Mary Beattie

125 total papers · 6.0k total citations
68 papers, 2.8k citations indexed

About

Mary Beattie is a scholar working on Genetics, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mary Beattie has authored 68 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 20 papers in Oncology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mary Beattie's work include BRCA gene mutations in cancer (19 papers), Teacher Education and Leadership Studies (11 papers) and Cancer Genomics and Diagnostics (10 papers). Mary Beattie is often cited by papers focused on BRCA gene mutations in cancer (19 papers), Teacher Education and Leadership Studies (11 papers) and Cancer Genomics and Diagnostics (10 papers). Mary Beattie collaborates with scholars based in United States, Canada and United Kingdom. Mary Beattie's co-authors include Christopher J. Sweeney, Charles Swanton, Howard A. Burris, John D. Hainsworth, Herbert I. Hurwitz, Ron Bose, David R. Spigel, Funda Meric‐Bernstam, Razelle Kurzrock and James M. Ford and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mary Beattie

66 papers receiving 2.7k citations

Hit Papers

Pertuzumab plus trastuzum... 2018 2026 2020 2023 2019 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Mary Beattie 999 948 530 410 405 68 2.8k
Susan K. Peterson 1.1k 1.1× 1.7k 1.8× 559 1.1× 730 1.8× 202 0.5× 177 3.8k
Jean Jenkins 674 0.7× 1.6k 1.7× 221 0.4× 436 1.1× 200 0.5× 97 3.8k
Linda Bradley 402 0.4× 1.1k 1.1× 379 0.7× 222 0.5× 334 0.8× 88 3.4k
Karen A. Johnson 1.3k 1.3× 586 0.6× 687 1.3× 857 2.1× 285 0.7× 112 4.1k
Jacqueline W. Miller 1.4k 1.4× 258 0.3× 211 0.4× 409 1.0× 221 0.5× 86 3.8k
Huiyan Ma 1.7k 1.7× 554 0.6× 699 1.3× 294 0.7× 530 1.3× 79 2.8k
Robin L. Bennett 478 0.5× 2.3k 2.4× 505 1.0× 633 1.5× 302 0.7× 78 4.2k
Shine Chang 1.2k 1.2× 337 0.4× 699 1.3× 448 1.1× 334 0.8× 123 3.6k
Siegal Sadetzki 581 0.6× 391 0.4× 418 0.8× 247 0.6× 552 1.4× 95 3.9k
R Sainsbury 1.2k 1.3× 607 0.6× 1.1k 2.0× 341 0.8× 484 1.2× 112 3.7k

Countries citing papers authored by Mary Beattie

Since Specialization
Citations

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

Fields of papers citing papers by Mary Beattie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Beattie. 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 Mary Beattie. The network helps show where Mary Beattie may publish in the future.

Co-authorship network of co-authors of Mary Beattie

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Beattie. A scholar is included among the top collaborators of Mary Beattie 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 Mary Beattie. Mary Beattie 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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