K.-Y. Liang

3.0k total citations
30 papers, 2.2k citations indexed

About

K.-Y. Liang is a scholar working on Genetics, Statistics and Probability and Clinical Psychology. According to data from OpenAlex, K.-Y. Liang has authored 30 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 6 papers in Statistics and Probability and 5 papers in Clinical Psychology. Recurrent topics in K.-Y. Liang's work include Statistical Methods and Inference (4 papers), Cleft Lip and Palate Research (3 papers) and Statistical Methods and Bayesian Inference (3 papers). K.-Y. Liang is often cited by papers focused on Statistical Methods and Inference (4 papers), Cleft Lip and Palate Research (3 papers) and Statistical Methods and Bayesian Inference (3 papers). K.-Y. Liang collaborates with scholars based in United States, China and Norway. K.-Y. Liang's co-authors include Scott L. Zeger, Peter J. Diggle, Bahjat F. Qaqish, Terri H. Beaty, Gerald Nestadt, Mark A. Riddle, Jack Samuels, Lucy A. Mead, O. Joseph Bienvenu and Marco A. Grados and has published in prestigious journals such as Neurology, American Journal of Epidemiology and American Journal of Public Health.

In The Last Decade

K.-Y. Liang

28 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.-Y. Liang United States 24 465 335 294 250 240 30 2.2k
Nancy R. Mendell United States 33 350 0.8× 469 1.4× 235 0.8× 184 0.7× 393 1.6× 104 3.1k
François Curtin Switzerland 32 366 0.8× 185 0.6× 86 0.3× 272 1.1× 489 2.0× 65 4.6k
Jane Holmes United Kingdom 19 215 0.5× 143 0.4× 184 0.6× 545 2.2× 110 0.5× 39 2.0k
Elizabeth L. Ogburn United States 23 786 1.7× 334 1.0× 243 0.8× 42 0.2× 190 0.8× 46 4.3k
George P. Vogler United States 35 253 0.5× 1.5k 4.5× 121 0.4× 277 1.1× 802 3.3× 161 4.2k
B Harvald Denmark 32 180 0.4× 770 2.3× 176 0.6× 208 0.8× 501 2.1× 108 4.0k
Juan R. González Spain 36 300 0.6× 940 2.8× 211 0.7× 133 0.5× 1.2k 4.9× 149 4.6k
Weihua Cao China 29 98 0.2× 405 1.2× 227 0.8× 673 2.7× 819 3.4× 157 3.7k
C J MacLean United States 27 589 1.3× 1.3k 4.0× 59 0.2× 230 0.9× 664 2.8× 60 3.9k
Thomas W. O’Gorman United States 18 422 0.9× 70 0.2× 176 0.6× 108 0.4× 83 0.3× 58 1.6k

Countries citing papers authored by K.-Y. Liang

Since Specialization
Citations

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

Fields of papers citing papers by K.-Y. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-Y. Liang. 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 K.-Y. Liang. The network helps show where K.-Y. Liang may publish in the future.

Co-authorship network of co-authors of K.-Y. Liang

This figure shows the co-authorship network connecting the top 25 collaborators of K.-Y. Liang. A scholar is included among the top collaborators of K.-Y. Liang 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 K.-Y. Liang. K.-Y. Liang 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
3.
Zhong, Qinghua, et al.. (2024). Metabolomic profiling of human feces and plasma from extrauterine growth restriction infants. Pediatric Research. 97(6). 2097–2105.
4.
Liang, K.-Y., et al.. (2024). Almost Sure Central Limit Theorem for Error Variance Estimator in Pth-Order Nonlinear Autoregressive Processes. Mathematics. 12(10). 1482–1482. 1 indexed citations
5.
Bienvenu, O. Joseph, Jack Samuels, Lisa A. Wuyek, et al.. (2011). Is obsessive–compulsive disorder an anxiety disorder, and what, if any, are spectrum conditions? A family study perspective. Psychological Medicine. 42(1). 1–13. 160 indexed citations
6.
Rebok, George W., Daniel E. Ford, A. Chu, et al.. (2010). Alcohol Consumption and Domain-Specific Cognitive Function in Older Adults: Longitudinal Data From the Johns Hopkins Precursors Study. The Journals of Gerontology Series B. 66B(1). 39–47. 28 indexed citations
7.
Liang, K.-Y., et al.. (2010). On the asymptotic behaviour of the pseudolikelihood ratio test statistic with boundary problems. Biometrika. 97(3). 603–620. 32 indexed citations
8.
Shugart, Yin Yao, Y. Wang, Jack Samuels, et al.. (2009). A family‐based association study of the glutamate transporter gene SLC1A1 in obsessive–compulsive disorder in 378 families. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 150B(6). 886–892. 87 indexed citations
9.
McGrath, John A., Gerald Nestadt, K.-Y. Liang, et al.. (2004). Five Latent Factors Underlying Schizophrenia: Analysis and Relationship to Illnesses in Relatives. Schizophrenia Bulletin. 30(4). 855–873. 29 indexed citations
10.
McGrath, John A., Mary H. Thornquist, Paula Wolyniec, et al.. (2002). Genetic heterogeneity in schizophrenia II: conditional analyses of affected schizophrenia sibling pairs provide evidence for an interaction between markers on chromosome 8p and 14q. Molecular Psychiatry. 7(6). 658–664. 36 indexed citations
11.
Beaty, Terri H., Jacqueline B. Hetmanski, Yu Fan, et al.. (2001). A Case-Control Study of Nonsyndromic Oral Clefts in Maryland. Annals of Epidemiology. 11(6). 434–442. 97 indexed citations
12.
Beaty, Terri H., Jacqueline B. Hetmanski, Joanna S. Zeiger, et al.. (2001). Testing candidate genes for non‐syndromic oral clefts using a case‐parent trio design. Genetic Epidemiology. 22(1). 1–11. 85 indexed citations
13.
Nestadt, Gerald, Jack Samuels, Mark A. Riddle, et al.. (2001). The relationship between obsessive–compulsive disorder and anxiety and affective disorders: results from the Johns Hopkins OCD Family Study. Psychological Medicine. 31(3). 481–487. 187 indexed citations
14.
Baker, S P, et al.. (1999). Back injury in municipal workers: a case-control study.. American Journal of Public Health. 89(7). 1036–1041. 45 indexed citations
15.
Lyketsos, Constantine G., Elizabeth Garrett, K.-Y. Liang, & James C. Anthony. (1999). Cannabis Use and Cognitive Decline in Persons under 65 Years of Age. American Journal of Epidemiology. 149(9). 794–800. 73 indexed citations
16.
Beaty, Terri H., Rolv Skjærven, Daniel R. Breazeale, & K.-Y. Liang. (1997). Analyzing sibship correlations in birth weight using large sibships from Norway. Genetic Epidemiology. 14(4). 423–433. 31 indexed citations
17.
Goldstein, Harvey, Peter J. Diggle, K.-Y. Liang, & Scott L. Zeger. (1995). Analysis of Longitudinal Data.. Journal of the Royal Statistical Society Series A (Statistics in Society). 158(2). 345–345. 120 indexed citations
18.
Beaty, Terri H., et al.. (1993). Familial Aggregation of Periodontal Indices. Journal of Dental Research. 72(2). 544–551. 18 indexed citations
19.
Paul, S. R., K.-Y. Liang, & Steven G. Self. (1989). On Testing Departure from the Binomial and Multinomial Assumptions. Biometrics. 45(1). 231–231. 35 indexed citations
20.
Matthews, Karen A., David S. Krantz, Ulf Lundberg, et al.. (1989). Cardiovascular reactivity to the cold pressor test as a predictor of hypertension.. Hypertension. 14(5). 524–530. 280 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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