Ayako Shiraishi

1.2k total citations
30 papers, 994 citations indexed

About

Ayako Shiraishi is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Ayako Shiraishi has authored 30 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Orthopedics and Sports Medicine, 15 papers in Molecular Biology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Ayako Shiraishi's work include Bone health and osteoporosis research (17 papers), Bone Metabolism and Diseases (14 papers) and Bone health and treatments (9 papers). Ayako Shiraishi is often cited by papers focused on Bone health and osteoporosis research (17 papers), Bone Metabolism and Diseases (14 papers) and Bone health and treatments (9 papers). Ayako Shiraishi collaborates with scholars based in Japan, United States and United Kingdom. Ayako Shiraishi's co-authors include Etsuro Ogata, Noboru Kubodera, Kyoji Ikeda, Toshitaka Nakamura, Satoshi Takeda, M. Ito, Katsuhiko Sato, Masako Ito, Yasushi Uchiyama and Sayumi Higashi and has published in prestigious journals such as Journal of Bone and Mineral Research, Bone and Bioorganic & Medicinal Chemistry.

In The Last Decade

Ayako Shiraishi

30 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayako Shiraishi Japan 17 530 412 320 307 113 30 994
Dennis B. Henriksen Denmark 16 522 1.0× 621 1.5× 130 0.4× 470 1.5× 267 2.4× 25 1.6k
Katharine E. Armour United Kingdom 8 223 0.4× 390 0.9× 59 0.2× 137 0.4× 73 0.6× 8 791
Yingben Xue Canada 12 165 0.3× 242 0.6× 298 0.9× 173 0.6× 43 0.4× 18 672
B.J. Pedersen Denmark 9 375 0.7× 204 0.5× 107 0.3× 226 0.7× 61 0.5× 9 729
Y.F. Ma United States 15 324 0.6× 336 0.8× 45 0.1× 317 1.0× 83 0.7× 30 756
Liu Zhang China 19 219 0.4× 188 0.5× 213 0.7× 147 0.5× 237 2.1× 70 771
M. Uchida Japan 12 85 0.2× 302 0.7× 193 0.6× 113 0.4× 272 2.4× 23 1.1k
Michael Macoritto Canada 13 120 0.2× 317 0.8× 101 0.3× 125 0.4× 63 0.6× 18 607
Yuko Yoshihara Japan 3 102 0.2× 283 0.7× 559 1.7× 83 0.3× 33 0.3× 4 942
K. E. Callon New Zealand 6 179 0.3× 263 0.6× 43 0.1× 107 0.3× 79 0.7× 6 663

Countries citing papers authored by Ayako Shiraishi

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Shiraishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayako Shiraishi

This figure shows the co-authorship network connecting the top 25 collaborators of Ayako Shiraishi. A scholar is included among the top collaborators of Ayako Shiraishi 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 Ayako Shiraishi. Ayako Shiraishi 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.
Yamazaki, Soh, Yuto Fukui, Kotaro Aoki, et al.. (2019). JunB plays a crucial role in development of regulatory T cells by promoting IL-2 signaling. Mucosal Immunology. 12(5). 1104–1117. 30 indexed citations
2.
Miyakoshi, Naohisa, Yuji Kasukawa, Sadaoki Sakai, et al.. (2015). Effects of eldecalcitol on bone and skeletal muscles in glucocorticoid-treated rats. Journal of Bone and Mineral Metabolism. 34(2). 171–178. 16 indexed citations
3.
Shiraishi, Ayako. (2014). Pharmacological profile and clinical evidence in patients with primary osteoporosis treated with intravenous ibandronate. Folia Pharmacologica Japonica. 143(6). 302–309. 1 indexed citations
4.
Shiraishi, Ayako, Sadaoki Sakai, Hitoshi Saitô, & Fumiaki Takahashi. (2013). Eldecalcitol improves mechanical strength of cortical bones by stimulating the periosteal bone formation in the senescence-accelerated SAM/P6 mice – A comparison with alfacalcidol. The Journal of Steroid Biochemistry and Molecular Biology. 144. 119–123. 3 indexed citations
5.
Sakai, Sadaoki, Koichi Endo, Satoshi Takeda, Masahiko Mihara, & Ayako Shiraishi. (2012). Combination therapy with eldecalcitol and alendronate has therapeutic advantages over monotherapy by improving bone strength. Bone. 50(5). 1054–1063. 20 indexed citations
6.
7.
Shiraishi, Ayako, et al.. (2011). [Diagnostic imaging of treatment in osteoporosis; new active vitamin D].. PubMed. 21(7). 1057–66. 1 indexed citations
8.
Sakai, Sadaoki, Hironari Takaishi, Kenichiro MATSUZAKI, et al.. (2009). 1-Alpha, 25-dihydroxy vitamin D3 inhibits osteoclastogenesis through IFN-beta-dependent NFATc1 suppression. Journal of Bone and Mineral Metabolism. 27(6). 643–652. 51 indexed citations
9.
Saito, Mitsuru, Ayako Shiraishi, Masako Ito, et al.. (2009). Comparison of effects of alfacalcidol and alendronate on mechanical properties and bone collagen cross-links of callus in the fracture repair rat model. Bone. 46(4). 1170–1179. 39 indexed citations
10.
11.
Onodera, Shin, Satoshi Sasaki, Shigeki Ohshima, et al.. (2006). Transgenic Mice Overexpressing Macrophage Migration Inhibitory Factor (MIF) Exhibit High-Turnover Osteoporosis. Journal of Bone and Mineral Research. 21(6). 876–885. 48 indexed citations
12.
Shiraishi, Ayako, M. Ito, Naohiko Hayakawa, et al.. (2006). Calcium Supplementation Does Not Reproduce the Pharmacological Efficacy of Alfacalcidol for the Treatment of Osteoporosis in Rats. Calcified Tissue International. 78(3). 152–161. 15 indexed citations
13.
Sakai, Akinori, et al.. (2005). Modulation of bone turnover by alfacalcidol and/or alendronate does not prevent glucocorticoid-induced osteoporosis in growing minipigs. Journal of Bone and Mineral Metabolism. 23(5). 341–350. 8 indexed citations
14.
15.
Ito, M., Akifumi Nishida, Ayako Shiraishi, et al.. (2002). Contribution of trabecular and cortical components to the mechanical properties of bone and their regulating parameters. Bone. 31(3). 351–358. 109 indexed citations
16.
Ito, Masako, et al.. (2001). Evaluation of Mechanical Properties of Trabecular and Cortical Bone. Advances in experimental medicine and biology. 496. 47–56. 3 indexed citations
17.
Tsurukami, Hiroshi, M. Ito, Akinori Sakai, et al.. (2001). Effect of trabecular bone contour on ultimate strength of lumbar vertebra after bilateral ovariectomy in rats. Bone. 28(6). 625–633. 35 indexed citations
18.
Shiraishi, Ayako, Sayumi Higashi, Hiroyuki Ohkawa, et al.. (1999). The Advantage of Alfacalcidol Over Vitamin D in the Treatment of Osteoporosis. Calcified Tissue International. 65(4). 311–316. 64 indexed citations
19.
Watanabe, Hiroyoshi, Ayako Shiraishi, Satoshi Takeda, et al.. (1997). Synthetic Studies of Vitamin D Analogs. XXIV. Synthesis of Active Vitamin D3 Analogs Substituted at the 2.BETA.-Position and Their Preventive Effects on Bone Mineral Loss in Ovariectomized Rats.. Chemical and Pharmaceutical Bulletin. 45(10). 1626–1630. 30 indexed citations
20.

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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