Kai Yu
Impact in
- Microbiology top 0.5%
- Reproductive tract infections research
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
Papers in
- Genetics 39
- Genetic Associations and Epidemiology 37
- Genetic Mapping and Diversity in Plants and Animals 19
- Genetic and phenotypic traits in livestock 13
-
- Statistical Methods in Clinical Trials 21
- Statistical Methods and Inference 17
- Statistical Methods and Bayesian Inference 11
- Co-authors
- Tonja R. Nansel (4 shared papers)Qizhai Li (19 shared papers)Keith E. Saylor (3 shared papers)Bruce G. Simons‐Morton (3 shared papers)Denise L. Haynie (3 shared papers)Patricia Eitel (3 shared papers)Aria Davis Crump (3 shared papers)William W. Andrews (3 shared papers)
- Journals
- Genetic Epidemiology (12 papers)PLoS ONE (8 papers)Biometrics (6 papers)Cancer Epidemiology Biomarkers & Prevention (5 papers)Annals of Human Genetics (5 papers)
- Partner nations
- United StatesChinaCameroon
In The Last Decade
Kai Yu
135 papers receiving 4.7k citations
Kai Yu's Hit Papers
Peers
Comparison fields: 5 of 182
- Microbiology 464
- Statistics and Probability 316
- Social Psychology 626
- Genetics 773
- Pathology and Forensic Medicine 453
Countries citing papers authored by Kai Yu
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
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-authors
The 25 scholars most cited alongside Kai Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bullies, Victims, and Bully/Victims: Hit paper breakdown → | 2001 | 671 |
| 2 | 2010 | 320 | |
| 3 | 2009 | 213 | |
| 4 | 2010 | 195 | |
| 5 | 2016 | 148 | |
| 6 | 1999 | 144 | |
| 7 | 2008 | 144 | |
| 8 | 2008 | 128 | |
| 9 | 2011 | 119 | |
| 10 | 2018 | 114 | |
| 11 | 2010 | 111 | |
| 12 | 2007 | 108 | |
| 13 | 2009 | 99 | |
| 14 | 2007 | 98 | |
| 15 | 2007 | 97 | |
| 16 | 2010 | 96 | |
| 17 | 2011 | 83 | |
| 18 | 2010 | 83 | |
| 19 | 2011 | 71 | |
| 20 | 2009 | 65 |
About Kai Yu
Kai Yu is a scholar working on Genetics, Statistics and Probability, Molecular Biology, Pathology and Forensic Medicine and Epidemiology, having authored 144 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (37 papers), Statistical Methods in Clinical Trials (21 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers), Statistical Methods and Inference (17 papers), Genetic and phenotypic traits in livestock (13 papers), Vitamin D Research Studies (12 papers), Statistical Methods and Bayesian Inference (11 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Microbiology (464 citations), Statistics and Probability (316 citations), Social Psychology (626 citations), Genetics (773 citations) and Pathology and Forensic Medicine (453 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, Patricia Eitel, Aria Davis Crump, William W. Andrews, Jane R. Schwebke and Mark A. Klebanoff. Their work appears in journals such as Genetic Epidemiology, PLoS ONE, Biometrics, Cancer Epidemiology Biomarkers & Prevention and Annals of Human Genetics.
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.