James R Staley
- Genetics top 1%
- Molecular Biology top 10%
- Epidemiology top 5%
- Physiology top 5%
- Rheumatology top 5%
- Co-authors
- Stephen BurgessAdam S. ButterworthPraveen SurendranRobin YoungJohn DaneshJames BlackshawMihir KamatJoanna M. M. Howson
- Topics
- Genetic Associations and Epidemiology (9 papers)Bioinformatics and Genomic Networks (4 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
James R Staley
17 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Genetics 1.5k
- Molecular Biology 902
- Epidemiology 482
- Physiology 426
- Rheumatology 347
Countries citing papers authored by James R Staley
This map shows the geographic impact of James R Staley'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 James R Staley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R Staley more than expected).
Fields of papers citing papers by James R Staley
This network shows the impact of papers produced by James R Staley. 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 James R Staley. The network helps show where James R Staley may publish in the future.
Co-authorship network of co-authors of James R Staley
This figure shows the co-authorship network connecting the top 25 collaborators of James R Staley. A scholar is included among the top collaborators of James R Staley 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 James R Staley. James R Staley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 24 | |
| 3 | A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traitsbreakdown → | 212 |
| 4 | 8 | |
| 5 | ADHD genetic liability and physical health outcomes - A two-sample Mendelian randomization study | 2 |
| 6 | 16 | |
| 7 | A robust and efficient method for Mendelian randomization with hundreds of genetic variantsbreakdown → | 364 |
| 8 | 31 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 121 | |
| 12 | PhenoScanner V2: an expanded tool for searching human genotype–phenotype associationsbreakdown → | 1269 |
| 13 | 7 | |
| 14 | 34 | |
| 15 | 177 | |
| 16 | PhenoScanner: a database of human genotype–phenotype associationsbreakdown → | 883 |
| 17 | 73 |
About James R Staley
James R Staley is a scholar working on Genetics, Statistics and Probability and Biochemistry, having authored 17 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Genetics (1.5k citations), Rheumatology (347 citations) and Endocrinology, Diabetes and Metabolism (286 citations). James R Staley has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Stephen Burgess, Adam S. Butterworth, Praveen Surendran, Robin Young, John Danesh, James Blackshaw, Mihir Kamat, Joanna M. M. Howson, Benjamin B. Sun and Christopher N. Foley. Their work appears in journals such as Nature Communications, Bioinformatics and American Journal of Epidemiology.
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.