Yoko Yachi

2.6k total citations
35 papers, 2.0k citations indexed

About

Yoko Yachi is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Yoko Yachi has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Public Health, Environmental and Occupational Health and 8 papers in Physiology. Recurrent topics in Yoko Yachi's work include Obesity, Physical Activity, Diet (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Gestational Diabetes Research and Management (7 papers). Yoko Yachi is often cited by papers focused on Obesity, Physical Activity, Diet (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Gestational Diabetes Research and Management (7 papers). Yoko Yachi collaborates with scholars based in Japan and Netherlands. Yoko Yachi's co-authors include Hirohito Sone, Satoru Kodama, Kazumi Saito, Chika Horikawa, Hitoshi Shimano, Ayumi Sugawara, Reiko Hirasawa, Shiro Tanaka, Aki Saito and Nobuhiro Yamada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yoko Yachi

34 papers receiving 1.9k citations

Peers

Yoko Yachi
Naoko Mukai Japan
Ga Eun Nam South Korea
Magdalena Olszanecka‐Glinianowicz Poland
Lee‐Ching Hwang Taiwan
Reina Armamento‐Villareal United States
Ana Carolina Junqueira Vasques Brazil
Xingang Zhang China
Simonetta Genovesi Italy
Eunju Sung South Korea
Tomoko Sankai Japan
Naoko Mukai Japan
Yoko Yachi
Citations per year, relative to Yoko Yachi Yoko Yachi (= 1×) peers Naoko Mukai

Countries citing papers authored by Yoko Yachi

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Yachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Yachi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Yachi. A scholar is included among the top collaborators of Yoko Yachi 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 Yachi. Yoko Yachi 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
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Fujihara, Kazuya, Shigeru Iwakabe, Misa Shimpo, et al.. (2016). Development and evaluation of the Japanese version of the Audit of Diabetes-Dependent Quality of Life for patients with diabetes. Diabetology International. 7(4). 384–390. 7 indexed citations
4.
Kodama, Satoru, Kazuya Fujihara, Hajime Ishiguro, et al.. (2016). Quantitative assessment of genetic testing for type 2 diabetes mellitus based on findings of genome-wide association studies. Annals of Epidemiology. 26(11). 816–818.e6. 1 indexed citations
5.
Miyakawa, Happei, Reiko Hirasawa, Yoko Yachi, et al.. (2016). Association of eating three meals irregularly with changes in BMI and weight among young Japanese men and women: A 2-year follow-up. Physiology & Behavior. 163. 81–87. 8 indexed citations
6.
Yachi, Yoko, Yasuhiro Tanaka, Sakiko Yoshizawa, et al.. (2014). Second trimester postload glucose level as an important predictor of low birth weight infants: Tanaka Women's Clinic Study. Diabetes Research and Clinical Practice. 105(3). e16–e19. 1 indexed citations
7.
Horikawa, Chika, Kazuya Fujihara, Reiko Hirasawa, et al.. (2014). High risk of failing eradication of Helicobacter pylori in patients with diabetes: A meta-analysis. Diabetes Research and Clinical Practice. 106(1). 81–87. 39 indexed citations
8.
Kodama, Satoru, Chika Horikawa, Kazuya Fujihara, et al.. (2014). High cholesterol intake is associated with elevated risk of type 2 diabetes mellitus – A meta-analysis1–4. Clinical Nutrition. 33(6). 946–950. 29 indexed citations
9.
Kodama, Satoru, Chika Horikawa, Sakiko Yoshizawa, et al.. (2013). Body Weight Change and Type 2 Diabetes. Epidemiology. 24(5). 778–779. 6 indexed citations
10.
Yachi, Yoko & Hirohito Sone. (2013). Interim Analysis of Dietary Intake and Pregnancy Course in Japanese Pregnant Women. The Japanese Journal of Nutrition and Dietetics. 71(5). 242–252. 1 indexed citations
11.
Kodama, Satoru, Chika Horikawa, Kazuya Fujihara, et al.. (2013). Meta-Analysis of the Quantitative Relation Between Pulse Pressure and Mean Arterial Pressure and Cardiovascular Risk in Patients With Diabetes Mellitus. The American Journal of Cardiology. 113(6). 1058–1065. 36 indexed citations
12.
Hirasawa, Reiko, Yoko Yachi, Sakiko Yoshizawa, et al.. (2013). Quality and accuracy of Internet information concerning a healthy diet. International Journal of Food Sciences and Nutrition. 64(8). 1007–1013. 17 indexed citations
13.
Horikawa, Chika, Satoru Kodama, Shiro Tanaka, et al.. (2012). Diabetes and Risk of Hearing Impairment in Adults: A Meta-Analysis. The Journal of Clinical Endocrinology & Metabolism. 98(1). 51–58. 185 indexed citations
14.
Sugawara, Ayumi, K. Kawai, Kazuki Saito, et al.. (2012). HbA1c variability and the development of microalbuminuria in type 2 diabetes: Tsukuba Kawai Diabetes Registry 2. Diabetologia. 55(8). 2128–2131. 87 indexed citations
15.
Kodama, Satoru, Chika Horikawa, Kazuya Fujihara, et al.. (2012). Comparisons of the Strength of Associations With Future Type 2 Diabetes Risk Among Anthropometric Obesity Indicators, Including Waist-to-Height Ratio: A Meta-Analysis. American Journal of Epidemiology. 176(11). 959–969. 175 indexed citations
16.
Kodama, Satoru, Kazumi Saito, Shiro Tanaka, et al.. (2011). Alcohol Consumption and Risk of Atrial Fibrillation. Journal of the American College of Cardiology. 57(4). 427–436. 209 indexed citations
17.
Horikawa, Chika, Satoru Kodama, Yoko Yachi, et al.. (2011). Skipping breakfast and prevalence of overweight and obesity in Asian and Pacific regions: A meta-analysis. Preventive Medicine. 53(4-5). 260–267. 195 indexed citations
18.
Hirasawa, Reiko, Kazumi Saito, Yoko Yachi, et al.. (2011). Quality of Internet information related to the Mediterranean diet. Public Health Nutrition. 15(5). 885–893. 34 indexed citations
19.
Kodama, Satoru, Kazuki Saito, Shiro Tanaka, et al.. (2011). Effect of web-based lifestyle modification on weight control: a meta-analysis. International Journal of Obesity. 36(5). 675–685. 106 indexed citations
20.
Totsuka, Kumiko, Takami Maeno, Kazumi Saito, et al.. (2011). Self-reported fast eating is a potent predictor of development of impaired glucose tolerance in Japanese men and women: Tsukuba Medical Center Study. Diabetes Research and Clinical Practice. 94(3). e72–e74. 10 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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