Masako Ito

8.3k total citations · 1 hit paper
140 papers, 6.5k citations indexed

About

Masako Ito is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Masako Ito has authored 140 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Orthopedics and Sports Medicine, 57 papers in Molecular Biology and 53 papers in Oncology. Recurrent topics in Masako Ito's work include Bone health and osteoporosis research (64 papers), Bone Metabolism and Diseases (46 papers) and Bone health and treatments (45 papers). Masako Ito is often cited by papers focused on Bone health and osteoporosis research (64 papers), Bone Metabolism and Diseases (46 papers) and Bone health and treatments (45 papers). Masako Ito collaborates with scholars based in Japan, United States and Germany. Masako Ito's co-authors include Kyoji Ikeda, Sunao Takeshita, Toshitaka Nakamura, Kiyo‐aki Ishii, Toshio Fumoto, Sawako Tatsumi, Norio Amizuka, Toshihiro Kobayashi, Chisato Miyaura and Kenji Kohno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Masako Ito

134 papers receiving 6.4k citations

Hit Papers

Targeted Ablation of Osteocytes Induces Osteoporosis with... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masako Ito Japan 40 3.0k 2.4k 2.0k 922 678 140 6.5k
Hiroshi Kaji Japan 48 3.0k 1.0× 1.6k 0.7× 1.7k 0.9× 732 0.8× 529 0.8× 228 6.8k
Martina Rauner Germany 48 3.5k 1.2× 1.5k 0.6× 1.9k 0.9× 646 0.7× 339 0.5× 240 7.3k
Donald B. Kimmel United States 51 2.9k 1.0× 3.9k 1.6× 2.6k 1.3× 676 0.7× 545 0.8× 122 6.6k
Hua Zhu Ke United States 51 4.5k 1.5× 2.8k 1.2× 2.8k 1.4× 719 0.8× 478 0.7× 126 7.9k
Ling‐Qing Yuan China 46 3.8k 1.3× 1.7k 0.7× 985 0.5× 944 1.0× 481 0.7× 236 7.3k
Martine Cohen‐Solal France 40 2.4k 0.8× 1.7k 0.7× 1.5k 0.8× 862 0.9× 403 0.6× 242 6.1k
Jiliang Li United States 47 5.4k 1.8× 1.2k 0.5× 1.9k 1.0× 590 0.6× 333 0.5× 120 8.2k
Merry Jo Oursler United States 45 5.1k 1.7× 1.9k 0.8× 2.5k 1.3× 494 0.5× 378 0.6× 99 7.9k
Yin Tintut United States 43 3.0k 1.0× 1.4k 0.6× 1.2k 0.6× 1.7k 1.8× 635 0.9× 110 8.9k
Paul J. Kostenuik United States 55 5.7k 1.9× 3.4k 1.4× 4.7k 2.4× 1.0k 1.1× 384 0.6× 123 9.4k

Countries citing papers authored by Masako Ito

Since Specialization
Citations

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

Fields of papers citing papers by Masako Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Ito. A scholar is included among the top collaborators of Masako Ito 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 Masako Ito. Masako Ito 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
2.
Soen, Satoshi, Kazuhiko Yamamoto, Tsutomu Takeuchi, et al.. (2020). Minodronate combined with alfacalcidol versus alfacalcidol alone for glucocorticoid-induced osteoporosis: a multicenter, randomized, comparative study. Journal of Bone and Mineral Metabolism. 38(4). 511–521. 4 indexed citations
3.
Ito, Masako. (2014). [Glucocorticoid and Bone. Structural variations in steroid-induced osteoporosis].. PubMed. 24(9). 1343–50. 2 indexed citations
4.
Mizuhashi, Koji, Takashi Kanamoto, Takeshi Moriishi, et al.. (2014). Filamin-interacting proteins, Cfm1 and Cfm2, are essential for the formation of cartilaginous skeletal elements. Human Molecular Genetics. 23(11). 2953–2967. 19 indexed citations
5.
Ito, Masako & Ko Chiba. (2014). [Updates on Lifestyle-Related Diseases and Bone Metabolism. Increase in bone fragility from the viewpoint of bone structural properties].. PubMed. 24(11). 1615–20. 2 indexed citations
6.
Ito, Masako. (2013). [Effect of anti-osteoporotic agents on cortical microstructure].. PubMed. 23(7). 1035–9. 1 indexed citations
7.
Ito, Masako. (2011). [Diagnostic imaging of treatment in osteoporosis: PTH].. PubMed. 21(7). 1067–73. 2 indexed citations
8.
Abe, Kohtaro, Michie Toba, Abdallah Alzoubi, et al.. (2011). Tyrosine Kinase Inhibitors Are Potent Acute Pulmonary Vasodilators in Rats. American Journal of Respiratory Cell and Molecular Biology. 45(4). 804–808. 57 indexed citations
9.
Abe, Kohtaro, Michie Toba, Abdallah Alzoubi, et al.. (2010). Formation of Plexiform Lesions in Experimental Severe Pulmonary Arterial Hypertension. Circulation. 121(25). 2747–2754. 399 indexed citations
10.
Hoshino, Akiyoshi, Tadahiro Iimura, Satoshi Ueha, et al.. (2010). Deficiency of Chemokine Receptor CCR1 Causes Osteopenia Due to Impaired Functions of Osteoclasts and Osteoblasts. Journal of Biological Chemistry. 285(37). 28826–28837. 46 indexed citations
11.
Ishii, Kiyo‐aki, Toshio Fumoto, Kazuhiro Iwaï, et al.. (2009). Coordination of PGC-1β and iron uptake in mitochondrial biogenesis and osteoclast activation. Nature Medicine. 15(3). 259–266. 328 indexed citations
12.
Ito, Masako. (2007). [Absolute risk for fracture and WHO guideline. Recent interest in bone quality].. PubMed. 17(7). 1066–70. 3 indexed citations
13.
Ito, Masako, Keiji Nakayama, Akira Konaka, et al.. (2006). Effects of a prostaglandin EP4 agonist, ONO-4819, and risedronate on trabecular microstructure and bone strength in mature ovariectomized rats. Bone. 39(3). 453–459. 33 indexed citations
14.
Ito, Masako. (2004). [Assessment of bone quality--present and future].. PubMed. 14(12). 27–32. 2 indexed citations
15.
Ikeda, Satoshi, Akinori Sakai, Nobukazu Okimoto, et al.. (2004). Human parathyroid hormone (1-34) increases mass and structure of the cortical shell, with resultant increase in lumbar bone strength, in ovariectomized rats. Journal of Bone and Mineral Metabolism. 22(6). 530–540. 20 indexed citations
16.
Montero, Aldemar, Yosuke Okada, Masato Tomita, et al.. (2000). Disruption of the fibroblast growth factor-2 gene results in decreased bone mass and bone formation. Journal of Clinical Investigation. 105(8). 1085–1093. 373 indexed citations
17.
TAKANO, Ichiro, et al.. (2000). A Simplified HPLC Procedure for the Determination of Glyphosate in Soybeans Employing Postcolumn Fluorescence Labeling.. Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi). 41(4). 242–245. 1 indexed citations
18.
Ito, Masako, et al.. (1997). A case of angiosarcoma of the neck.. The Journal of the Japanese Society of Clinical Cytology. 36(5). 545–549.
19.
Ito, Masako. (1991). 4864594 Bone mineral density measurement. Computerized Medical Imaging and Graphics. 15(5). III–IV. 1 indexed citations
20.
Sakai, Masao, Masami Yoshida, Masako Ito, et al.. (1985). Possible Coexistence of Taurine and Tyrosine Hydroxylase in the Periglomerular Cells of the Rat Olfactory Bulb. ACTA HISTOCHEMICA ET CYTOCHEMICA. 18(6). 664. 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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