Angelo J. Canty

2.2k citations
28 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
Diabetes and associated disorders (7 papers)Pancreatic function and diabetes (7 papers)Epigenetics and DNA Methylation (5 papers)

In The Last Decade

Angelo J. Canty

27 papers receiving 1.4k citations

Hit Papers

Stem cell gene expression programs influence clinical out...20112026201620212011200400600

Peers

Angelo J. Canty
Comparison fields: 5 of 135
  • Molecular Biology 634
  • Hematology 434
  • Oncology 263
  • Cancer Research 212
  • Immunology 207
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Sangbum Choi United States
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Angelo J. Canty relative to Sangbum Choi United States Sangbum Choi's profile →
Citations per field
00.5×4.2×
Sangbum Choi · 1×
Citations per year

Countries citing papers authored by Angelo J. Canty

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Angelo J. Canty

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo J. Canty. A scholar is included among the top collaborators of Angelo J. Canty 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 Angelo J. Canty. Angelo J. Canty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 33
3 3
4 3
5 23
6 6
7 1
8 7
9 48
10 44
11
Stem cell gene expression programs influence clinical outcome in human leukemiabreakdown →
740
12 82
13 68
14 7
15 4
16 39
17 25
18 110
19 5
20
Reliable confidence intervals. Discussion of ``Bootstrap confidence intervals'', by T. J. DiCiccio and B. Efron
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) and Epigenetics and DNA Methylation (5 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.

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