Ching‐Ray Yu

592 total citations
17 papers, 395 citations indexed

About

Ching‐Ray Yu is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ching‐Ray Yu has authored 17 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ching‐Ray Yu's work include Estrogen and related hormone effects (4 papers), Menopause: Health Impacts and Treatments (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Ching‐Ray Yu is often cited by papers focused on Estrogen and related hormone effects (4 papers), Menopause: Health Impacts and Treatments (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Ching‐Ray Yu collaborates with scholars based in United States, Sweden and United Kingdom. Ching‐Ray Yu's co-authors include Peter W. Park, Robert West, Jon O. Ebbert, John R. Hughes, Thomas McRae, Cristina Russ, Michael P. Dutro, Stephen I. Rennard, Martin Carlsson and Kelly H. Zou and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ching‐Ray Yu

16 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ching‐Ray Yu United States	8	176	150	47	46	46	17	395
Zhengyang Zhou United States	15	260 1.5×	59 0.4×	20 0.4×	29 0.6×	55 1.2×	67	689
Ahmed Hassoun United Arab Emirates	17	141 0.8×	238 1.6×	65 1.4×	29 0.6×	11 0.2×	41	821
Alaaeldin Bashier United Arab Emirates	15	62 0.4×	221 1.5×	12 0.3×	17 0.4×	27 0.6×	50	451
Mari‐Liis Tammesoo Estonia	4	200 1.1×	82 0.5×	28 0.6×	75 1.6×	10 0.2×	4	547
Wambui G. Gathirua‐Mwangi United States	13	95 0.5×	211 1.4×	186 4.0×	92 2.0×	10 0.2×	24	607
Abdul Basit Pakistan	15	119 0.7×	158 1.1×	11 0.2×	76 1.7×	10 0.2×	38	792
Mingxu Wang China	12	87 0.5×	32 0.2×	32 0.7×	53 1.2×	9 0.2×	32	407
David Moeny United States	7	122 0.7×	59 0.4×	23 0.5×	31 0.7×	11 0.2×	13	420
Shucheng Si China	14	76 0.4×	53 0.4×	25 0.5×	47 1.0×	4 0.1×	30	401
Sanni Ruotsalainen Finland	12	149 0.8×	126 0.8×	23 0.5×	81 1.8×	5 0.1×	26	765

Countries citing papers authored by Ching‐Ray Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ching‐Ray Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Ray Yu. 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 Ching‐Ray Yu. The network helps show where Ching‐Ray Yu may publish in the future.

Co-authorship network of co-authors of Ching‐Ray Yu

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

All Works

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17 of 17 papers shown

Andemariam, Biree, Henny H. Billett, William B. Ershler, et al.. (2023). Real-World Experience of Individuals with Sickle Cell Disease Treated with Voxelotor: Initial Report from the Multicenter, Prospective Prospect Study. Blood. 142(Supplement 1). 2499–2499. 2 indexed citations

Weerahandi, Samaradasa & Ching‐Ray Yu. (2020). Exact distributions of statistics for making inferences on mixed models under the default covariance structure. SHILAP Revista de lepidopterología. 7(1). 6 indexed citations

Damy, Thibaud, Arnt V. Kristen, Ole B. Suhr, et al.. (2019). Transthyretin cardiac amyloidosis in continental Western Europe: an insight through the Transthyretin Amyloidosis Outcomes Survey (THAOS). European Heart Journal. 43(5). 391–400. 111 indexed citations

Wallace, Taylor C., et al.. (2019). Multivitamin/Multimineral Supplement Use is Associated with Increased Micronutrient Intakes and Biomarkers and Decreased Prevalence of Inadequacies and Deficiencies in Middle-Aged and Older Adults in the United States. Journal of Nutrition in Gerontology and Geriatrics. 38(4). 307–328. 27 indexed citations

Delnomdedieu, Marielle, Anton Forsberg, Adam Ogden, et al.. (2017). In vivo measurement of PDE10A enzyme occupancy by positron emission tomography (PET) following single oral dose administration of PF-02545920 in healthy male subjects. Neuropharmacology. 117. 171–181. 22 indexed citations

Nakamura, Masakazu, et al.. (2017). Efficacy of Varenicline for Cigarette Reduction Before Quitting in Japanese Smokers: A Subpopulation Analysis of the Reduce to Quit Trial. Clinical Therapeutics. 39(4). 863–872. 7 indexed citations

Yu, Ching‐Ray, et al.. (2017). Efficacy and safety of bazedoxifene in postmenopausal Latino women with osteoporosis. Menopause The Journal of The North American Menopause Society. 24(9). 1033–1039. 4 indexed citations

Archer, David F., Ellen W. Freeman, Barry S. Komm, et al.. (2016). Pooled Analysis of the Effects of Conjugated Estrogens/Bazedoxifene on Vasomotor Symptoms in the Selective Estrogens, Menopause, and Response to Therapy Trials. Journal of Women s Health. 25(11). 1102–1111. 5 indexed citations

Kagan, Risa, et al.. (2016). Timing and persistence of effect of conjugated estrogens/bazedoxifene in postmenopausal women. Menopause The Journal of The North American Menopause Society. 23(11). 1204–1213. 5 indexed citations

10.

Pinkerton, JoAnn V., James H. Pickar, Kelly A. Ryan, et al.. (2016). Conjugated estrogens and bazedoxifene in minority populations: pooled analysis of four phase 3 trials. Menopause The Journal of The North American Menopause Society. 23(6). 611–620.

11.

Messig, Michael, Ching‐Ray Yu, Annlouise R. Assaf, et al.. (2015). The effect of conjugated estrogens/bazedoxifene therapy on body weight of postmenopausal women. Menopause The Journal of The North American Menopause Society. 23(4). 376–382. 9 indexed citations

12.

Ebbert, Jon O., John R. Hughes, Robert West, et al.. (2015). Effect of Varenicline on Smoking Cessation Through Smoking Reduction. JAMA. 313(7). 687–687. 142 indexed citations

13.

Carlsson, Martin, Kelly H. Zou, Ching‐Ray Yu, Kezhen Liu, & Franklin Sun. (2014). A comparison of nonparametric and parametric methods to adjust for baseline measures. Contemporary Clinical Trials. 37(2). 225–233. 5 indexed citations

14.

Yu, Ching‐Ray, Kelly H. Zou, Martin Carlsson, & Samaradasa Weerahandi. (2014). Generalized Estimation of the BLUP in Mixed-Effects Models: A Comparison with ML and REML. Communications in Statistics - Simulation and Computation. 44(3). 694–704. 7 indexed citations

15.

Zou, Kelly H., Ching‐Ray Yu, Kezhen Liu, Martin Carlsson, & Javier Cabrera. (2013). Optimal Thresholds by Maximizing or Minimizing Various Metrics via ROC-Type Analysis. Academic Radiology. 20(7). 807–815. 38 indexed citations

16.

Zou, Kelly H., Martin Carlsson, & Ching‐Ray Yu. (2012). Comparison of adjustment methods for stratified two‐sample tests in the context ofROCanalysis. Biometrical Journal. 54(2). 249–263. 4 indexed citations

17.

Yu, Ching‐Ray. (2008). Data analysis for microarray experiment and DNA barcode of life. Rutgers University Community Repository (Rutgers University). 1 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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