 436. 1 indexed citations
17.
Akima, Hiroshi, Shinya Kuno, Mitsuharu Inaki, Hitoshi Shimojo, & Shigeru Katsuta. (1997). Effects of Sprint Cycle Training on Architectural Characteristics Torque-velocity Relationships and Power output in Human Skeletal Muscles. 3(1). 9–15. 4 indexed citations
18.
Kuno, Shinya, Takeshi Ogawa, Shigeru Katsuta, & Yuji Itai. (1994). In vivo human myocardial metabolism during aerobic exercise by phosphorus-31 nuclear magnetic resonance spectroscopy. European Journal of Applied Physiology. 69(6). 488–491. 11 indexed citations
19.
Kuno, Shinya, et al.. (1990). Evaluation of exercise muscle energetics by NMR.. The Annals of physiological anthropology. 9(2). 235–239. 3 indexed citations
20.
Kuno, Shinya, et al.. (1988). Relationship between MR relaxation time and muscle fiber composition.. Radiology. 169(2). 567–568. 43 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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