Bryan Howie
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
- Co-authors
- Jonathan Marchini (6 shared papers)Peter Donnelly (2 shared papers)Matthew Stephens (2 shared papers)Gil McVean (1 shared paper)Simon Myers (1 shared paper)Christian Fuchsberger (1 shared paper)Gonçalo R. Abecasis (1 shared paper)Harlan Robins (6 shared papers)
- Journals
- Nature Genetics (2 papers)Clinical Cancer Research (1 paper)Molecular Biology and Evolution (1 paper)Human Genetics (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Bryan Howie
17 papers receiving 7.5k citations
Bryan Howie's Hit Papers
Peers
Comparison fields: 5 of 140
- Genetics 4.0k
- Immunology 767
- Molecular Biology 2.1k
- Cancer Research 421
- Oncology 618
Countries citing papers authored by Bryan Howie
This map shows the geographic impact of Bryan Howie'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 Bryan Howie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Howie more than expected).
Fields of papers citing papers by Bryan Howie
This network shows the impact of papers produced by Bryan Howie. 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 Bryan Howie. The network helps show where Bryan Howie may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Howie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies Hit paper breakdown → | 2009 | 2358 |
| 2 | A new multipoint method for genome-wide association studies by imputation of genotypes Hit paper breakdown → | 2007 | 1507 |
| 3 | Genotype imputation for genome-wide association studies Hit paper breakdown → | 2010 | 1007 |
| 4 | Fast and accurate genotype imputation in genome-wide association studies through pre-phasing Hit paper breakdown → | 2012 | 1006 |
| 5 | Genotype Imputation with Thousands of Genomes Hit paper breakdown → | 2011 | 569 |
| 6 | 2017 | 283 | |
| 7 | 2013 | 250 | |
| 8 | 2015 | 154 | |
| 9 | 2016 | 149 | |
| 10 | 2014 | 107 | |
| 11 | 2012 | 91 | |
| 12 | 1958 | 70 | |
| 13 | 2006 | 50 | |
| 14 | 2015 | 25 | |
| 15 | 2015 | 15 | |
| 16 | 2010 | 6 | |
| 17 | 2025 | 2 |
About Bryan Howie
Bryan Howie is a scholar working on Genetics, Oncology, Immunology, Molecular Biology and Infectious Diseases, having authored 17 papers that have together received 7.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), CAR-T cell therapy research (4 papers), Genomics and Rare Diseases (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Genetics (4.0k citations), Immunology (767 citations), Molecular Biology (2.1k citations), Cancer Research (421 citations) and Oncology (618 citations). Bryan Howie has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jonathan Marchini, Peter Donnelly, Matthew Stephens, Gil McVean, Simon Myers, Christian Fuchsberger, Gonçalo R. Abecasis, Harlan Robins, Olivier Delaneau and Anthony J. Cox. Their work appears in journals such as Nature Genetics, Clinical Cancer Research, Molecular Biology and Evolution, Human Genetics and Science.
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.