Kenya Sakamoto

2.1k total citations
41 papers, 1.8k citations indexed

About

Kenya Sakamoto is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Kenya Sakamoto has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 13 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Surgery. Recurrent topics in Kenya Sakamoto's work include Cardiovascular Health and Disease Prevention (10 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Kenya Sakamoto is often cited by papers focused on Cardiovascular Health and Disease Prevention (10 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Kenya Sakamoto collaborates with scholars based in Japan, United States and Tunisia. Kenya Sakamoto's co-authors include Yoshimitsu Yamasaki, Munehide Matsuhisa, Naoto Katakami, Taka‐aki Matsuoka, Hideaki Kaneto, Yoshitaka Kajimoto, Keisuke Kosugi, Dan Kawamori, Takeshi Miyatsuka and Hideaki Kaneto and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes Care and Diabetes.

In The Last Decade

Kenya Sakamoto

41 papers receiving 1.7k citations

Peers

Kenya Sakamoto
Kenya Sakamoto
Citations per year, relative to Kenya Sakamoto Kenya Sakamoto (= 1×) peers Domenico De Cesare

Countries citing papers authored by Kenya Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kenya Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenya Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kenya Sakamoto. A scholar is included among the top collaborators of Kenya Sakamoto 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 Kenya Sakamoto. Kenya Sakamoto 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.
Sakamoto, Kenya, et al.. (2023). Subjective Difficulty Estimation of Educational Comics Using Gaze Features. IEICE Transactions on Information and Systems. E106.D(5). 1038–1048. 1 indexed citations
2.
Katakami, Naoto, Yoko Irie, Yuichi Yamamoto, et al.. (2015). The Usefulness of a Cholesterol Absorption Inhibitor in Japanese Type 2 Diabetes Patients with Dyslipidemia. Diabetes Technology & Therapeutics. 17(6). 427–434. 1 indexed citations
3.
Irie, Yoko, Naoto Katakami, Hideaki Kaneto, et al.. (2014). The risk factors associated with ultrasonic tissue characterization of carotid plaque in type 2 diabetic patients. Journal of Diabetes and its Complications. 28(4). 523–527. 14 indexed citations
4.
Yasuda, Tetsuyuki, Hideaki Kaneto, Naoto Katakami, et al.. (2014). Vitamin D deficiency is significantly associated with retinopathy in young Japanese type 1 diabetic patients. Diabetes Research and Clinical Practice. 106(2). e41–e43. 29 indexed citations
5.
Irie, Yoko, Naoto Katakami, Hideaki Kaneto, et al.. (2013). The utility of ultrasonic tissue characterization of carotid plaque in the prediction of cardiovascular events in diabetic patients. Atherosclerosis. 230(2). 399–405. 35 indexed citations
6.
Sakamoto, Kenya, Kazutomi Yoshiuchi, Toshiyuki Sato, et al.. (2013). Usefulness of a novel system for measuring glucose area under the curve while screening for glucose intolerance in outpatients. Journal of Diabetes Investigation. 4(6). 552–559. 17 indexed citations
7.
Katakami, Naoto, Hideaki Kaneto, Fumie Sakamoto, et al.. (2012). Plasma pentraxin 3 levels are associated with carotid IMT in type 1 diabetic patients. Diabetes Research and Clinical Practice. 99(2). 185–191. 14 indexed citations
8.
Kuroda, Akio, Hideaki Kaneto, Satoshi Kawashima, et al.. (2012). Regular insulin, rather than rapid‐acting insulin, is a suitable choice for premeal bolus insulin in lean patients with type 2 diabetes mellitus. Journal of Diabetes Investigation. 4(1). 78–81. 2 indexed citations
9.
Irie, Yoko, Naoto Katakami, Hideaki Kaneto, et al.. (2012). Maximum carotid intima-media thickness improves the prediction ability of coronary artery stenosis in type 2 diabetic patients without history of coronary artery disease. Atherosclerosis. 221(2). 438–444. 49 indexed citations
10.
Katakami, Naoto, Munehide Matsuhisa, Hideaki Kaneto, et al.. (2008). Serum endogenous secretory RAGE level is an independent risk factor for the progression of carotid atherosclerosis in type 1 diabetes. Atherosclerosis. 204(1). 288–292. 67 indexed citations
11.
Kaneto, Hideaki, Taka‐aki Matsuoka, Naoto Katakami, et al.. (2007). Oxidative Stress and the JNK Pathway are Involved in the Development of Type 1 and Type 2 Diabetes. Current Molecular Medicine. 7(7). 674–686. 84 indexed citations
12.
Nakatani, Yoichiro, Hideaki Kaneto, Masahiro Hatazaki, et al.. (2005). Increased stress protein ORP150 autoantibody production in Type 1 diabetic patients. Diabetic Medicine. 23(2). 216–219. 16 indexed citations
13.
Katakami, Naoto, Hideaki Kaneto, Hiroyuki Hao, et al.. (2004). Role of Pim-1 in Smooth Muscle Cell Proliferation. Journal of Biological Chemistry. 279(52). 54742–54749. 62 indexed citations
14.
Kodama, Mineo, Yoshimitsu Yamasaki, Kenya Sakamoto, et al.. (2000). Antiplatelet Drugs Attenuate Progression of Carotid Intima-Media Thickness in Subjects with Type 2 Diabetes. Thrombosis Research. 97(4). 239–245. 62 indexed citations
15.
Kaneto, Hideaki, Yoshitaka Kajimoto, Yoshio Fujitani, et al.. (1999). Oxidative stress induces p21 expression in pancreatic islet cells: possible implication in beta-cell dysfunction. Diabetologia. 42(9). 1093–1097. 96 indexed citations
16.
Sakamoto, Kenya, Hideaki Kaneto, Yoshio Fujitani, et al.. (1999). Identification of oxidative stress‐regulated genes in rat aortic smooth muscle cells by suppression subtractive hybridization. FEBS Letters. 461(1-2). 47–51. 17 indexed citations
17.
Yamasaki, Yuzo, Kenya Sakamoto, Hirotaka Watada, Yoshitaka Kajimoto, & Masatsugu Hori. (1997). The Arg 192 isoform of paraoxonase with low sarin-hydrolyzing activity is dominant in the Japanese. Human Genetics. 101(1). 67–68. 29 indexed citations
18.
Fukui, Hirokazu, Katsumi Fujimoto, Hiroyuki Mizuguchi, et al.. (1994). Molecular Cloning of the Human Histamine H1 Receptor Gene. Biochemical and Biophysical Research Communications. 201(2). 894–901. 116 indexed citations
19.
Hasumi, Akitake, et al.. (1986). Evaluation of emergency non-surgical treatments for bleeding esophago-gastric varices.. Kanzo. 27(11). 1606–1615. 2 indexed citations
20.
Funabiki, Takahiko, et al.. (1980). END-TO-SIDE CHOLEDOCHODUODENOSTOMY. The Japanese Journal of Gastroenterological Surgery. 13(8). 997–1007. 4 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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