Rika Matsutomo

472 total citations
14 papers, 295 citations indexed

About

Rika Matsutomo is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Rika Matsutomo has authored 14 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Rika Matsutomo's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Rika Matsutomo is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Rika Matsutomo collaborates with scholars based in Japan. Rika Matsutomo's co-authors include Yoshimasa Aso, Kohzo Takebayashi, Toshihiko Inukai, Sadao Wakabayashi, Ruriko Yamamoto, Noboru Yoshida, Ki-ichi Okumura, Mariko Suetsugu, Sachiko Matsumoto and Y. Inukai and has published in prestigious journals such as Diabetes Care, Clinica Chimica Acta and Metabolism.

In The Last Decade

Rika Matsutomo

14 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rika Matsutomo Japan 11 105 87 77 74 53 14 295
Li Jin Pu China 10 141 1.3× 120 1.4× 75 1.0× 85 1.1× 46 0.9× 12 389
Evrim Çakır Türkiye 13 212 2.0× 100 1.1× 98 1.3× 56 0.8× 41 0.8× 43 444
Aki Ikoma Japan 9 135 1.3× 98 1.1× 60 0.8× 79 1.1× 32 0.6× 23 308
Min Ho Cho South Korea 10 124 1.2× 82 0.9× 67 0.9× 85 1.1× 90 1.7× 25 355
Kazuyuki Namai Japan 10 93 0.9× 38 0.4× 115 1.5× 85 1.1× 48 0.9× 15 278
Ki-ichi Okumura Japan 7 80 0.8× 97 1.1× 55 0.7× 81 1.1× 41 0.8× 9 332
Xixiang Tang China 13 149 1.4× 84 1.0× 54 0.7× 56 0.8× 36 0.7× 31 386
Camille Marciniak France 10 81 0.8× 92 1.1× 102 1.3× 68 0.9× 46 0.9× 27 332
Akio Ohta Japan 9 188 1.8× 29 0.3× 90 1.2× 50 0.7× 52 1.0× 20 366
Margherita Calcagnino Italy 6 80 0.8× 227 2.6× 32 0.4× 73 1.0× 63 1.2× 12 495

Countries citing papers authored by Rika Matsutomo

Since Specialization
Citations

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

Fields of papers citing papers by Rika Matsutomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Matsutomo

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

All Works

14 of 14 papers shown
1.
Inukai, Toshihiko, Rika Matsutomo, K. Tayama, Yoshimasa Aso, & Y Takemura. (2009). Relation between the serum level of C-peptide and risk factors for coronary heart disease and diabetic microangiopathy in patients with type-2 diabetes mellitus. Experimental and Clinical Endocrinology & Diabetes. 107(1). 40–45. 19 indexed citations
2.
Aso, Yoshimasa, Ruriko Yamamoto, Mariko Suetsugu, et al.. (2007). Comparison of the effects of pioglitazone and voglibose on circulating total and high‐molecular‐weight adiponectin, and on two fibrinolysis inhibitors, in patients with Type 2 diabetes. Diabetic Medicine. 24(9). 962–968. 22 indexed citations
3.
Takebayashi, Kohzo, Mariko Suetsugu, Rika Matsutomo, et al.. (2006). Correlation of High-sensitivity C-reactive Protein and Plasma Fibrinogen with Individual Complications in Patients with Type 2 Diabetes. Southern Medical Journal. 99(1). 23–27. 17 indexed citations
4.
Takebayashi, Kohzo, Rika Matsutomo, Sachiko Matsumoto, et al.. (2006). Relationships between Heart Rate Variability and Urinary Albumin Excretion in Patients with Type 2 Diabetes. The American Journal of the Medical Sciences. 331(2). 72–78. 4 indexed citations
5.
Takebayashi, Kohzo, Sachiko Matsumoto, Sadao Wakabayashi, et al.. (2005). The effect of low-dose atorvastatin on circulating monocyte chemoattractant protein–1 in patients with type 2 diabetes complicated by hyperlipidemia. Metabolism. 54(9). 1225–1229. 17 indexed citations
6.
Inukai, Toshihiko, Noboru Yoshida, Sadao Wakabayashi, et al.. (2005). Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers Effectively and Directly Potentiate Superoxide Scavenging by Polymorphonuclear Leukocytes from Patients with Type 2 Diabetes Mellitus. The American Journal of the Medical Sciences. 329(5). 222–227. 12 indexed citations
7.
Inukai, Toshihiko, Ruriko Yamamoto, Mariko Suetsugu, et al.. (2005). Small low-density lipoprotein and small low-density lipoprotein/total low-density lipoprotein are closely associated with intima-media thickness of the carotid artery in Type 2 diabetic patients. Journal of Diabetes and its Complications. 19(5). 269–275. 13 indexed citations
8.
Aso, Yoshimasa, Sadao Wakabayashi, Ruriko Yamamoto, et al.. (2005). Metabolic Syndrome Accompanied by Hypercholesterolemia Is Strongly Associated With Proinflammatory State and Impairment of Fibrinolysis in Patients With Type 2 Diabetes. Diabetes Care. 28(9). 2211–2216. 59 indexed citations
9.
Matsutomo, Rika, Kohzo Takebayashi, & Yoshimasa Aso. (2005). Assessment of Peripheral Neuropathy Using Measurement of the Current Perception Threshold with the Neurometer® in Patients with Type 2 Diabetes Mellitus. Journal of International Medical Research. 33(4). 442–453. 44 indexed citations
10.
Takebayashi, Kohzo, Yoshimasa Aso, Rika Matsutomo, Sadao Wakabayashi, & Toshihiko Inukai. (2004). Association between the corrected QT intervals and combined intimal-medial thickness of the carotid artery in patients with type 2 diabetes. Metabolism. 53(9). 1152–1157. 16 indexed citations
11.
Aso, Yoshimasa, Noboru Yoshida, Ki-ichi Okumura, et al.. (2004). Coagulation and inflammation in overt diabetic nephropathy: association with hyperhomocysteinemia. Clinica Chimica Acta. 348(1-2). 139–145. 44 indexed citations
12.
Takebayashi, Kohzo, Yoshimasa Aso, Sadao Wakabayashi, et al.. (2004). Measles Encephalitis and Acute Pancreatitis in a Young Adult. The American Journal of the Medical Sciences. 327(5). 299–303. 2 indexed citations
13.
Aso, Yoshimasa, Ki-ichi Okumura, Teruo Inoue, et al.. (2004). Results of Blood Inflammatory Markers Are Associated More Strongly With Toe-Brachial Index Than With Ankle-Brachial Index in Patients With Type 2 Diabetes. Diabetes Care. 27(6). 1381–1386. 17 indexed citations
14.
Inukai, Toshihiko, Y. Inukai, Rika Matsutomo, et al.. (2004). Clinical Usefulness of Doxazosin in Patients with Type 2 Diabetes Complicated by Hypertension: Effects on Glucose and Lipid Metabolism. Journal of International Medical Research. 32(2). 206–213. 9 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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