F Yates
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Methods in Clinical Trials
- Survey Sampling and Estimation Techniques
Papers in
-
- Pluripotent Stem Cells Research 14
- CRISPR and Genetic Engineering 8
- Renal and related cancers 6
-
- Census and Population Estimation 6
- Co-authors
- H. O. Hartley (1 shared paper)Sir Ronald A. Fisher (1 shared paper)P. M. Grundy (1 shared paper)Ronald Aylmer Fisher (7 shared papers)George Q. Daley (6 shared papers)Olaia Naveiras (3 shared papers)Charles Proctor (1 shared paper)Yuan Wang (2 shared papers)
- Journals
- The Journal of Agricultural Science (19 papers)Biometrics (7 papers)Blood (5 papers)Biometrika (4 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
F Yates
98 papers receiving 2.9k citations
F Yates's Hit Papers
Peers
Comparison fields: 5 of 214
- Statistics and Probability 678
- Statistics, Probability and Uncertainty 175
- Management Science and Operations Research 270
- Cell Biology 180
- Genetics 285
Countries citing papers authored by F Yates
This map shows the geographic impact of F Yates'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 F Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Yates more than expected).
Fields of papers citing papers by F Yates
This network shows the impact of papers produced by F Yates. 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 F Yates. The network helps show where F Yates may publish in the future.
Co-authors
The 25 scholars most cited alongside F Yates, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Statistical Tables for Biological, Agricultural and Medical Research Hit paper breakdown → | 1956 | 503 |
| 2 | Design and Analysis of Factorial Experiments | 1958 | 309 |
| 3 | 1953 | 289 | |
| 4 | 1984 | 255 | |
| 5 | 2005 | 166 | |
| 6 | 1990 | 158 | |
| 7 | 1951 | 103 | |
| 8 | 2012 | 95 | |
| 9 | 2009 | 92 | |
| 10 | 1964 | 83 | |
| 11 | 1982 | 80 | |
| 12 | 1963 | 78 | |
| 13 | 1953 | 78 | |
| 14 | 2018 | 73 | |
| 15 | 2002 | 65 | |
| 16 | 1974 | 59 | |
| 17 | 2005 | 56 | |
| 18 | 1954 | 56 | |
| 19 | 1961 | 49 | |
| 20 | 2019 | 48 |
About F Yates
F Yates is a scholar working on Molecular Biology, Statistics and Probability, Genetics, Oncology and Artificial Intelligence, having authored 112 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (8 papers), Renal and related cancers (6 papers), Census and Population Estimation (6 papers), Virus-based gene therapy research (4 papers), Animal Genetics and Reproduction (4 papers), CAR-T cell therapy research (4 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Statistics and Probability (678 citations), Statistics, Probability and Uncertainty (175 citations), Management Science and Operations Research (270 citations), Cell Biology (180 citations) and Genetics (285 citations). F Yates has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include H. O. Hartley, Sir Ronald A. Fisher, P. M. Grundy, Ronald Aylmer Fisher, George Q. Daley, Olaia Naveiras, Charles Proctor, Yuan Wang, Patricia Ernst and J Urquhart. Their work appears in journals such as The Journal of Agricultural Science, Biometrics, Blood, Biometrika and Scientific Reports.
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.