Tomio Onuma

1.9k total citations
53 papers, 1.4k citations indexed

About

Tomio Onuma is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Tomio Onuma has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Cardiology and Cardiovascular Medicine and 12 papers in Molecular Biology. Recurrent topics in Tomio Onuma's work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Diabetes Treatment and Management (14 papers) and Diabetes Management and Research (7 papers). Tomio Onuma is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Diabetes Treatment and Management (14 papers) and Diabetes Management and Research (7 papers). Tomio Onuma collaborates with scholars based in Japan, United States and China. Tomio Onuma's co-authors include Ryuzo Kawamori, Yasushi Tanaka, Kazuo Takebe, Andrzej S. Królewski, Hirotaka Watada, Hidenori Yoshii, Takashi Goto, John G. Kral, N Mitsuhashi and James H. Warram and has published in prestigious journals such as Diabetes Care, Diabetes and Scientific Reports.

In The Last Decade

Tomio Onuma

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomio Onuma Japan 24 778 425 288 260 200 53 1.4k
Anders Jorsal Denmark 24 818 1.1× 641 1.5× 473 1.6× 229 0.9× 410 2.0× 39 1.9k
Keisuke Kosugi Japan 20 685 0.9× 436 1.0× 262 0.9× 237 0.9× 91 0.5× 37 1.4k
Stefan Schäfer Germany 22 532 0.7× 524 1.2× 659 2.3× 253 1.0× 166 0.8× 59 1.7k
Sammy W.M. Shiu Hong Kong 24 725 0.9× 156 0.4× 245 0.9× 308 1.2× 129 0.6× 35 1.3k
Kengo Azushima Japan 21 492 0.6× 503 1.2× 390 1.4× 226 0.9× 162 0.8× 94 1.5k
Monica Vedovato Italy 25 836 1.1× 407 1.0× 331 1.1× 204 0.8× 288 1.4× 65 2.0k
Maria Lajer Denmark 24 466 0.6× 416 1.0× 462 1.6× 253 1.0× 367 1.8× 53 1.7k
Elena Henkel Germany 16 1.6k 2.0× 529 1.2× 673 2.3× 347 1.3× 285 1.4× 34 2.3k
Hiromichi Wakui Japan 26 583 0.7× 816 1.9× 470 1.6× 278 1.1× 228 1.1× 125 1.9k
Shawna A. Cooper United States 16 346 0.4× 385 0.9× 432 1.5× 235 0.9× 263 1.3× 22 1.3k

Countries citing papers authored by Tomio Onuma

Since Specialization
Citations

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

Fields of papers citing papers by Tomio Onuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomio Onuma

This figure shows the co-authorship network connecting the top 25 collaborators of Tomio Onuma. A scholar is included among the top collaborators of Tomio Onuma 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 Tomio Onuma. Tomio Onuma 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.
Mita, Tomoya, Naoto Katakami, Hidenori Yoshii, et al.. (2025). Long-term efficacy and safety of early sitagliptin initiation in individuals with type 2 diabetes: an extension of the SPIKE study. Diabetology International. 16(2). 272–284.
2.
Mita, Tomoya, Naoto Katakami, Hidenori Yoshii, et al.. (2023). Long-term efficacy and safety of early alogliptin initiation in subjects with type 2 diabetes: an extension of the SPEAD-A study. Scientific Reports. 13(1). 14649–14649. 5 indexed citations
3.
Mita, Tomoya, Hidenori Yoshii, Yuki Someya, et al.. (2021). Olfactory dysfunction predicts the development of dementia in older patients with type 2 diabetes. Diabetes Research and Clinical Practice. 174. 108740–108740. 10 indexed citations
4.
Araki, Atsushi, Hiroyuki Umegaki, Takashi Sakurai, et al.. (2020). Determinants and impact of physical impairment in patient-reported outcomes among older patients with type 2 diabetes mellitus in Japan. Current Medical Research and Opinion. 37(3). 393–402. 2 indexed citations
5.
Idei, Mayumi, Satoshi Hirayama, Noriko Miyake, et al.. (2014). Mean postprandial triglyceride concentration is an independent risk factor for carotid atherosclerosis in patients with type 2 diabetes. Clinica Chimica Acta. 430. 134–139. 16 indexed citations
6.
7.
Yoshii, Hidenori, Tomoya Mita, Junko Sato, et al.. (2011). Comparison of effects of azelnidipine and trichlormethiazide in combination with olmesartan on blood pressure and metabolic parameters in hypertensive type 2 diabetic patients. Journal of Diabetes Investigation. 2(6). 490–496. 2 indexed citations
8.
Onuma, Tomio, et al.. (2004). Association between LDL particle size and postprandial increase of remnant-like particles in Japanese type 2 diabetic patients. Diabetes Research and Clinical Practice. 66(3). 245–252. 8 indexed citations
9.
Watanabe, Kenji, Hiroshi Uchino, Chie Ohmura, et al.. (2004). Different effects of two α-glucosidase inhibitors, acarbose and voglibose, on serum 1,5-anhydroglucitol (1,5AG) level. Journal of Diabetes and its Complications. 18(3). 183–186. 27 indexed citations
10.
Ogawa, Osamu, et al.. (2004). Ankle brachial pressure index and carotid intima-media thickness as atherosclerosis markers in Japanese diabetics. Diabetes Research and Clinical Practice. 66(3). 269–275. 27 indexed citations
11.
Inouye, Masayuki, et al.. (2003). Relationship between carotid atherosclerosis and erythrocyte membrane cholesterol oxidation products in type 2 diabetic patients. Diabetes Research and Clinical Practice. 61(2). 81–88. 18 indexed citations
12.
Ogawa, Osamu, et al.. (2003). Brachial-ankle pulse wave velocity and symptomatic cerebral infarction in patients with type 2 diabetes: a cross-sectional study. Cardiovascular Diabetology. 2(1). 10–10. 23 indexed citations
13.
Shimizu, Tomoaki, Tomio Onuma, Ryuzo Kawamori, Yuichiro Makita, & Yasuhiko Tomino. (2002). Endothelial nitric oxide synthase gene and the development of diabetic nephropathy. Diabetes Research and Clinical Practice. 58(3). 179–185. 39 indexed citations
14.
Tanaka, Yasushi, Yoshihito Atsumi, Atsuko Mokubo, et al.. (2001). Usefulness of stable HbA1c for supportive marker to diagnose diabetes mellitus in Japanese subjects. Diabetes Research and Clinical Practice. 53(1). 41–45. 39 indexed citations
15.
Tamasawa, Naoki, Hiroshi Murakami, Tomio Onuma, et al.. (1998). Identification of homozygous lipoprotein lipase gene mutation in a woman with recurrent aggravation of hypertriglyceridaemia induced by pregnancy. Journal of Internal Medicine. 243(4). 317–321. 31 indexed citations
16.
Tamasawa, Atsuko, et al.. (1994). Lipid Composition of Platelets in Patients with Non‐insulin‐dependent Diabetes Mellitus: Studies Before and After Treatment of Diabetes. Diabetic Medicine. 11(3). 268–272. 1 indexed citations
17.
Kikuchi, Toru, et al.. (1994). The Effects of α-Tocopherol on Oxidation of Low Density Lipoprotein in Diabetic Patients. 46(2). 99–104. 1 indexed citations
18.
Nakamura, Teruo, et al.. (1994). Altered Postprandial Insulin Requirement in IDDM Patients With Gastroparesis. Diabetes Care. 17(8). 901–903. 72 indexed citations
19.
Arai, Hiroyuki, et al.. (1992). [Penetrating injury of the common carotid artery: report of a case].. PubMed. 20(9). 991–5.
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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