Angelo J. Canty
- Hematology top 2%
- Cancer Research top 10%
- Statistics and Probability top 5%
- Statistical Methods and Inference 3
- Statistical Methods and Bayesian Inference 2
- Oncology top 10%
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- Diabetes and associated disorders 7
- Genetic Syndromes and Imprinting 2
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- Pancreatic function and diabetes 7
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- Epigenetics and DNA Methylation 5
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- Diabetes Management and Research 3
- Diabetes Treatment and Management 3
- Co-authors
- Jayne S. DanskaMark D. MindenJoseph BeyeneChristian BuskeEric R. LechmanArmando G. PoepplKatsuto TakenakaKlaus H. Metzeler
- Journals
- Nature Medicine (1 paper)Journal of the American Statistical Association (1 paper)Blood (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Angelo J. Canty
27 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Hematology 434
- Cancer Research 212
- Statistics and Probability 108
- Immunology 207
- Oncology 263
Countries citing papers authored by Angelo J. Canty
This map shows the geographic impact of Angelo J. Canty'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 Angelo J. Canty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo J. Canty more than expected).
Fields of papers citing papers by Angelo J. Canty
This network shows the impact of papers produced by Angelo J. Canty. 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 Angelo J. Canty. The network helps show where Angelo J. Canty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Angelo J. Canty, 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 | 2021 | 8 | |
| 2 | 2020 | 33 | |
| 3 | 2018 | 3 | |
| 4 | 2018 | 3 | |
| 5 | 2018 | 23 | |
| 6 | 2018 | 6 | |
| 7 | 2016 | 1 | |
| 8 | 2016 | 7 | |
| 9 | 2014 | 48 | |
| 10 | 2012 | 44 | |
| 11 | Stem cell gene expression programs influence clinical outcome in human leukemiabreakdown → | 2011 | 740 |
| 12 | 2009 | 82 | |
| 13 | 2009 | 68 | |
| 14 | 2007 | 7 | |
| 15 | 2007 | 4 | |
| 16 | 2006 | 39 | |
| 17 | 2006 | 25 | |
| 18 | 2002 | 110 | |
| 19 | 1999 | 5 | |
| 20 | Reliable confidence intervals. Discussion of ``Bootstrap confidence intervals'', by T. J. DiCiccio and B. Efron | 1996 | 12 |
About Angelo J. Canty
Angelo J. Canty is a scholar working on Statistics and Probability, Genetics and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (7 papers), Epigenetics and DNA Methylation (5 papers), Statistical Methods and Inference (3 papers), Diabetes Management and Research (3 papers), Diabetes Treatment and Management (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Hematology (434 citations), Cancer Research (212 citations) and Statistics and Probability (108 citations). Angelo J. Canty has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jayne S. Danska, Mark D. Minden, Joseph Beyene, Christian Buske, Eric R. Lechman, Armando G. Poeppl, Katsuto Takenaka, Klaus H. Metzeler, Todd R. Golub and Björn Nilsson. Their work appears in journals such as Nature Medicine, Journal of the American Statistical Association and Blood.
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.