Yoko Irie

481 total citations
17 papers, 362 citations indexed

About

Yoko Irie is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yoko Irie has authored 17 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yoko Irie's work include Cerebrovascular and Carotid Artery Diseases (9 papers), Cardiovascular Health and Disease Prevention (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Yoko Irie is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (9 papers), Cardiovascular Health and Disease Prevention (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Yoko Irie collaborates with scholars based in Japan. Yoko Irie's co-authors include Naoto Katakami, Iichiro Shimomura, Hideaki Kaneto, Mitsuyoshi Takahara, Kenya Sakamoto, Keisuke Kosugi, Taka‐aki Matsuoka, Yutaka Umayahara, Tetsuyuki Yasuda and Fumie Sakamoto and has published in prestigious journals such as Diabetes Care, Atherosclerosis and Diabetes Research and Clinical Practice.

In The Last Decade

Yoko Irie

17 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoko Irie Japan 12 186 120 109 81 45 17 362
Stine Andersen Denmark 13 374 2.0× 65 0.5× 335 3.1× 75 0.9× 15 0.3× 26 608
Coimbatore Subramaniam Shanthirani India 5 136 0.7× 175 1.5× 38 0.3× 18 0.2× 25 0.6× 5 375
Marie McNulty Ireland 6 132 0.7× 52 0.4× 51 0.5× 71 0.9× 8 0.2× 9 298
A. Sofia Italy 11 117 0.6× 85 0.7× 41 0.4× 58 0.7× 17 0.4× 22 485
Branislava Ivanović Serbia 8 143 0.8× 32 0.3× 74 0.7× 11 0.1× 42 0.9× 26 327
Gheorghe Bozdog Romania 9 45 0.2× 32 0.3× 91 0.8× 21 0.3× 47 1.0× 42 394
M. Andrassy Germany 9 76 0.4× 49 0.4× 134 1.2× 100 1.2× 6 0.1× 14 318
K. N�rgaard Denmark 8 108 0.6× 202 1.7× 40 0.4× 28 0.3× 10 0.2× 9 423
Bing Hua China 9 151 0.8× 134 1.1× 24 0.2× 11 0.1× 46 1.0× 16 265
Campbell Kyle New Zealand 11 135 0.7× 76 0.6× 12 0.1× 29 0.4× 37 0.8× 26 357

Countries citing papers authored by Yoko Irie

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Irie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Irie

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

All Works

17 of 17 papers shown
1.
Obata, Yoshinari, et al.. (2022). Metformin-associated Lactic Acidosis with Hypoglycemia during the COVID-19 Pandemic. Internal Medicine. 61(15). 2333–2337. 4 indexed citations
2.
Mori, Hiroyasu, Tetsuyuki Yasuda, Yoko Irie, et al.. (2021). A low serum IGF-1 is correlated with sarcopenia in subjects with type 1 diabetes mellitus: Findings from a post-hoc analysis of the iDIAMOND study. Diabetes Research and Clinical Practice. 179. 108998–108998. 13 indexed citations
3.
Irie, Yoko, et al.. (2021). Medium-term Influence of the Coronavirus Disease 2019 Pandemic on Patients with Diabetes: A Single-center Cross-sectional Study. Internal Medicine. 61(3). 303–311. 5 indexed citations
4.
Irie, Yoko, et al.. (2019). Improving Effects of SGLT2 Inhibitors on the Hepatic Function and FIB4 Index in Patients With Type 2 Diabetes. 62(5). 322–329. 1 indexed citations
5.
Katakami, Naoto, Tomoya Mita, Masahiko Gosho, et al.. (2018). Clinical Utility of Carotid Ultrasonography in the Prediction of Cardiovascular Events in Patients with Diabetes: A Combined Analysis of Data Obtained in Five Longitudinal Studies. Journal of Atherosclerosis and Thrombosis. 25(10). 1053–1066. 34 indexed citations
6.
Irie, Yoko, Naoto Katakami, Tomoya Mita, et al.. (2018). Evaluation of the Effect of Alogliptin on Tissue Characteristics of the Carotid Wall: Subanalysis of the SPEAD-A Trial. Diabetes Therapy. 9(1). 317–329. 3 indexed citations
7.
8.
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
9.
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
10.
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
11.
Fujisawa, Keiko K., Naoto Katakami, Hideaki Kaneto, et al.. (2013). Circulating soluble RAGE as a predictive biomarker of cardiovascular event risk in patients with type 2 diabetes. Atherosclerosis. 227(2). 425–428. 84 indexed citations
12.
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
13.
Irie, Yoko, Naoto Katakami, Hideaki Kaneto, et al.. (2013). The Utility of Carotid Ultrasonography in Identifying Severe Coronary Artery Disease in Asymptomatic Type 2 Diabetic Patients Without History of Coronary Artery Disease. Diabetes Care. 36(5). 1327–1334. 21 indexed citations
14.
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
15.
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
16.
Katakami, Naoto, Mitsuyoshi Takahara, Hideaki Kaneto, et al.. (2012). Ultrasonic Tissue Characterization of Carotid Plaque Improves the Prediction of Cardiovascular Events in Diabetic Patients. Diabetes Care. 35(12). 2640–2646. 17 indexed citations
17.
Irie, Yoko, Kenya Sakamoto, Yutaka Umayahara, et al.. (2011). Association of Coronary Artery Stenosis with Carotid Atherosclerosis in Asymptomatic Type 2 Diabetic Patients. Journal of Atherosclerosis and Thrombosis. 18(4). 337–344. 20 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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2026