Masako Tomoyasu

708 total citations
10 papers, 574 citations indexed

About

Masako Tomoyasu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Masako Tomoyasu has authored 10 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Masako Tomoyasu's work include Diabetes Treatment and Management (6 papers), Peptidase Inhibition and Analysis (2 papers) and Pancreatic function and diabetes (2 papers). Masako Tomoyasu is often cited by papers focused on Diabetes Treatment and Management (6 papers), Peptidase Inhibition and Analysis (2 papers) and Pancreatic function and diabetes (2 papers). Masako Tomoyasu collaborates with scholars based in Japan and United States. Masako Tomoyasu's co-authors include Tsutomu Hirano, Michishige Terasaki, Takuya Watanabe, Masaharu Nagashima, Kyoko Nohtomi, Joo‐ri Kim‐Kaneyama, Ayumi Miyazaki, Makoto Ohara, Takeshi Yamamoto and Tomoyasu Fukui and has published in prestigious journals such as PLoS ONE, Diabetologia and Diabetes Research and Clinical Practice.

In The Last Decade

Masako Tomoyasu

10 papers receiving 567 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Masako Tomoyasu 462 219 187 87 80 10 574
Daisho Hirota 327 0.7× 162 0.7× 130 0.7× 44 0.5× 53 0.7× 6 519
Günaj Rakipovski 363 0.8× 137 0.6× 211 1.1× 61 0.7× 78 1.0× 15 547
Yang Wei 285 0.6× 173 0.8× 142 0.8× 56 0.6× 36 0.5× 10 447
Hideki Kushima 251 0.5× 170 0.8× 142 0.8× 78 0.9× 26 0.3× 25 408
Shinji Odori 225 0.5× 144 0.7× 215 1.1× 65 0.7× 28 0.3× 11 566
Yunshan Hu 301 0.7× 116 0.5× 160 0.9× 95 1.1× 70 0.9× 7 396
Yuichi Terawaki 299 0.6× 130 0.6× 235 1.3× 32 0.4× 36 0.5× 13 422
Iresha Welungoda 339 0.7× 99 0.5× 206 1.1× 215 2.5× 89 1.1× 7 475
M. Elizabeth Moss 300 0.6× 242 1.1× 121 0.6× 115 1.3× 63 0.8× 15 611
Bjoern A. Menge 507 1.1× 492 2.2× 229 1.2× 37 0.4× 61 0.8× 15 820

Countries citing papers authored by Masako Tomoyasu

Since Specialization
Citations

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

Fields of papers citing papers by Masako Tomoyasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Tomoyasu

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

All Works

10 of 10 papers shown
2.
Tomoyasu, Masako, et al.. (2019). Pheochromocytoma presenting with severe hyperglycemia and metabolic acidosis following intra-articular glucocorticoid administration: a case report. Journal of Medical Case Reports. 13(1). 3–3. 5 indexed citations
3.
Ohara, Makoto, Munenori Hiromura, Masako Tomoyasu, et al.. (2019). Effect of Dulaglutide Versus Liraglutide on Glucose Variability, Oxidative Stress, and Endothelial Function in Type 2 Diabetes: A Prospective Study. Diabetes Therapy. 10(1). 215–228. 22 indexed citations
5.
Ohara, Makoto, Satoshi Goto, Masako Tomoyasu, et al.. (2018). Improvements of ambient hyperglycemia and glycemic variability are associated with reduction in oxidative stress for patients with type 2 diabetes. Diabetes Research and Clinical Practice. 139. 253–261. 45 indexed citations
6.
Hayashi, Toshiyuki, Tomoyasu Fukui, Noriko Nakanishi, et al.. (2017). Dapagliflozin decreases small dense low-density lipoprotein-cholesterol and increases high-density lipoprotein 2-cholesterol in patients with type 2 diabetes: comparison with sitagliptin. Cardiovascular Diabetology. 16(1). 149–149. 151 indexed citations
7.
Hiromura, Munenori, Yusaku Mori, Michishige Terasaki, et al.. (2016). Suppressive Effects of Glucose-Dependent Insulinotropic Polypeptide on Cardiac Hypertrophy and Fibrosis in Angiotensin II-Infused Mouse Models. Circulation Journal. 80(9). 1988–1997. 38 indexed citations
8.
Hiromura, Munenori, Yusaku Mori, Michishige Terasaki, et al.. (2015). A Dipeptidyl Peptidase-4 Inhibitor but not Incretins Suppresses Abdominal Aortic Aneurysms in Angiotensin II-Infused Apolipoprotein E-Null Mice. Journal of Atherosclerosis and Thrombosis. 23(4). 441–454. 26 indexed citations
9.
Terasaki, Michishige, Masaharu Nagashima, Kyoko Nohtomi, et al.. (2013). Preventive Effect of Dipeptidyl Peptidase-4 Inhibitor on Atherosclerosis Is Mainly Attributable to Incretin's Actions in Nondiabetic and Diabetic Apolipoprotein E-Null Mice. PLoS ONE. 8(8). e70933–e70933. 64 indexed citations
10.
Nagashima, Masaharu, Takuya Watanabe, Michishige Terasaki, et al.. (2011). Native incretins prevent the development of atherosclerotic lesions in apolipoprotein E knockout mice. Diabetologia. 54(10). 2649–2659. 209 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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