Keisuke Shiose

431 total citations
26 papers, 262 citations indexed

About

Keisuke Shiose is a scholar working on Physiology, Cell Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, Keisuke Shiose has authored 26 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 10 papers in Cell Biology and 10 papers in Orthopedics and Sports Medicine. Recurrent topics in Keisuke Shiose's work include Body Composition Measurement Techniques (11 papers), Sports Performance and Training (10 papers) and Muscle metabolism and nutrition (10 papers). Keisuke Shiose is often cited by papers focused on Body Composition Measurement Techniques (11 papers), Sports Performance and Training (10 papers) and Muscle metabolism and nutrition (10 papers). Keisuke Shiose collaborates with scholars based in Japan, United States and Russia. Keisuke Shiose's co-authors include Hideyuki Takahashi, Yosuke Yamada, Yasuki Higaki, Hiroyuki Sagayama, Hiroaki Tanaka, Takuya Osawa, Emi Kondo, Takuro Tobina, Akiko Kamei and Hiroaki Tanaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and Journal of Nutrition.

In The Last Decade

Keisuke Shiose

26 papers receiving 260 citations

Peers

Keisuke Shiose
Keisuke Shiose
Citations per year, relative to Keisuke Shiose Keisuke Shiose (= 1×) peers Marie‐Louise Healy

Countries citing papers authored by Keisuke Shiose

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Shiose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Shiose

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Shiose. A scholar is included among the top collaborators of Keisuke Shiose 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 Keisuke Shiose. Keisuke Shiose 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
3.
Sagayama, Hiroyuki, Emi Kondo, Yoko Tanabe, et al.. (2023). Comparison of Bioelectrical Impedance Indices for Skeletal Muscle Mass and Intracellular Water Measurements of Physically Active Young Men and Athletes. Journal of Nutrition. 153(9). 2543–2551. 9 indexed citations
4.
Kondo, Emi, Takuya Osawa, Keisuke Shiose, et al.. (2022). Effect of Different Carbohydrate Intakes within 24 Hours after Glycogen Depletion on Muscle Glycogen Recovery in Japanese Endurance Athletes. Nutrients. 14(7). 1320–1320. 10 indexed citations
5.
Shiose, Keisuke, Hideyuki Takahashi, & Yosuke Yamada. (2022). Muscle Glycogen Assessment and Relationship with Body Hydration Status: A Narrative Review. Nutrients. 15(1). 155–155. 16 indexed citations
6.
Semenova, Ekaterina A., Hirofumi Zempo, Eri Miyamoto‐Mikami, et al.. (2022). Genome-Wide Association Study Identifies CDKN1A as a Novel Locus Associated with Muscle Fiber Composition. Cells. 11(23). 3910–3910. 19 indexed citations
7.
Kondo, Emi, Keisuke Shiose, Takuya Osawa, et al.. (2021). Effects of an overnight high-carbohydrate meal on muscle glycogen after rapid weight loss in male collegiate wrestlers. BMC Sports Science Medicine and Rehabilitation. 13(1). 96–96. 7 indexed citations
8.
Kumagai, Hiroshi, Toshiharu Natsume, Su‐Jeong Kim, et al.. (2021). The MOTS-c K14Q polymorphism in the mtDNA is associated with muscle fiber composition and muscular performance. Biochimica et Biophysica Acta (BBA) - General Subjects. 1866(2). 130048–130048. 12 indexed citations
9.
Yvert, Thomas, Eri Miyamoto‐Mikami, Takuro Tobina, et al.. (2020). PPARGC1A rs8192678 and NRF1 rs6949152 Polymorphisms Are Associated with Muscle Fiber Composition in Women. Genes. 11(9). 1012–1012. 13 indexed citations
10.
Shiose, Keisuke, Emi Kondo, Hiroyuki Sagayama, et al.. (2020). Validity of Bioimpedance Spectroscopy in the Assessment of Total Body Water and Body Composition in Wrestlers and Untrained Subjects. International Journal of Environmental Research and Public Health. 17(24). 9433–9433. 9 indexed citations
11.
Shiose, Keisuke, Yoko Tanabe, Takahiro Ohnishi, & Hideyuki Takahashi. (2019). Effect of regional muscle damage and inflammation following eccentric exercise on electrical resistance and the body composition assessment using bioimpedance spectroscopy. The Journal of Physiological Sciences. 69(6). 895–901. 6 indexed citations
12.
Kondo, Emi, Hiroyuki Sagayama, Yosuke Yamada, et al.. (2018). Energy Deficit Required for Rapid Weight Loss in Elite Collegiate Wrestlers. Nutrients. 10(5). 536–536. 22 indexed citations
13.
Shiose, Keisuke, et al.. (2018). Muscle glycogen depletion does not alter segmental extracellular and intracellular water distribution measured using bioimpedance spectroscopy. Journal of Applied Physiology. 124(6). 1420–1425. 10 indexed citations
14.
Kumagai, Hiroshi, Takuro Tobina, Noriko Ichinoseki‐Sekine, et al.. (2018). Role of selected polymorphisms in determining muscle fiber composition in Japanese men and women. Journal of Applied Physiology. 124(5). 1377–1384. 23 indexed citations
15.
Osawa, Takuya, Keisuke Shiose, & Hideyuki Takahashi. (2017). Tissue Blood Volume Parameters Measured by Continuous-Wave and Spatially Resolved NIRS Show Different Changes During Prolonged Cycling Exercise. Advances in experimental medicine and biology. 977. 249–254. 3 indexed citations
16.
Osawa, Takuya, Keisuke Shiose, & Hideyuki Takahashi. (2017). Delayed Onset of Reoxygenation in Inactive Muscles After High-Intensity Exercise. Advances in experimental medicine and biology. 977. 255–260. 4 indexed citations
17.
Shiose, Keisuke, et al.. (2017). Circadian variation of extracellular and intracellular resistance of the leg, arm, and trunk in healthy humans: a segmental bioimpedance spectroscopy study. Biomedical Physics & Engineering Express. 3(6). 65007–65007. 6 indexed citations
18.
Shiose, Keisuke, Yosuke Yamada, Hiroyuki Sagayama, et al.. (2016). Segmental extracellular and intracellular water distribution and muscle glycogen after 72-h carbohydrate loading using spectroscopic techniques. Journal of Applied Physiology. 121(1). 205–211. 52 indexed citations
19.
Shiose, Keisuke, Takuro Tobina, Yasuki Higaki, Akira Kiyonaga, & Hiroaki Tanaka. (2014). Effects of prior muscle glycogen depletion level on metabolic response during endurance exercise. Japanese Journal of Physical Fitness and Sports Medicine. 63(4). 401–408. 1 indexed citations
20.
Shiose, Keisuke, Takuro Tobina, Yasuki Higaki, Akira Kiyonaga, & Hiroaki Tanaka. (2011). AN EFFECTIVE HIGH-INTENSITY INTERMITTENT EXERCISE PROTOCOL FOR DECREASING SKELETAL MUSCLE GLYCOGEN. Japanese Journal of Physical Fitness and Sports Medicine. 60(5). 493–502. 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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