Kai Fun Yu
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
Papers in
-
- Statistical Methods in Clinical Trials 21
- Statistical Methods and Inference 19
- Genetics 66
- Genetic Associations and Epidemiology 59
- Genetic Mapping and Diversity in Plants and Animals 20
- Genetic and phenotypic traits in livestock 17
- Co-authors
- Tonja R. Nansel (4 shared papers)Qizhai Li (19 shared papers)Denise L. Haynie (3 shared papers)Bruce G. Simons‐Morton (3 shared papers)Keith E. Saylor (3 shared papers)Aria Davis Crump (3 shared papers)Patricia Eitel (3 shared papers)Rebecca M. Brotman (3 shared papers)
- Journals
- Genetic Epidemiology (13 papers)Nature Genetics (12 papers)Cancer Epidemiology Biomarkers & Prevention (12 papers)PLoS ONE (11 papers)Nature Communications (8 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Kai Fun Yu
210 papers receiving 16.8k citations
Kai Fun Yu's Hit Papers
Peers
Comparison fields: 5 of 198
- Genetics 4.6k
- Cancer Research 2.0k
- Pathology and Forensic Medicine 2.3k
- Microbiology 561
- Oncology 2.2k
Countries citing papers authored by Kai Fun Yu
This map shows the geographic impact of Kai Fun 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 Fun 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 Fun Yu more than expected).
Fields of papers citing papers by Kai Fun Yu
This network shows the impact of papers produced by Kai Fun 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 Fun Yu. The network helps show where Kai Fun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Fun 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 217 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer Hit paper breakdown → | 2007 | 1250 |
| 2 | Genome-wide association study of prostate cancer identifies a second risk locus at 8q24 Hit paper breakdown → | 2007 | 955 |
| 3 | Multiple loci identified in a genome-wide association study of prostate cancer Hit paper breakdown → | 2008 | 775 |
| 4 | Bullies, Victims, and Bully/Victims: Hit paper breakdown → | 2001 | 704 |
| 5 | Genome-wide association study of circulating vitamin D levels Hit paper breakdown → | 2010 | 673 |
| 6 | Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer Hit paper breakdown → | 2009 | 583 |
| 7 | 2010 | 513 | |
| 8 | 2012 | 479 | |
| 9 | 2009 | 458 | |
| 10 | 2009 | 445 | |
| 11 | 2010 | 436 | |
| 12 | 2011 | 423 | |
| 13 | 2014 | 365 | |
| 14 | 2010 | 345 | |
| 15 | 2009 | 283 | |
| 16 | 2014 | 274 | |
| 17 | 2009 | 234 | |
| 18 | 2017 | 227 | |
| 19 | 2014 | 219 | |
| 20 | 2010 | 219 |
About Kai Fun Yu
Kai Fun Yu is a scholar working on Statistics and Probability, Genetics, Pathology and Forensic Medicine, Molecular Biology and Oncology, having authored 217 papers that have together received 17.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (59 papers), Vitamin D Research Studies (21 papers), Statistical Methods in Clinical Trials (21 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), Epigenetics and DNA Methylation (20 papers), Statistical Methods and Inference (19 papers), Genetic and phenotypic traits in livestock (17 papers) and Cervical Cancer and HPV Research (12 papers). The work is most often cited by research in Genetics (4.6k citations), Cancer Research (2.0k citations), Pathology and Forensic Medicine (2.3k citations), Microbiology (561 citations) and Oncology (2.2k citations). Kai Fun Yu has collaborated with scholars based in United States, China and France. Frequent co-authors include Tonja R. Nansel, Qizhai Li, Denise L. Haynie, Bruce G. Simons‐Morton, Keith E. Saylor, Aria Davis Crump, Patricia Eitel, Rebecca M. Brotman, William W. Andrews and Jane R. Schwebke. Their work appears in journals such as Genetic Epidemiology, Nature Genetics, Cancer Epidemiology Biomarkers & Prevention, PLoS ONE and Nature Communications.
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.