Jung‐Ying Tzeng

2.7k total citations
52 papers, 791 citations indexed

About

Jung‐Ying Tzeng is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jung‐Ying Tzeng has authored 52 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Genetics, 32 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Jung‐Ying Tzeng's work include Genetic Associations and Epidemiology (35 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Gene expression and cancer classification (19 papers). Jung‐Ying Tzeng is often cited by papers focused on Genetic Associations and Epidemiology (35 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Gene expression and cancer classification (19 papers). Jung‐Ying Tzeng collaborates with scholars based in United States, Taiwan and Sweden. Jung‐Ying Tzeng's co-authors include Daowen Zhang, Bernie Devlin, Kathryn Roeder, Larry Wasserman, Chuhsing Kate Hsiao, Chih‐Hao Wang, Monnat Pongpanich, Jau‐Tsuen Kao, Yiwen Luo and Arnab Maity and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Jung‐Ying Tzeng

51 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung‐Ying Tzeng United States 13 506 336 107 38 38 52 791
Cassandra E. Murcray United States 6 382 0.8× 225 0.7× 28 0.3× 26 0.7× 31 0.8× 7 531
Zhangchen Zhao China 14 259 0.5× 152 0.5× 74 0.7× 13 0.3× 5 0.1× 25 661
Sheila A. Rodwell United Kingdom 12 134 0.3× 146 0.4× 13 0.1× 23 0.6× 11 0.3× 15 603
Faisal I. Rezwan United Kingdom 20 174 0.3× 442 1.3× 156 1.5× 196 5.2× 6 0.2× 43 945
Karen Schwander United States 13 226 0.4× 131 0.4× 15 0.1× 14 0.4× 6 0.2× 31 461
Ruofei Du United States 13 100 0.2× 156 0.5× 42 0.4× 19 0.5× 12 0.3× 31 510
Alba Fernández‐Sanlés Spain 13 93 0.2× 321 1.0× 51 0.5× 20 0.5× 3 0.1× 22 537
Tingting Wu China 14 224 0.4× 292 0.9× 10 0.1× 31 0.8× 4 0.1× 59 766
Nastasiya F. Grinberg United Kingdom 7 217 0.4× 144 0.4× 10 0.1× 23 0.6× 5 0.1× 11 469
Nam Pho United States 5 95 0.2× 215 0.6× 34 0.3× 9 0.2× 3 0.1× 6 418

Countries citing papers authored by Jung‐Ying Tzeng

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Ying Tzeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Ying Tzeng. 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 Jung‐Ying Tzeng. The network helps show where Jung‐Ying Tzeng may publish in the future.

Co-authorship network of co-authors of Jung‐Ying Tzeng

This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Ying Tzeng. A scholar is included among the top collaborators of Jung‐Ying Tzeng 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 Jung‐Ying Tzeng. Jung‐Ying Tzeng 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.
Ho, Pei‐Chuan, Hui Wang, Wan‐Ping Lee, et al.. (2023). The prediction of Alzheimer’s disease through multi-trait genetic modeling. Frontiers in Aging Neuroscience. 15. 1168638–1168638. 3 indexed citations
2.
Jeng, X. Jessie, et al.. (2023). Transfer learning with false negative control improves polygenic risk prediction. PLoS Genetics. 19(11). e1010597–e1010597. 2 indexed citations
3.
Lu, Tzu‐Pin, et al.. (2021). An Integrative Co-localization (INCO) Analysis for SNV and CNV Genomic Features With an Application to Taiwan Biobank Data. Frontiers in Genetics. 12. 709555–709555. 2 indexed citations
4.
Chang, Sheng‐Mao, Meng Yang, Wenbin Lu, et al.. (2021). Gene-set integrative analysis of multi-omics data using tensor-based association test. Bioinformatics. 37(16). 2259–2265. 4 indexed citations
5.
Jeng, X. Jessie, et al.. (2020). FastLORS: Joint modelling for expression quantitative trait loci mapping in R. Stat. 9(1). 1 indexed citations
6.
Jeng, X. Jessie, et al.. (2020). Effective SNP ranking improves the performance of eQTL mapping. Genetic Epidemiology. 44(6). 611–619. 1 indexed citations
7.
Maity, Arnab, et al.. (2020). Robust kernel association testing (RobKAT). Genetic Epidemiology. 44(3). 272–282. 2 indexed citations
8.
West, Rachel Marceau, Wenbin Lu, Daniel M. Rotroff, et al.. (2019). Identifying individual risk rare variants using protein structure guided local tests (POINT). PLoS Computational Biology. 15(2). e1006722–e1006722. 8 indexed citations
9.
Chang, Sheng‐Mao, Jung‐Ying Tzeng, Kuo-Wei Yeh, et al.. (2019). Reference equations for spirometry in healthy Asian children aged 5 to 18 years in Taiwan. World Allergy Organization Journal. 12(11). 100074–100074. 26 indexed citations
10.
Green, Adrian J., Cathrine Hoyo, Carolyn Mattingly, et al.. (2018). Cadmium exposure increases the risk of juvenile obesity: a human and zebrafish comparative study. International Journal of Obesity. 42(7). 1285–1295. 55 indexed citations
11.
Davenport, Clemontina A., Arnab Maity, Patrick F. Sullivan, & Jung‐Ying Tzeng. (2017). A Powerful Test for SNP Effects on Multivariate Binary Outcomes Using Kernel Machine Regression. Statistics in Biosciences. 10(1). 117–138. 6 indexed citations
12.
Jeng, X. Jessie, Z. John Daye, Wenbin Lu, & Jung‐Ying Tzeng. (2016). Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level. PLoS Computational Biology. 12(6). e1004993–e1004993. 10 indexed citations
13.
Zhang, Guosheng, Kuan‐Chieh Huang, Zheng Xu, et al.. (2016). Across‐Platform Imputation of DNA Methylation Levels Incorporating Nonlocal Information Using Penalized Functional Regression. Genetic Epidemiology. 40(4). 333–340. 8 indexed citations
14.
Hung, Hung, et al.. (2015). Detection of Gene–Gene Interactions Using Multistage Sparse and Low-Rank Regression. Biometrics. 72(1). 85–94. 9 indexed citations
15.
Wang, Zhi, Arnab Maity, Yiwen Luo, Megan L. Neely, & Jung‐Ying Tzeng. (2014). Complete Effect‐Profile Assessment in Association Studies With Multiple Genetic and Multiple Environmental Factors. Genetic Epidemiology. 39(2). 122–133. 8 indexed citations
16.
Tzeng, Jung‐Ying, Wenbin Lu, Mark W. Farmen, Youfang Liu, & Patrick F. Sullivan. (2010). Haplotype-Based Pharmacogenetic Analysis for Longitudinal Quantitative Traits in the Presence of Dropout. Journal of Biopharmaceutical Statistics. 20(2). 334–350. 2 indexed citations
17.
Bondell, Howard D., et al.. (2010). Evaluating haplotype effects in case‐control studies via penalized‐likelihood approaches: prospective or retrospective analysis?. Genetic Epidemiology. 34(8). 892–911. 3 indexed citations
18.
Tzeng, Jung‐Ying, Daowen Zhang, Sheng‐Mao Chang, Duncan C. Thomas, & Marie Davidian. (2009). Gene‐Trait Similarity Regression for Multimarker‐Based Association Analysis. Biometrics. 65(3). 822–832. 35 indexed citations
19.
Tzeng, Jung‐Ying & Daowen Zhang. (2007). Haplotype-Based Association Analysis via Variance-Components Score Test. The American Journal of Human Genetics. 81(5). 927–938. 62 indexed citations
20.
Wen, Shu‐Hui, Jung‐Ying Tzeng, Jau‐Tsuen Kao, & Chuhsing Kate Hsiao. (2006). A two-stage design for multiple testing in large-scale association studies. Journal of Human Genetics. 51(6). 523–532. 5 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

Breakdown of academic impact, for papers by Cassandra E. Murcray Breakdown of academic impact, for papers by Zhangchen Zhao Breakdown of academic impact, for papers by Sheila A. Rodwell Breakdown of academic impact, for papers by Faisal I. Rezwan Breakdown of academic impact, for papers by Karen Schwander Breakdown of academic impact, for papers by Ruofei Du Breakdown of academic impact, for papers by Alba Fernández‐Sanlés Breakdown of academic impact, for papers by Tingting Wu Breakdown of academic impact, for papers by Nastasiya F. Grinberg Breakdown of academic impact, for papers by Nam Pho
Rankless by CCL
2026