Rita M. Cantor

112 total papers · 7.7k total citations
66 papers, 2.7k citations indexed

About

Rita M. Cantor is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Rita M. Cantor has authored 66 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 26 papers in Molecular Biology and 14 papers in Surgery. Recurrent topics in Rita M. Cantor's 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). Rita M. Cantor is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). Rita M. Cantor collaborates with scholars based in United States, Netherlands and Finland. Rita M. Cantor's co-authors include Aldons J. Lusis, Jerome I. Rotter, Michael W. Quasney, Richard G. Wunderink, James T. McCracken, Stanley F. Nelson, James J. McGough, Susan L. Smalley, Tjerk W.A. de Bruin and Geesje M. Dallinga‐Thie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Rita M. Cantor

65 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rita M. Cantor 863 639 429 389 309 66 2.7k
Verena Zuber 769 0.9× 1.0k 1.6× 340 0.8× 383 1.0× 276 0.9× 75 2.8k
Brendan J. Keating 907 1.1× 821 1.3× 397 0.9× 239 0.6× 182 0.6× 101 2.8k
Tasha E. Fingerlin 854 1.0× 740 1.2× 309 0.7× 434 1.1× 302 1.0× 118 3.9k
Thomas F. Wienker 1.9k 2.2× 754 1.2× 645 1.5× 238 0.6× 279 0.9× 79 4.1k
Donald A. Young 1.5k 1.7× 671 1.1× 690 1.6× 320 0.8× 334 1.1× 74 3.9k
Matt J. Neville 908 1.1× 375 0.6× 269 0.6× 585 1.5× 224 0.7× 59 2.8k
Santiago Rodrı́guez 866 1.0× 792 1.2× 179 0.4× 470 1.2× 255 0.8× 88 3.1k
Tao Xie 1.3k 1.5× 739 1.2× 312 0.7× 142 0.4× 291 0.9× 102 3.4k
Laura J. Dixon 840 1.0× 298 0.5× 277 0.6× 1.1k 2.8× 304 1.0× 69 3.5k
Mohammad R. Toliat 1.1k 1.3× 358 0.6× 290 0.7× 452 1.2× 131 0.4× 70 2.6k

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

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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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