Aya Tomita

519 total citations
19 papers, 404 citations indexed

About

Aya Tomita is a scholar working on Biomedical Engineering, Physiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Aya Tomita has authored 19 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 7 papers in Physiology and 5 papers in Orthopedics and Sports Medicine. Recurrent topics in Aya Tomita's work include Muscle activation and electromyography studies (9 papers), Sports injuries and prevention (5 papers) and Nutrition and Health in Aging (5 papers). Aya Tomita is often cited by papers focused on Muscle activation and electromyography studies (9 papers), Sports injuries and prevention (5 papers) and Nutrition and Health in Aging (5 papers). Aya Tomita collaborates with scholars based in Japan, Australia and Slovenia. Aya Tomita's co-authors include Hiroshi Akima, Akira Saito, Kohei Watanabe, Ryosuke Ando, Akito Yoshiko, Madoka Ogawa, R. Ando, Shohei Kondo, Aleš Holobar and Keiichi Osaka and has published in prestigious journals such as PLoS ONE, Scientific Reports and Medicine & Science in Sports & Exercise.

In The Last Decade

Aya Tomita

19 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aya Tomita Japan 11 163 140 102 61 42 19 404
Ulysses Fernandes Ervilha Brazil 10 197 1.2× 53 0.4× 155 1.5× 81 1.3× 48 1.1× 39 421
Erich Hohenauer Switzerland 12 68 0.4× 196 1.4× 204 2.0× 20 0.3× 14 0.3× 38 549
Gi-Wook Kim South Korea 12 77 0.5× 19 0.1× 43 0.4× 43 0.7× 17 0.4× 56 376
Florian Husmann Germany 8 87 0.5× 37 0.3× 125 1.2× 30 0.5× 11 0.3× 11 337
Shin-ya Kuno Japan 5 151 0.9× 91 0.7× 131 1.3× 29 0.5× 34 0.8× 6 342
Karin Lienhard France 14 90 0.6× 15 0.1× 207 2.0× 17 0.3× 75 1.8× 20 442
Tetsuya Hirono Japan 11 151 0.9× 67 0.5× 146 1.4× 20 0.3× 35 0.8× 61 328
Andrew Barnes United Kingdom 13 271 1.7× 12 0.1× 386 3.8× 20 0.3× 35 0.8× 40 512
Junggi Hong United States 10 103 0.6× 33 0.2× 261 2.6× 21 0.3× 49 1.2× 30 537
Rahel Stoop Switzerland 10 55 0.3× 78 0.6× 77 0.8× 10 0.2× 9 0.2× 14 342

Countries citing papers authored by Aya Tomita

Since Specialization
Citations

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

Fields of papers citing papers by Aya Tomita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Tomita

This figure shows the co-authorship network connecting the top 25 collaborators of Aya Tomita. A scholar is included among the top collaborators of Aya Tomita 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 Aya Tomita. Aya Tomita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Suwa, Masataka, et al.. (2023). Relationship between trunk intramuscular adipose tissue content and prevalence of metabolic syndrome in middle-aged Japanese men. Nutrition. 113. 112083–112083. 1 indexed citations
2.
3.
Watanabe, Kohei, et al.. (2020). Effect of milk fat globule membrane supplementation on motor unit adaptation following resistance training in older adults. Physiological Reports. 8(12). e14491–e14491. 15 indexed citations
4.
Akima, Hiroshi, et al.. (2020). Quadriceps echo intensity can be an index of muscle size regardless of age in 65 or more years old. Experimental Gerontology. 138. 111015–111015. 16 indexed citations
5.
Akima, Hiroshi, Akito Yoshiko, Régis Radaelli, et al.. (2020). Comparison of muscle quality and functional capacity between Japanese and Brazilian older individuals. PLoS ONE. 15(12). e0243589–e0243589. 6 indexed citations
6.
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Akima, Hiroshi, Aya Tomita, & Ryosuke Ando. (2019). Effect of knee joint angle on the neuromuscular activation of the quadriceps femoris during repetitive fatiguing contractions. Journal of Electromyography and Kinesiology. 49. 102356–102356. 6 indexed citations
8.
Watanabe, Kohei, Aleš Holobar, Aya Tomita, et al.. (2019). Modulation of Neural and Muscular Adaptation Processes During Resistance Training by Fish Protein Ingestions in Older Adults. The Journals of Gerontology Series A. 75(5). 867–874. 17 indexed citations
9.
Saito, Akira, Aya Tomita, Ryosuke Ando, Kohei Watanabe, & Hiroshi Akima. (2018). Muscle synergies are consistent across level and uphill treadmill running. Scientific Reports. 8(1). 5979–5979. 59 indexed citations
10.
Yoshiko, Akito, Aya Tomita, R. Ando, et al.. (2018). Effects of 10-week walking and walking with home-based resistance training on muscle quality, muscle size, and physical functional tests in healthy older individuals. European Review of Aging and Physical Activity. 15(1). 13–13. 44 indexed citations
11.
Saito, Akira, Aya Tomita, Ryosuke Ando, Kohei Watanabe, & Hiroshi Akima. (2017). Similarity of muscle synergies extracted from the lower limb including the deep muscles between level and uphill treadmill walking. Gait & Posture. 59. 134–139. 40 indexed citations
12.
Akima, Hiroshi, Akito Yoshiko, Aya Tomita, et al.. (2017). Relationship between quadriceps echo intensity and functional and morphological characteristics in older men and women. Archives of Gerontology and Geriatrics. 70. 105–111. 86 indexed citations
13.
Ando, Ryosuke, Aya Tomita, Kohei Watanabe, & Hiroshi Akima. (2016). Knee joint angle and vasti muscle electromyograms during fatiguing contractions. Clinical Physiology and Functional Imaging. 38(4). 566–572. 6 indexed citations
14.
Ando, Ryosuke, Kazunori Nosaka, Aya Tomita, et al.. (2016). Vastus Intermedius And Vastus Lateralis Fascicle Length Changes During Maximal Eccentric Knee Extensor Contractions. Medicine & Science in Sports & Exercise. 48. 184–184. 1 indexed citations
15.
Ando, Ryosuke, Kazunori Nosaka, Takayuki Inami, et al.. (2015). Difference in fascicle behaviors between superficial and deep quadriceps muscles during isometric contractions. Muscle & Nerve. 53(5). 797–802. 28 indexed citations
16.
Tomita, Aya, Ryosuke Ando, Akira Saito, Kohei Watanabe, & Hiroshi Akima. (2015). Effect of interelectrode distance on surface electromyographic signals of vastus intermedius muscle in women and men. Journal of Electromyography and Kinesiology. 25(6). 841–846. 5 indexed citations
17.
Kato, Kumiko, et al.. (2013). [Ocular findings in 304 children with Down syndrome].. PubMed. 117(9). 749–60. 13 indexed citations
18.
Itoh, Takanori, Aya Tomita, Naoto Kitamura, et al.. (2008). Determination of the crystal structure and charge density of (Ba0.5Sr0.5)(Co0.8Fe0.2)O2.33 by Rietveld refinement and maximum entropy method analysis. Solid State Communications. 149(1-2). 41–44. 36 indexed citations
19.
Kakinuma, Katsuyoshi, Aya Tomita, Hiroshi Yamamura, & Tooru Ataké. (2006). Water vapor absorption and proton conductivity of (Ba1−xLax)2In2O5+x. Journal of Materials Science. 41(19). 6435–6440. 8 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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