Masumi Ai

5.8k total citations
68 papers, 1.8k citations indexed

About

Masumi Ai is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Masumi Ai has authored 68 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Endocrinology, Diabetes and Metabolism, 37 papers in Surgery and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Masumi Ai's work include Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers), Lipoproteins and Cardiovascular Health (28 papers) and Cancer, Lipids, and Metabolism (14 papers). Masumi Ai is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers), Lipoproteins and Cardiovascular Health (28 papers) and Cancer, Lipids, and Metabolism (14 papers). Masumi Ai collaborates with scholars based in Japan, United States and Taiwan. Masumi Ai's co-authors include Ernst J. Schaefer, Seiko Otokozawa, Bela F. Asztalos, Katsuyuki Nakajima, Akira Tanaka, L. Adrienne Cupples, Peter H. Jones, Nirupa R. Matthan, Evan A. Stein and Charles C. White and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Masumi Ai

67 papers receiving 1.7k citations

Peers

Masumi Ai
Esther Ooi Australia
Megan F. Burke United States
Kashif Jafri United States
Megan Mucksavage United States
Dorothy Bedford United Kingdom
Katalin V. Horvath United States
Esther Ooi Australia
Masumi Ai
Citations per year, relative to Masumi Ai Masumi Ai (= 1×) peers Esther Ooi

Countries citing papers authored by Masumi Ai

Since Specialization
Citations

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

Fields of papers citing papers by Masumi Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masumi Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Masumi Ai. A scholar is included among the top collaborators of Masumi Ai 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 Masumi Ai. Masumi Ai 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.
Yamämoto, Yasushi, et al.. (2023). Small Dense Low-Density Lipoprotein Cholesterol Levels in Breakfast Skippers and Staple Foods Skippers. Journal of Atherosclerosis and Thrombosis. 30(10). 1376–1388. 3 indexed citations
2.
Ikezaki, Hiroaki, Norihiro Furusyo, Masumi Ai, et al.. (2023). Relationship between the cholesterol and triglyceride content of lipoprotein subclasses and carotid intima-media thickness: A cross-sectional population-based study. Clinica Chimica Acta. 548. 117521–117521. 1 indexed citations
3.
Urayama, Kevin Y., et al.. (2023). Relationship between dietary fiber to carbohydrate ratio and mortality risk in US adults: NHANES 2007–2018. Nutrition Metabolism and Cardiovascular Diseases. 34(3). 661–671. 4 indexed citations
5.
Yamämoto, Yasushi, et al.. (2022). Reference interval for serum concentration of small dense low-density lipoprotein cholesterol in the healthy Japanese population. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 59(4). 242–252. 2 indexed citations
6.
Ai, Masumi, et al.. (2018). Association between dietary fibre:carbohydrate intake ratio and insulin resistance in Japanese adults without type 2 diabetes. British Journal Of Nutrition. 119(6). 620–628. 15 indexed citations
7.
Kanda, Eiichiro, Masumi Ai, Mitsuyo Okazaki, Masayuki Yoshida, & Yoshitaka Maeda. (2016). Association of High-Density Lipoprotein Subclasses with Chronic Kidney Disease Progression, Atherosclerosis, and Klotho. PLoS ONE. 11(11). e0166459–e0166459. 12 indexed citations
8.
Fujitani, Yoshio, Shimpei Fujimoto, Hiroaki Satoh, et al.. (2016). Effects of linagliptin monotherapy compared with voglibose on postprandial blood glucose responses in Japanese patients with type 2 diabetes: Linagliptin Study of Effects on Postprandial blood glucose (L-STEP). Diabetes Research and Clinical Practice. 121. 146–156. 8 indexed citations
9.
Ai, Masumi, Eiichiro Kanda, Neng Yu, et al.. (2015). A comparison of glycated albumin and glycosylated hemoglobin for the screening of diabetes mellitus in Taiwan. Atherosclerosis. 242(1). 327–333. 24 indexed citations
10.
Kanda, Eiichiro, Masumi Ai, Mitsuyo Okazaki, et al.. (2013). The association of very-low-density lipoprotein with ankle-brachial index in peritoneal dialysis patients with controlled serum low-density lipoprotein cholesterol level. BMC Nephrology. 14(1). 212–212. 6 indexed citations
11.
Kanda, Eiichiro, Masumi Ai, Mitsuyo Okazaki, et al.. (2013). Relationship between Icodextrin use and decreased level of small low-density lipoprotein cholesterol fractioned by high-performance gel permeation chromatography. BMC Nephrology. 14(1). 234–234. 2 indexed citations
12.
Furusyo, Norihiro, Masumi Ai, Mitsuyo Okazaki, et al.. (2013). Serum cholesterol and triglyceride reference ranges of twenty lipoprotein subclasses for healthy Japanese men and women. Atherosclerosis. 231(2). 238–245. 24 indexed citations
13.
Thongtang, Nuntakorn, Masumi Ai, Seiko Otokozawa, et al.. (2011). Effects of Maximal Atorvastatin and Rosuvastatin Treatment on Markers of Glucose Homeostasis and Inflammation. The American Journal of Cardiology. 107(3). 387–392. 62 indexed citations
14.
Otokozawa, Seiko, Masumi Ai, Bela F. Asztalos, et al.. (2010). Direct assessment of plasma low density lipoprotein and high density lipoprotein cholesterol levels and coronary heart disease: Results from the Framingham Offspring Study. Atherosclerosis. 213(1). 251–255. 26 indexed citations
15.
Ai, Masumi, et al.. (2009). Abstract 1150: Diacylglycerol Oil-Rich Diet Induces Lower Glucose-Dependent Insulinotropic Polypeptide and Insulin Responses in Obese Men. Circulation. 120. 1 indexed citations
16.
Himbergen, Thomas M. van, Seiko Otokozawa, Nirupa R. Matthan, et al.. (2009). Familial Combined Hyperlipidemia Is Associated With Alterations in the Cholesterol Synthesis Pathway. Arteriosclerosis Thrombosis and Vascular Biology. 30(1). 113–120. 35 indexed citations
17.
Ai, Masumi, Seiko Otokozawa, Bela F. Asztalos, et al.. (2007). Effects of Maximal Doses of Atorvastatin Versus Rosuvastatin on Small Dense Low-Density Lipoprotein Cholesterol Levels. The American Journal of Cardiology. 101(3). 315–318. 52 indexed citations
18.
Ai, Masumi, et al.. (2001). Increased Cholesteryl Ester Transfer Protein and Changes in Lipid Metabolism from Initiating Insulin Therapy. Annals of the New York Academy of Sciences. 947(1). 356–361. 5 indexed citations
19.
Tanaka, Akira, et al.. (2001). Metabolism of Triglyceride‐Rich Lipoproteins and Their Role in Atherosclerosis. Annals of the New York Academy of Sciences. 947(1). 207–213. 16 indexed citations
20.
Ai, Masumi, et al.. (2001). Relationship between plasma insulin concentration and plasma remnant lipoprotein response to an oral fat load in patients with type 2 diabetes. Journal of the American College of Cardiology. 38(6). 1628–1632. 56 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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