Rita M. Cantor

7.7k citations
66 papers · 2.7k indexed · h-index 31
Topics
Genetic Associations and Epidemiology (10 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)Peroxisome Proliferator-Activated Receptors (8 papers)

In The Last Decade

Rita M. Cantor

65 papers receiving 2.6k citations

Peers

Rita M. Cantor
Comparison fields: 5 of 132
  • Molecular Biology 868
  • Genetics 639
  • Surgery 430
  • Epidemiology 388
  • Endocrinology, Diabetes and Metabolism 310
Replace Agustı́n Ruiz with:
Agustı́n Ruiz Spain
John I. Numberger United States
Hideo Hamaguchi Japan
Tao Xie United States
B.K. Thelma India
Eric K. Moses Australia
Luigi Bouchard Canada
Josep M. Mercader Spain
Norman Klopp Germany
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Citations per field
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Citations per year

Countries citing papers authored by Rita M. Cantor

Since Specialization
Citations

This map shows the geographic impact of Rita M. Cantor'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 Rita M. Cantor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita M. Cantor more than expected).

Fields of papers citing papers by Rita M. Cantor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita M. Cantor. 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 Rita M. Cantor. The network helps show where Rita M. Cantor may publish in the future.

Co-authorship network of co-authors of Rita M. Cantor

This figure shows the co-authorship network connecting the top 25 collaborators of Rita M. Cantor. A scholar is included among the top collaborators of Rita M. Cantor 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 Rita M. Cantor. Rita M. Cantor 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 6
2 21
3 2
4 47
5 42
6 21
7 24
8 83
9 4
10 54
11 18
12 12
13 87
14 168
15 70
16 30
17 8
18 99
19 3
20
PCR-based screening for cystic fibrosis carrier mutations in an ethnically diverse pregnant population.
45

About Rita M. Cantor

Rita M. Cantor is a scholar working on Genetics, Biological Psychiatry and Endocrinology, Diabetes and Metabolism, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). The work is most often cited by research in Genetics (639 citations), Biological Psychiatry (55 citations) and Endocrinology, Diabetes and Metabolism (310 citations). Rita M. Cantor has collaborated with scholars based in United States, Netherlands and Finland. Frequent co-authors include Aldons J. Lusis, Jerome I. Rotter, Michael W. Quasney, Richard G. Wunderink, James T. McCracken, Susan L. Smalley, James J. McGough, Stanley F. Nelson, Tjerk W.A. de Bruin and Geesje M. Dallinga‐Thie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

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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