Kai Yu

21.2k total citations · 1 hit paper
143 papers, 4.8k citations indexed

About

Kai Yu is a scholar working on Genetics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Kai Yu has authored 143 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 35 papers in Statistics and Probability and 34 papers in Molecular Biology. Recurrent topics in Kai Yu's work include Genetic Associations and Epidemiology (39 papers), Statistical Methods in Clinical Trials (21 papers) and Genetic Mapping and Diversity in Plants and Animals (20 papers). Kai Yu is often cited by papers focused on Genetic Associations and Epidemiology (39 papers), Statistical Methods in Clinical Trials (21 papers) and Genetic Mapping and Diversity in Plants and Animals (20 papers). Kai Yu collaborates with scholars based in United States, China and Cameroon. Kai Yu's co-authors include Tonja R. Nansel, Qizhai Li, Keith E. Saylor, Bruce G. Simons‐Morton, Denise L. Haynie, Aria Davis Crump, Patricia Eitel, Rebecca M. Brotman, Jane R. Schwebke and Mark A. Klebanoff and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Kai Yu

134 papers receiving 4.6k citations

Hit Papers

Bullies, Victims, and Bully/Victims: 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Yu United States 34 1.0k 955 873 648 549 143 4.8k
Katja Fall Sweden 44 935 0.9× 484 0.5× 330 0.4× 197 0.3× 372 0.7× 179 6.1k
Matthew S. Mayo United States 55 1.6k 1.6× 834 0.9× 809 0.9× 162 0.3× 2.6k 4.7× 232 8.6k
Yinglin Xia United States 43 2.0k 2.0× 602 0.6× 512 0.6× 127 0.2× 564 1.0× 145 5.5k
Johannes Huber Germany 43 1.2k 1.2× 394 0.4× 1.2k 1.4× 401 0.6× 420 0.8× 302 7.2k
John Williamson United States 49 732 0.7× 1.1k 1.1× 271 0.3× 413 0.6× 969 1.8× 237 8.2k
Bin Yang China 33 699 0.7× 1.0k 1.1× 148 0.2× 152 0.2× 695 1.3× 266 4.1k
Paul K. Wallace United States 43 1.8k 1.8× 839 0.9× 176 0.2× 144 0.2× 380 0.7× 214 6.5k
Yun‐Mi Song South Korea 37 997 1.0× 1.1k 1.1× 341 0.4× 46 0.1× 780 1.4× 196 4.7k
Juni Palmgren Sweden 35 759 0.8× 506 0.5× 528 0.6× 74 0.1× 531 1.0× 87 7.6k

Countries citing papers authored by Kai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yu. A scholar is included among the top collaborators of Kai 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 Kai Yu. Kai Yu 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.
Yu, Kai, et al.. (2025). Research progress on densification behavior of component fabricated by Binder Jetting additive manufacturing. SHILAP Revista de lepidopterología. 1(4). 100073–100073. 1 indexed citations
2.
Qenawy, Mohamed, Yuchen Zhu, Jiameng Tian, et al.. (2025). Experimental investigation of novel pulse spray flash evaporation for efficient dynamic heat dissipation. International Journal of Heat and Mass Transfer. 256. 128131–128131.
3.
Koka, Hela, Yuan Tian, Kai Yu, et al.. (2024). Mammographic Density in Relation to Breast Cancer Risk Factors among Chinese Women. Cancer Epidemiology Biomarkers & Prevention. 34(2). 260–269.
4.
Fu, Sheng, William Wheeler, Xing Hua, et al.. (2024). A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations. PLoS Genetics. 20(10). e1011322–e1011322. 1 indexed citations
5.
Purdue, Mark P., Han Zhang, Jing Qin, et al.. (2023). Improve the model of disease subtype heterogeneity by leveraging external summary data. PLoS Computational Biology. 19(7). e1011236–e1011236. 1 indexed citations
6.
Deng, Lu, et al.. (2023). Bias and mean squared error in Mendelian randomization with invalid instrumental variables. Genetic Epidemiology. 48(1). 27–41.
7.
Brown, Derek W., Liam D. Cato, Yajie Zhao, et al.. (2023). Shared and distinct genetic etiologies for different types of clonal hematopoiesis. Nature Communications. 14(1). 5536–5536. 17 indexed citations
8.
Fu, Sheng, Lu Deng, Han Zhang, et al.. (2023). Integrative analysis of individual-level data and high-dimensional summary statistics. Bioinformatics. 39(4). 3 indexed citations
10.
Zhao, Bin, Lu Gan, Kai Yu, et al.. (2022). Relationship between chocolate consumption and overall and cause-specific mortality, systematic review and updated meta-analysis. European Journal of Epidemiology. 37(4). 321–333. 12 indexed citations
11.
Zhang, Han, Lu Deng, William Wheeler, Jing Qin, & Kai Yu. (2021). Integrative analysis of multiple case‐control studies. Biometrics. 78(3). 1080–1091. 3 indexed citations
12.
Deng, Lu, Han Zhang, & Kai Yu. (2020). Power calculation for the general two‐sample Mendelian randomization analysis. Genetic Epidemiology. 44(3). 290–299. 25 indexed citations
13.
Liu, Yukun, Pengfei Li, Lei Song, Kai Yu, & Jing Qin. (2020). Retrospective versus prospective score tests for genetic association with case‐control data. Biometrics. 77(1). 102–112. 1 indexed citations
14.
Zhang, Han, Jing Qin, Sonja I. Berndt, et al.. (2019). On Mendelian randomization analysis of case‐control study. Biometrics. 76(2). 380–391. 7 indexed citations
15.
Moy, Kristin A., Alison M. Mondul, Han Zhang, et al.. (2014). Genome-wide association study of circulating vitamin D–binding protein. American Journal of Clinical Nutrition. 99(6). 1424–1431. 42 indexed citations
16.
Major, Jacqueline M., Kai Yu, William Wheeler, et al.. (2011). Genome-wide association study identifies common variants associated with circulating vitamin E levels. Human Molecular Genetics. 20(19). 3876–3883. 115 indexed citations
17.
Koutros, Stella, Laura E. Beane Freeman, Sonja I. Berndt, et al.. (2010). Pesticide Use Modifies the Association Between Genetic Variants on Chromosome 8q24 and Prostate Cancer. Cancer Research. 70(22). 9224–9233. 37 indexed citations
18.
Li, Qizhai, Hong Zhang, & Kai Yu. (2010). Approaches for Evaluating Rare Polymorphisms in Genetic Association Studies. Human Heredity. 69(4). 219–228. 13 indexed citations
19.
Li, Qizhai, Gang Zheng, Zhaohai Li, & Kai Yu. (2008). Efficient Approximation of P‐value of the Maximum of Correlated Tests, with Applications to Genome‐Wide Association Studies. Annals of Human Genetics. 72(3). 397–406. 48 indexed citations
20.
Korn, Edward L., Kai Yu, & Langdon L. Miller. (1993). Stopping a clinical trial very early because of toxicity: Summarizing the evidence. Controlled Clinical Trials. 14(4). 286–295. 8 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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