Tadashi Suga

3.0k total citations
87 papers, 2.2k citations indexed

About

Tadashi Suga is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine and Biomedical Engineering. According to data from OpenAlex, Tadashi Suga has authored 87 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Orthopedics and Sports Medicine, 33 papers in Complementary and alternative medicine and 28 papers in Biomedical Engineering. Recurrent topics in Tadashi Suga's work include Sports Performance and Training (40 papers), Cardiovascular and exercise physiology (33 papers) and Sports injuries and prevention (24 papers). Tadashi Suga is often cited by papers focused on Sports Performance and Training (40 papers), Cardiovascular and exercise physiology (33 papers) and Sports injuries and prevention (24 papers). Tadashi Suga collaborates with scholars based in Japan, United States and Indonesia. Tadashi Suga's co-authors include Tadao Isaka, Koichi Okita, Hiroyuki Tsutsui, Shintaro Kinugawa, Kagami Hirabayashi, Shingo Takada, Takashi Yokota, Takafumi Hamaoka, Daichi Tanaka and Takeshi Hashimoto and has published in prestigious journals such as Circulation, PLoS ONE and Circulation Research.

In The Last Decade

Tadashi Suga

84 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tadashi Suga Japan 25 999 851 666 555 308 87 2.2k
Joel D. Trinity United States 31 1.1k 1.1× 1.3k 1.5× 320 0.5× 693 1.2× 297 1.0× 93 2.5k
Andrew W. Subudhi United States 32 798 0.8× 859 1.0× 471 0.7× 518 0.9× 272 0.9× 87 3.2k
Karen M. Birch United Kingdom 28 370 0.4× 783 0.9× 804 1.2× 531 1.0× 555 1.8× 71 2.5k
Ryan S. Garten United States 24 730 0.7× 880 1.0× 281 0.4× 483 0.9× 281 0.9× 64 1.9k
Jerzy A. Żołądź Poland 29 1.3k 1.3× 681 0.8× 904 1.4× 885 1.6× 300 1.0× 108 3.1k
Katrien Koppo Belgium 25 1.1k 1.1× 619 0.7× 861 1.3× 1.2k 2.1× 244 0.8× 66 2.6k
Ilkka Heinonen Finland 24 590 0.6× 694 0.8× 218 0.3× 834 1.5× 145 0.5× 82 1.9k
Riki Ogasawara Japan 27 946 0.9× 641 0.8× 766 1.2× 640 1.2× 290 0.9× 64 2.4k
M. Lehmann Germany 34 1.3k 1.3× 1.4k 1.7× 882 1.3× 732 1.3× 212 0.7× 111 3.5k
Niki M. Dietz United States 35 1.3k 1.3× 2.4k 2.8× 181 0.3× 1.3k 2.4× 213 0.7× 59 3.6k

Countries citing papers authored by Tadashi Suga

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Suga

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Suga. A scholar is included among the top collaborators of Tadashi Suga 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 Tadashi Suga. Tadashi Suga 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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2.
Tsukamoto, Hayato, Niels D. Olesen, Lonnie G. Petersen, et al.. (2023). Circulating Plasma Oxytocin Level Is Elevated by High-Intensity Interval Exercise in Men. Medicine & Science in Sports & Exercise. 56(5). 927–932. 6 indexed citations
3.
Tsukamoto, Hayato, Tadashi Suga, Asuka Suzuki, et al.. (2023). Essential amino acid supplements ingestion has a positive effect on executive function after moderate-intensity aerobic exercise. Scientific Reports. 13(1). 22644–22644. 5 indexed citations
4.
Uchida, Masataka, Tadashi Suga, Masafumi Terada, & Tadao Isaka. (2022). A pilot study: the relationship between salivary MCP-1 and IgA, and exercise performance in long-distance runners and sprinters. BMC Research Notes. 15(1). 118–118. 1 indexed citations
5.
Suga, Tadashi, Takeshi Sugimoto, Hayato Tsukamoto, et al.. (2021). Effect of very low-intensity resistance exercise with slow movement and tonic force generation on post-exercise inhibitory control. Heliyon. 7(2). e06261–e06261. 8 indexed citations
6.
Suga, Tadashi, et al.. (2021). Association between plantar flexor muscle volume and dorsiflexion flexibility in healthy young males: ultrasonography and magnetic resonance imaging studies. BMC Sports Science Medicine and Rehabilitation. 13(1). 8–8. 10 indexed citations
7.
8.
Yokota, Takashi, Shintaro Kinugawa, Kagami Hirabayashi, et al.. (2021). Systemic oxidative stress is associated with lower aerobic capacity and impaired skeletal muscle energy metabolism in heart failure patients. Scientific Reports. 11(1). 2272–2272. 20 indexed citations
9.
Tanaka, Daichi, et al.. (2020). Acute remote ischemic preconditioning has no effect on quadriceps muscle endurance. Translational Sports Medicine. 3(4). 314–320. 6 indexed citations
10.
Suga, Tadashi, et al.. (2020). Torque-producing capacity is affected by moment arm in the human knee extensors. BMC Research Notes. 13(1). 343–343. 12 indexed citations
11.
Suga, Tadashi, et al.. (2020). Calcaneus height is a key morphological factor of sprint performance in sprinters. Scientific Reports. 10(1). 15425–15425. 10 indexed citations
12.
Yokokawa, Takumi, Kohei Kido, Tadashi Suga, et al.. (2018). Exercise training increases CISD family protein expression in murine skeletal muscle and white adipose tissue. Biochemical and Biophysical Research Communications. 506(3). 571–577. 18 indexed citations
13.
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Tsukamoto, Hayato, Tadashi Suga, Saki Takenaka, et al.. (2017). An acute bout of localized resistance exercise can rapidly improve inhibitory control. PLoS ONE. 12(9). e0184075–e0184075. 40 indexed citations
15.
Tsukamoto, Hayato, Tadashi Suga, Aya Ishibashi, et al.. (2017). Flavanol-rich cocoa consumption enhances exercise-induced executive function improvements in humans. Nutrition. 46. 90–96. 23 indexed citations
16.
Tsukamoto, Hayato, Saki Takenaka, Tadashi Suga, et al.. (2016). Effect of Exercise Intensity and Duration on Postexercise Executive Function. Medicine & Science in Sports & Exercise. 49(4). 774–784. 54 indexed citations
17.
Suga, Tadashi, Koichi Okita, Shingo Takada, et al.. (2012). Effect of multiple set on intramuscular metabolic stress during low-intensity resistance exercise with blood flow restriction. European Journal of Applied Physiology. 112(11). 3915–3920. 144 indexed citations
18.
Suga, Tadashi, Koichi Okita, Noriteru Morita, et al.. (2010). Dose effect on intramuscular metabolic stress during low-intensity resistance exercise with blood flow restriction. Journal of Applied Physiology. 108(6). 1563–1567. 114 indexed citations
19.
Yokota, Takashi, Shintaro Kinugawa, Kagami Hirabayashi, et al.. (2009). Oxidative stress in skeletal muscle impairs mitochondrial respiration and limits exercise capacity in type 2 diabetic mice. American Journal of Physiology-Heart and Circulatory Physiology. 297(3). H1069–H1077. 108 indexed citations
20.
Horiuchi, Masahiro, Koichi Okita, Shingo Takada, et al.. (2009). Effects of Oral Single-Dose Administration of Sarpogrelate Hydrochloride on Saturation O2 of Calf Muscle During Plantar Flexion Exercise. Advances in experimental medicine and biology. 662. 531–536. 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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