Mei‐Cheng Wang

8.8k total citations · 1 hit paper
134 papers, 6.0k citations indexed

About

Mei‐Cheng Wang is a scholar working on Statistics and Probability, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Mei‐Cheng Wang has authored 134 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Statistics and Probability, 32 papers in Psychiatry and Mental health and 25 papers in Physiology. Recurrent topics in Mei‐Cheng Wang's work include Statistical Methods and Inference (48 papers), Statistical Methods and Bayesian Inference (35 papers) and Dementia and Cognitive Impairment Research (31 papers). Mei‐Cheng Wang is often cited by papers focused on Statistical Methods and Inference (48 papers), Statistical Methods and Bayesian Inference (35 papers) and Dementia and Cognitive Impairment Research (31 papers). Mei‐Cheng Wang collaborates with scholars based in United States, Taiwan and China. Mei‐Cheng Wang's co-authors include Nicholas P. Jewell, Marilyn Albert, Chiung‐Yu Huang, Anja Soldan, Corinne Pettigrew, Abhay Moghekar, Abimereki D. Muzaale, Dorry L. Segev, Wei‐Yann Tsai and J.L. Wainright and has published in prestigious journals such as JAMA, Journal of the American Statistical Association and Annals of Internal Medicine.

In The Last Decade

Mei‐Cheng Wang

125 papers receiving 5.9k 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.

Risk of End-Stage Renal Disease Following Live Kidney Donation

2014 611 citations Mei‐Cheng Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mei‐Cheng Wang United States	41	1.6k	1.1k	1.1k	746	567	134	6.0k
Daniel Commenges France	45	1.3k 0.8×	1.9k 1.7×	672 0.6×	1.1k 1.5×	177 0.3×	174	7.5k
Lisa M. LaVange United States	37	807 0.5×	683 0.6×	1.2k 1.1×	1.1k 1.4×	881 1.6×	86	7.5k
Lloyd D. Fisher United States	35	1.5k 0.9×	495 0.5×	503 0.5×	469 0.6×	385 0.7×	93	8.0k
Rumana Omar United Kingdom	43	701 0.4×	852 0.8×	801 0.8×	314 0.4×	658 1.2×	126	6.9k
Haiqun Lin United States	54	463 0.3×	765 0.7×	1.2k 1.2×	388 0.5×	775 1.4×	177	7.2k
Sebastien Haneuse United States	42	663 0.4×	597 0.5×	501 0.5×	899 1.2×	590 1.0×	224	6.3k
Katherine J. Lee Australia	58	723 0.4×	1.1k 1.0×	933 0.9×	240 0.3×	2.6k 4.6×	286	10.3k
Robert Temple United States	32	674 0.4×	467 0.4×	605 0.6×	629 0.8×	584 1.0×	78	6.9k
Florin Vaida United States	39	565 0.3×	328 0.3×	474 0.4×	455 0.6×	466 0.8×	218	6.3k
Huiman X. Barnhart United States	53	494 0.3×	625 0.6×	1.1k 1.0×	601 0.8×	672 1.2×	203	12.0k

Countries citing papers authored by Mei‐Cheng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Mei‐Cheng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Cheng Wang. 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 Mei‐Cheng Wang. The network helps show where Mei‐Cheng Wang may publish in the future.

Co-authorship network of co-authors of Mei‐Cheng Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hong, Xiumei, Avi Z. Rosenberg, Jurgen Heymann, et al.. (2023). Joint Associations of Pregnancy Complications and Postpartum Maternal Renal Biomarkers With Severe Cardiovascular Morbidities: A US Racially and Ethnically Diverse Prospective Birth Cohort Study. Journal of the American Heart Association. 12(22). e029311–e029311.

Greenberg, Barry, Corinne Pettigrew, Anja Soldan, et al.. (2022). CSF Alzheimer Disease Biomarkers. Neurology. 99(15). e1640–e1650. 19 indexed citations

Pettigrew, Corinne, Anja Soldan, Yuxin Zhu, et al.. (2021). Computerized paired associate learning performance and imaging biomarkers in older adults without dementia. Brain Imaging and Behavior. 16(2). 921–929. 6 indexed citations

Pettigrew, Corinne, Anja Soldan, Jiangxia Wang, et al.. (2020). Association of midlife vascular risk and AD biomarkers with subsequent cognitive decline. Neurology. 95(23). e3093–e3103. 34 indexed citations

Ning, Jing, Chunyan Cai, Yong Chen, Xuelin Huang, & Mei‐Cheng Wang. (2020). Semiparametric modelling and estimation of covariate‐adjusted dependence between bivariate recurrent events. Biometrics. 76(4). 1229–1239. 3 indexed citations

Sun, Yifei, Sy Han Chiou, & Mei‐Cheng Wang. (2019). ROC‐guided survival trees and ensembles. Biometrics. 76(4). 1177–1189. 6 indexed citations

Soldan, Anja, Corinne Pettigrew, Yuxin Zhu, et al.. (2019). White matter hyperintensities and CSF Alzheimer disease biomarkers in preclinical Alzheimer disease. Neurology. 94(9). e950–e960. 60 indexed citations

Pettigrew, Corinne, Anja Soldan, Yuxin Zhu, et al.. (2019). Cognitive reserve and rate of change in Alzheimer's and cerebrovascular disease biomarkers among cognitively normal individuals. Neurobiology of Aging. 88. 33–41. 25 indexed citations

Wang, Mei‐Cheng, et al.. (2017). Joint Modeling of Longitudinal, Recurrent Events and Failure Time Data for Survivor's Population. Biometrics. 73(4). 1150–1160. 6 indexed citations

10.

Shinohara, Russell T., Yifei Sun, & Mei‐Cheng Wang. (2017). Alternating event processes during lifetimes: population dynamics and statistical inference. Lifetime Data Analysis. 24(1). 110–125. 2 indexed citations

11.

Chan, Kwun Chuen Gary & Mei‐Cheng Wang. (2016). Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events. Journal of the American Statistical Association. 112(517). 351–362. 7 indexed citations

12.

Zhu, Hong & Mei‐Cheng Wang. (2015). A Semi-stationary Copula Model Approach for Bivariate Survival Data with Interval Sampling. The International Journal of Biostatistics. 11(1). 151–173. 7 indexed citations

13.

Resnick, Susan M., Murat Bilgel, Abhay Moghekar, et al.. (2015). Changes in Aβ biomarkers and associations with APOE genotype in 2 longitudinal cohorts. Neurobiology of Aging. 36(8). 2333–2339. 59 indexed citations

14.

Ouyang, Fengxiu, Matthew P. Longnecker, Scott A. Venners, et al.. (2014). Preconception serum 1,1,1-trichloro-2,2,bis(p-chlorophenyl)ethane and B-vitamin status: independent and joint effects on women’s reproductive outcomes. American Journal of Clinical Nutrition. 100(6). 1470–1478. 14 indexed citations

15.

Wang, Mei‐Cheng & Shanshan Li. (2012). Bivariate Marker Measurements and ROC Analysis. Biometrics. 68(4). 1207–1218. 6 indexed citations

16.

Kong, Xiangrong, Ronald H. Gray, Lawrence H. Moulton, Maria J. Wawer, & Mei‐Cheng Wang. (2010). A modeling framework for the analysis of HPV incidence and persistence: A semi‐parametric approach for clustered binary longitudinal data analysis. Statistics in Medicine. 29(28). 2880–2889. 9 indexed citations

17.

Sorock, Gary S., Patricia A. Quigley, Jennifer Taylor, et al.. (2009). Central Nervous System Medication Changes and Falls in Nursing Home Residents. Geriatric Nursing. 30(5). 334–340. 17 indexed citations

18.

Bazzaro, Martina, Zhenhua Lin, Antonio Santillan, et al.. (2008). Ubiquitin Proteasome System Stress Underlies Synergistic Killing of Ovarian Cancer Cells by Bortezomib and a Novel HDAC6 Inhibitor. Clinical Cancer Research. 14(22). 7340–7347. 107 indexed citations

19.

Huang, Chiung‐Yu, Mei‐Cheng Wang, & Ying Zhang. (2006). Analysing panel count data with informative observation times. Biometrika. 93(4). 763–775. 63 indexed citations

20.

Qin, Jing & Mei‐Cheng Wang. (2001). Semiparametric Analysis of Truncated Data. Lifetime Data Analysis. 7(3). 225–242. 12 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.

Explore authors with similar magnitude of impact