Dan-Yu Lin

2.3k total citations
18 papers, 694 citations indexed

About

Dan-Yu Lin is a scholar working on Genetics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Dan-Yu Lin has authored 18 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Statistics and Probability and 4 papers in Molecular Biology. Recurrent topics in Dan-Yu Lin's work include Genetic Associations and Epidemiology (9 papers), Genomics and Rare Diseases (5 papers) and Statistical Methods and Inference (5 papers). Dan-Yu Lin is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Genomics and Rare Diseases (5 papers) and Statistical Methods and Inference (5 papers). Dan-Yu Lin collaborates with scholars based in United States, United Kingdom and Japan. Dan-Yu Lin's co-authors include Zheng-Zheng Tang, Patrick F. Sullivan, Donglin Zeng, Ran Tao, Ichiro Nakashima, Philippe Cabre, Daniel Whittam, Fei Gao, Masoud Majed and Shahd Hamid and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of the American Statistical Association.

In The Last Decade

Dan-Yu Lin

18 papers receiving 685 citations

Peers

Countries citing papers authored by Dan-Yu Lin

Since Specialization

Citations

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

Fields of papers citing papers by Dan-Yu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan-Yu Lin. 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 Dan-Yu Lin. The network helps show where Dan-Yu Lin may publish in the future.

Co-authorship network of co-authors of Dan-Yu Lin

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Evaluating the Efficacy of Therapies in Patients With Coronavirus Disease 2019 2020 ·Clinical Infectious Diseases ·Dan-Yu Lin, Donglin Zeng, Joseph J. Eron	2
2	Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders 2019 ·Brain ·Jacqueline Palace, Dan-Yu Lin, Donglin Zeng, Masoud Majed, Liene Elsone, Shahd Hamid, Silvia Messina, Tatsuro Misu, Jessica Sagen, Daniel Whittam, Yoshiki Takai, Maria Isabel Leite, Brian G. Weinshenker, Philippe Cabre, Anu Jacob, Ichiro Nakashima, Kazuo Fujihara, Sean J. Pittock	139
3	Transitions from Ideal to Intermediate Cholesterol Levels may vary by Cholesterol Metric 2018 ·Scientific Reports ·(unknown), Katelyn M. Holliday, Shakia T. Hardy, Sujatro Chakladar, Dan-Yu Lin, Gregory A. Talavera, Barbara V. Howard, Martha L. Daviglus, Amber Pirzada, Pamela J. Schreiner, Donglin Zeng, Christy L. Avery	2
4	The association between copy number aberration, DNA methylation and gene expression in tumor samples 2018 ·Nucleic Acids Research ·Wei Sun, Paul A. Bunn, Chong Jin, (unknown), Vasyl Zhabotynsky, Charles M. Perou, D. Neil Hayes, Mengjie Chen, Dan-Yu Lin	47
5	PreMeta: a tool to facilitate meta-analysis of rare-variant associations 2017 ·BMC Genomics ·Zheng-Zheng Tang, Paul A. Bunn, Ran Tao, Zhouwen Liu, Dan-Yu Lin	2
6	Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies 2017 ·Journal of the American Statistical Association ·Ran Tao, Donglin Zeng, Dan-Yu Lin	23
7	Semiparametric Regression Analysis of Interval-Censored Competing Risks Data 2017 ·Biometrics ·Lu Mao, Dan-Yu Lin, Donglin Zeng	14
8	Semiparametric Estimation of the Accelerated Failure Time Model with Partly Interval-Censored Data 2017 ·Biometrics ·Fei Gao, Donglin Zeng, Dan-Yu Lin	24
9	On Confidence Intervals for the Hazard Ratio in Randomized Clinical Trials 2016 ·Biometrics ·Dan-Yu Lin, (unknown), Gang Cheng, (unknown)	14
10	Simultaneous Inference on Treatment Effects in Survival Studies with Factorial Designs 2016 ·Biometrics ·Dan-Yu Lin, Jianjian Gong, Paul Gallo, (unknown), David Couper	5
11	Meta-analysis for Discovering Rare-Variant Associations: Statistical Methods and Software Programs 2015 ·The American Journal of Human Genetics ·Zheng-Zheng Tang, Dan-Yu Lin	26
12	Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling 2015 ·Journal of the American Statistical Association ·Ran Tao, Donglin Zeng, Nora Franceschini, Kari E. North, Eric Boerwinkle, Dan-Yu Lin	8
13	Integrative analysis of sequencing and array genotype data for discovering disease associations with rare mutations 2015 ·Proceedings of the National Academy of Sciences ·(unknown), Yun Li, Paul L. Auer, Dan-Yu Lin	11
14	Genetic Association Analysis under Complex Survey Sampling: The Hispanic Community Health Study/Study of Latinos 2014 ·The American Journal of Human Genetics ·Dan-Yu Lin, Ran Tao, William D. Kalsbeek, Donglin Zeng, Franklyn Gonzalez, Lindsay Fernández‐Rhodes, Mariaelisa Graff, Gary G. Koch, Kari E. North, Gerardo Heiss	34
15	Meta-Analysis of Sequencing Studies With Heterogeneous Genetic Associations 2014 ·Genetic Epidemiology ·Zheng-Zheng Tang, Dan-Yu Lin	22
16	MASS: meta-analysis of score statistics for sequencing studies 2013 ·Bioinformatics ·Zheng-Zheng Tang, Dan-Yu Lin	28
17	A General Framework for Detecting Disease Associations with Rare Variants in Sequencing Studies 2011 ·The American Journal of Human Genetics ·Dan-Yu Lin, Zheng-Zheng Tang	202
18	Meta-Analysis of Genome-wide Association Studies with Overlapping Subjects 2009 ·The American Journal of Human Genetics ·Dan-Yu Lin, Patrick F. Sullivan	91

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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