Yoriko Heianza

10.3k total citations · 7 hit papers
188 papers, 6.3k citations indexed

About

Yoriko Heianza is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yoriko Heianza has authored 188 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Physiology, 55 papers in Public Health, Environmental and Occupational Health and 49 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yoriko Heianza's work include Diet and metabolism studies (56 papers), Nutritional Studies and Diet (37 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers). Yoriko Heianza is often cited by papers focused on Diet and metabolism studies (56 papers), Nutritional Studies and Diet (37 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers). Yoriko Heianza collaborates with scholars based in United States, China and Japan. Yoriko Heianza's co-authors include Lu Qi, Tao Zhou, Dianjianyi Sun, Xiang Li, Hao Ma, Hirohito Sone, JoAnn E. Manson, Satoru Kodama, Wenjie Ma and Kathryn M. Rexrode and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Yoriko Heianza

175 papers receiving 6.2k citations

Hit Papers

Sleep patterns, genetic susceptibility, and incident card... 2017 2026 2020 2023 2019 2017 2023 2023 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoriko Heianza United States 41 1.8k 1.6k 1.3k 1.3k 1.0k 188 6.3k
Zheng Bian China 45 1.4k 0.8× 1.6k 1.0× 1.1k 0.9× 917 0.7× 1.4k 1.4× 183 7.9k
Nancy S. Jenny United States 59 2.4k 1.3× 1.5k 0.9× 872 0.7× 1.1k 0.9× 2.2k 2.2× 177 10.6k
Giovanni De Pergola Italy 49 3.0k 1.6× 1.4k 0.9× 2.5k 1.9× 1.2k 0.9× 1.0k 1.0× 271 9.3k
Hiroshi Yatsuya Japan 49 1.5k 0.8× 1.9k 1.2× 1.1k 0.9× 582 0.5× 1.8k 1.7× 312 8.1k
Zhilei Shan China 37 1.5k 0.8× 1.8k 1.1× 760 0.6× 729 0.6× 487 0.5× 93 5.8k
Cornelia Weikert Germany 42 1.5k 0.8× 1.5k 0.9× 809 0.6× 1.0k 0.8× 593 0.6× 123 5.8k
Katherine M. Morrison Canada 45 1.7k 0.9× 1.9k 1.2× 1.2k 0.9× 1.1k 0.9× 555 0.5× 203 7.2k
Nina Hutri‐Kähönen Finland 45 1.2k 0.7× 2.2k 1.3× 1.2k 0.9× 736 0.6× 2.8k 2.7× 249 7.5k
John P. Forman United States 55 1.2k 0.6× 1.6k 1.0× 981 0.8× 536 0.4× 1.4k 1.3× 129 8.2k
Yoshiyuki Watanabe Japan 46 1.1k 0.6× 1.5k 0.9× 504 0.4× 954 0.8× 949 0.9× 229 7.2k

Countries citing papers authored by Yoriko Heianza

Since Specialization
Citations

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

Fields of papers citing papers by Yoriko Heianza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoriko Heianza

This figure shows the co-authorship network connecting the top 25 collaborators of Yoriko Heianza. A scholar is included among the top collaborators of Yoriko Heianza 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 Yoriko Heianza. Yoriko Heianza 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.
Heianza, Yoriko, Qi Sun, Xuan Wang, et al.. (2024). Plasma levels of polyols erythritol, mannitol, and sorbitol and incident coronary heart disease among women. European Journal of Preventive Cardiology. 32(5). 404–414. 2 indexed citations
2.
Kou, Minghao, Xiang Li, Xuan Wang, et al.. (2024). Degree of joint risk factor control and incident chronic kidney disease among individuals with obesity. Diabetes Obesity and Metabolism. 26(11). 4864–4874. 2 indexed citations
3.
Heianza, Yoriko, Qiaochu Xue, Jennifer Rood, et al.. (2024). Changes in bile acid subtypes and improvements in lipid metabolism and atherosclerotic cardiovascular disease risk: the Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) trial. American Journal of Clinical Nutrition. 119(5). 1293–1300. 4 indexed citations
4.
Li, Xiang, Xuan Wang, Hao Ma, et al.. (2024). Association of white matter hyperintensities with BMD, incident fractures, and falls in the UK Biobank cohort. Journal of Bone and Mineral Research. 39(4). 408–416. 1 indexed citations
7.
Heianza, Yoriko, Saumya Tiwari, Xuan Wang, et al.. (2024). Gut-Microbiota-Related Metabolite Phenylacetylglutamine and Risk of Incident Coronary Heart Disease Among Women. The Journal of Clinical Endocrinology & Metabolism. 110(5). e1531–e1539. 4 indexed citations
8.
Wang, Xuan, Hao Ma, Xiang Li, et al.. (2023). Association of Cardiovascular Health With Life Expectancy Free of Cardiovascular Disease, Diabetes, Cancer, and Dementia in UK Adults. JAMA Internal Medicine. 183(4). 340–340. 106 indexed citations breakdown →
9.
Wang, Xuan, et al.. (2023). Joint association of loneliness and traditional risk factor control and incident cardiovascular disease in diabetes patients. European Heart Journal. 44(28). 2583–2591. 67 indexed citations breakdown →
11.
Song, Qiying, Mengying Wang, Tao Zhou, et al.. (2022). The Lifestyle-Related Cardiovascular Risk Is Modified by Sleep Patterns. Mayo Clinic Proceedings. 97(3). 519–530. 21 indexed citations
12.
Geng, Tingting, Xiang Li, Hao Ma, Yoriko Heianza, & Lu Qi. (2022). Adherence to a Healthy Sleep Pattern and Risk of Chronic Kidney Disease: The UK Biobank Study. Mayo Clinic Proceedings. 97(1). 68–77. 44 indexed citations
14.
Heianza, Yoriko, Wenjie Ma, Joseph A. DiDonato, et al.. (2021). Ten-year changes in plasma L-carnitine levels and risk of coronary heart disease. European Journal of Nutrition. 61(3). 1353–1362. 7 indexed citations
15.
Ma, Hao, Xiang Li, Tao Zhou, et al.. (2021). Alcohol Consumption Levels as Compared With Drinking Habits in Predicting All-Cause Mortality and Cause-Specific Mortality in Current Drinkers. Mayo Clinic Proceedings. 96(7). 1758–1769. 20 indexed citations
16.
Zheng, Yan, Min Xu, Yoriko Heianza, et al.. (2018). Gallstone disease and increased risk of mortality: Two large prospective studies in US men and women. Journal of Gastroenterology and Hepatology. 33(11). 1925–1931. 31 indexed citations
17.
Heianza, Yoriko, Wenjie Ma, Dianjianyi Sun, et al.. (2017). Abstract 14459: Changes in Gut Microbiota Metabolites and Successful Weight-loss in Response to Weight-Loss Diets: The POUNDS Lost Trial. Circulation. 1 indexed citations
19.
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
20.
Fujihara, Kazuya, Hiroaki Suzuki, Akira Sato, et al.. (2015). Circulating Malondialdehyde-Modified LDL-Related Variables and Coronary Artery Stenosis in Asymptomatic Patients with Type 2 Diabetes. Journal of Diabetes Research. 2015. 1–8. 8 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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