George E. Bonney
- Genetics top 2%
- Molecular Biology
- Oncology top 10%
- Surgery
- Statistics and Probability top 2%
- Co-authors
- E. A. ThompsonJames F. ReynoldsJohn M. OpitzD. C. RaoHeping ZhangFlorence DémenaisGeorgia M. DunstonG.M. Lathrop
- Topics
- Genetic Mapping and Diversity in Plants and Animals (17 papers)Genetic Associations and Epidemiology (14 papers)Genetic and phenotypic traits in livestock (12 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
George E. Bonney
68 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 153
- Genetics 961
- Molecular Biology 517
- Oncology 268
- Surgery 206
- Statistics and Probability 205
Countries citing papers authored by George E. Bonney
This map shows the geographic impact of George E. Bonney'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 George E. Bonney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George E. Bonney more than expected).
Fields of papers citing papers by George E. Bonney
This network shows the impact of papers produced by George E. Bonney. 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 George E. Bonney. The network helps show where George E. Bonney may publish in the future.
Co-authorship network of co-authors of George E. Bonney
This figure shows the co-authorship network connecting the top 25 collaborators of George E. Bonney. A scholar is included among the top collaborators of George E. Bonney 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 George E. Bonney. George E. Bonney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 24 | |
| 5 | 33 | |
| 6 | 2 | |
| 7 | 116 | |
| 8 | 35 | |
| 9 | 11 | |
| 10 | Prostate-specific antigen levels in nipple aspirate fluid correlate with breast cancer risk. | 102 |
| 11 | 29 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 76 | |
| 15 | 2 | |
| 16 | Breast cancer risk factors in African-American women: the Howard University Tumor Registry experience. | 32 |
| 17 | 39 | |
| 18 | 2 | |
| 19 | 63 | |
| 20 | 6 |
About George E. Bonney
George E. Bonney is a scholar working on Genetics, Statistics and Probability and Oncology, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (17 papers), Genetic Associations and Epidemiology (14 papers) and Genetic and phenotypic traits in livestock (12 papers). The work is most often cited by research in Genetics (961 citations), Statistics and Probability (205 citations) and Oncology (268 citations). George E. Bonney has collaborated with scholars based in United States, France and Canada. Frequent co-authors include E. A. Thompson, James F. Reynolds, John M. Opitz, D. C. Rao, Heping Zhang, Florence Démenais, Georgia M. Dunston, G.M. Lathrop, Jean-Marc Lalouel and Robert C. Elston. Their work appears in journals such as Nature, Nature Genetics and Journal of the American Statistical Association.
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.