Trudy G. Shaw

38 total papers · 1.7k total citations
23 papers, 1.1k citations indexed

About

Trudy G. Shaw is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Trudy G. Shaw has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pathology and Forensic Medicine, 13 papers in Oncology and 8 papers in Genetics. Recurrent topics in Trudy G. Shaw's work include Genetic factors in colorectal cancer (19 papers), BRCA gene mutations in cancer (8 papers) and Cancer Genomics and Diagnostics (8 papers). Trudy G. Shaw is often cited by papers focused on Genetic factors in colorectal cancer (19 papers), BRCA gene mutations in cancer (8 papers) and Cancer Genomics and Diagnostics (8 papers). Trudy G. Shaw collaborates with scholars based in United States, Poland and Netherlands. Trudy G. Shaw's co-authors include Henry T. Lynch, Carrie Snyder, Megan P. Hitchins, Christopher D. Heinen, Jane F. Lynch, Nick M. Wisdom, Jennifer L. Callahan, Patrick M. Lynch, Riccardo Fodde and C. Richard Boland and has published in prestigious journals such as Journal of Clinical Oncology, Nature reviews. Cancer and Cancer.

In The Last Decade

Trudy G. Shaw

23 papers receiving 1.1k citations

Hit Papers

Milestones of Lynch syndr... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Trudy G. Shaw 747 540 401 231 212 23 1.1k
Kristen M. Shannon 565 0.8× 417 0.8× 314 0.8× 339 1.5× 764 3.6× 43 1.5k
Pauli Vaittinen 401 0.5× 454 0.8× 238 0.6× 234 1.0× 476 2.2× 28 1.3k
Catherine Walsh Vockley 793 1.1× 667 1.2× 494 1.2× 220 1.0× 546 2.6× 13 1.3k
Kara Semotiuk 348 0.5× 549 1.0× 380 0.9× 160 0.7× 238 1.1× 31 924
Theo A.M. van Os 409 0.5× 433 0.8× 236 0.6× 323 1.4× 325 1.5× 19 983
Lara E. Sucheston 242 0.3× 398 0.7× 181 0.5× 459 2.0× 253 1.2× 17 1.1k
T. P. Crotty 281 0.4× 309 0.6× 499 1.2× 173 0.7× 746 3.5× 18 1.3k
E. M. H. Mathus-Vliegen 736 1.0× 578 1.1× 167 0.4× 90 0.4× 121 0.6× 26 1.3k
Amie Blanco 529 0.7× 466 0.9× 334 0.8× 123 0.5× 425 2.0× 36 970
Furio Maggiorotto 321 0.4× 515 1.0× 531 1.3× 224 1.0× 199 0.9× 44 1.3k

Countries citing papers authored by Trudy G. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Trudy G. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trudy G. Shaw. 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 Trudy G. Shaw. The network helps show where Trudy G. Shaw may publish in the future.

Co-authorship network of co-authors of Trudy G. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Trudy G. Shaw. A scholar is included among the top collaborators of Trudy G. Shaw 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 Trudy G. Shaw. Trudy G. Shaw 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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