Kai Yu

21.2k citations
143 papers · 4.8k indexed · 1 hit paper · h-index 34
Topics
Genetic Associations and Epidemiology (39 papers)Statistical Methods in Clinical Trials (21 papers)Genetic Mapping and Diversity in Plants and Animals (20 papers)

In The Last Decade

Kai Yu

134 papers receiving 4.6k citations

Hit Papers

Bullies, Victims, and Bully/Victims:20012026200920172001200400600

Peers

Kai Yu
Comparison fields: 5 of 181
  • Molecular Biology 1.0k
  • Epidemiology 955
  • Genetics 873
  • Social Psychology 648
  • Physiology 549
Replace Matthew S. Mayo with:
Matthew S. Mayo United States
John Williamson United States
Joanna IntHout Netherlands
Katja Fall Sweden
Juni Palmgren Sweden
Chung‐Cheng Hsieh United States
Gerhard A. Zielhuis Netherlands
Yinglin Xia United States
Sanjay Shete United States
Richard Stephens United Kingdom
Kai Yu relative to Matthew S. Mayo United States Matthew S. Mayo's profile →
Citations per field
00.5×
Matthew S. Mayo · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 1
6 0
7 17
8 3
9 2
10 12
11 3
12 25
13 1
14 7
15 42
16 115
17 37
18 13
19 48
20 8

About Kai Yu

Kai Yu is a scholar working on Statistics and Probability, Genetics and Statistics, Probability and Uncertainty, having authored 143 papers that have together received 4.8k indexed citations. Recurring topics across this 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). The work is most often cited by research in Microbiology (531 citations), Statistics and Probability (323 citations) and Social Psychology (648 citations). Kai Yu has collaborated with scholars based in United States, China and Cameroon. Frequent 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. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

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

Rankless by CCL
2026