Yii‐Der Ida Chen

17.8k total citations · 1 hit paper
54 papers, 1.8k citations indexed

About

Yii‐Der Ida Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yii‐Der Ida Chen has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Genetics and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yii‐Der Ida Chen's work include Genetic Associations and Epidemiology (10 papers), Liver Disease Diagnosis and Treatment (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Yii‐Der Ida Chen is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Liver Disease Diagnosis and Treatment (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Yii‐Der Ida Chen collaborates with scholars based in United States, Taiwan and United Kingdom. Yii‐Der Ida Chen's co-authors include Gerald M. Reaven, Clarie B. Hollenbeck, Jerome I. Rotter, Anita H. Payne, Michael J. Shaw, Fahim Abbasi, Xiuqing Guo, Stephen S. Rich, Mark O. Goodarzi and Sun H. Kim and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Gastroenterology.

In The Last Decade

Yii‐Der Ida Chen

52 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Measurement of Plasma Glucose, Free Fatty Acid, Lactate, and Insulin for 24 h in Patients With NIDDM

1988 613 citations Gerald M. Reaven, Yii‐Der Ida Chen et al. Diabetes profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yii‐Der Ida Chen United States	23	576	562	547	330	270	54	1.8k
Yii‐Der I. Chen United States	25	549 1.0×	421 0.7×	629 1.1×	539 1.6×	259 1.0×	57	2.0k
Nobuhiro Shojima Japan	24	829 1.4×	654 1.2×	594 1.1×	589 1.8×	377 1.4×	39	2.3k
Teemu Kuulasmaa Finland	21	628 1.1×	367 0.7×	469 0.9×	288 0.9×	312 1.2×	34	1.5k
I Kinalska Poland	25	490 0.9×	597 1.1×	536 1.0×	644 2.0×	261 1.0×	118	2.2k
Kari E. Wong United States	20	461 0.8×	552 1.0×	298 0.5×	416 1.3×	164 0.6×	38	1.9k
Kurt Kristensen Denmark	25	552 1.0×	738 1.3×	816 1.5×	557 1.7×	241 0.9×	80	2.3k
Pierre‐Henri Ducluzeau France	26	682 1.2×	502 0.9×	360 0.7×	433 1.3×	237 0.9×	49	1.8k
Venetsana Kyriazopoulou Greece	26	787 1.4×	441 0.8×	924 1.7×	372 1.1×	251 0.9×	53	2.5k
Juraj Koška United States	26	483 0.8×	560 1.0×	907 1.7×	382 1.2×	299 1.1×	55	2.0k
Vivion Crowley Ireland	18	1.1k 2.0×	834 1.5×	250 0.5×	373 1.1×	314 1.2×	43	2.2k

Countries citing papers authored by Yii‐Der Ida Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yii‐Der Ida Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yii‐Der Ida Chen. 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 Yii‐Der Ida Chen. The network helps show where Yii‐Der Ida Chen may publish in the future.

Co-authorship network of co-authors of Yii‐Der Ida Chen

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

All Works

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20 of 20 papers shown

Smith, Johanna L., Catherine Tcheandjieu, Ozan Dikilitas, et al.. (2024). Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization. Circulation Genomic and Precision Medicine. 17(3). e004272–e004272. 8 indexed citations

Li, Yang, Jee‐Young Moon, Rhonda Arthur, et al.. (2024). Genetic Subtypes of Prediabetes, Healthy Lifestyle, and Risk of Type 2 Diabetes. Diabetes. 73(7). 1178–1187. 9 indexed citations

Gonzalez, Tania L, Erica T. Wang, Kent D. Taylor, et al.. (2024). Sexually dimorphic DNA methylation and gene expression patterns in human first trimester placenta. Biology of Sex Differences. 15(1). 63–63. 1 indexed citations

Gonzalez, Tania L, Bora Lee, Jinrui Cui, et al.. (2022). Infertility and treatments used have minimal effects on first-trimester placental DNA methylation and gene expression. Fertility and Sterility. 119(2). 301–312. 5 indexed citations

Mongraw‐Chaffin, Morgana, Kristen G. Hairston, Anthony J. Hanley, et al.. (2021). Association of Visceral Adipose Tissue and Insulin Resistance with Incident Metabolic Syndrome Independent of Obesity Status: The IRAS Family Study. Obesity. 29(7). 1195–1202. 13 indexed citations

Fahed, Akl C., Krishna G. Aragam, George Hindy, et al.. (2020). Transethnic Transferability of a Genome-Wide Polygenic Score for Coronary Artery Disease. Circulation Genomic and Precision Medicine. 14(1). e003092–e003092. 24 indexed citations

Link, Jenny C., Carrie B. Wiese, Xuqi Chen, et al.. (2020). X chromosome dosage of histone demethylase KDM5C determines sex differences in adiposity. Journal of Clinical Investigation. 130(11). 5688–5702. 69 indexed citations

Blanco, Estela, Mariaelisa Graff, Cecilia Albala, et al.. (2020). Genome‐wide association study identifying novel variant for fasting insulin and allelic heterogeneity in known glycemic loci in Chilean adolescents: The Santiago Longitudinal Study. Pediatric Obesity. 16(7). e12765–e12765. 3 indexed citations

Chang, Tien‐Jyun, Wen‐Chang Wang, Chao A. Hsiung, et al.. (2018). Genetic variation of SORBS1 gene is associated with glucose homeostasis and age at onset of diabetes: A SAPPHIRe Cohort Study. Scientific Reports. 8(1). 10574–10574. 23 indexed citations

10.

Adams, Elizabeth, Pauline Genter, Kevin Sandow, et al.. (2017). The GLP-1 response to glucose does not mediate beta and alpha cell dysfunction in Hispanics with abnormal glucose metabolism. Diabetes Research and Clinical Practice. 135. 185–191. 1 indexed citations

11.

Li, Dalin, Mark S. Silverberg, Talin Haritunians, et al.. (2016). TNFRSF1B Is Associated with ANCA in IBD. Inflammatory Bowel Diseases. 22(6). 1346–1352. 7 indexed citations

12.

Chuang, Shu‐Chun, Huiling Chen, Wei‐Ting Tseng, et al.. (2016). Circulating 25-hydroxyvitamin D and physical performance in older adults: a nationwide study in Taiwan. American Journal of Clinical Nutrition. 104(5). 1334–1344. 21 indexed citations

13.

Assimes, Themistocles L., I‐Te Lee, Jyh‐Ming Jimmy Juang, et al.. (2016). Genetics of Coronary Artery Disease in Taiwan: A Cardiometabochip Study by the Taichi Consortium. PLoS ONE. 11(3). e0138014–e0138014. 16 indexed citations

14.

Lee, I‐Te, Kae‐Woei Liang, Jun‐Sing Wang, et al.. (2015). Value of Chromosome 9p21 Polymorphism for Prediction of Cardiovascular Mortality in Han Chinese Without Coronary Lesions. Medicine. 94(39). e1538–e1538. 4 indexed citations

15.

Gao, Xiaoyi, W. James Gauderman, Paul Marjoram, et al.. (2014). Genetic variants associated with proliferative diabetic retinopathy in Latinos. Investigative Ophthalmology & Visual Science. 55(13). 2238–2238. 1 indexed citations

16.

Mehta, Puja K., Donna M. Polk, Xiao Zhang, et al.. (2014). A randomized controlled trial of acupuncture in stable ischemic heart disease patients. International Journal of Cardiology. 176(2). 367–374. 25 indexed citations

17.

Kuo, Jane Z., Xiuqing Guo, Ronald Klein, et al.. (2012). Systemic Soluble Tumor Necrosis Factor Receptors 1 and 2 Are Associated with Severity of Diabetic Retinopathy in Hispanics. Ophthalmology. 119(5). 1041–1046. 33 indexed citations

18.

Chang, Yi‐Cheng, Yen‐Feng Chiu, Larry L.-T. Ho, et al.. (2009). TCF7L2 genetic variants and progression to diabetes in the Chinese population: pleiotropic effects on insulin secretion and insulin resistance. Journal of Molecular Medicine. 88(2). 183–192. 16 indexed citations

19.

Abbasi, Fahim, Yii‐Der Ida Chen, Helke M.F. Farin, Cindy Lamendola, & Gerald M. Reaven. (2008). Comparison of Three Treatment Approaches to Decreasing Cardiovascular Disease Risk in Nondiabetic Insulin-Resistant Dyslipidemic Subjects. The American Journal of Cardiology. 102(1). 64–69. 30 indexed citations

20.

Wang, Pei-Wen, Fahim Abbasi, M. Carantoni, et al.. (1997). Insulin Resistance Does Not Change the Ratio of Proinsulin to Insulin in Normal Volunteers¹. The Journal of Clinical Endocrinology & Metabolism. 82(10). 3221–3224. 26 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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