Ryan McCabe

1.0k total citations · 1 hit paper
34 papers, 707 citations indexed

About

Ryan McCabe is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Ryan McCabe has authored 34 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Economics and Econometrics. Recurrent topics in Ryan McCabe's work include Global Cancer Incidence and Screening (14 papers), Colorectal Cancer Screening and Detection (7 papers) and Cancer survivorship and care (7 papers). Ryan McCabe is often cited by papers focused on Global Cancer Incidence and Screening (14 papers), Colorectal Cancer Screening and Detection (7 papers) and Cancer survivorship and care (7 papers). Ryan McCabe collaborates with scholars based in United States, Canada and Netherlands. Ryan McCabe's co-authors include Bryan E. Palis, Lawrence N. Shulman, David P. Winchester, Amanda E. Browner, Katherine Mallin, Heidi Nelson, Matthew A. Facktor, Letícia Nogueira, Greer Gay and K. Robin Yabroff and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Ryan McCabe

33 papers receiving 694 citations

Hit Papers

Incident Cases Captured in the National Cancer Database C... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan McCabe United States 12 401 180 126 118 92 34 707
Laura H. Hendrix United States 15 313 0.8× 273 1.5× 149 1.2× 108 0.9× 92 1.0× 39 733
Jaclyn Beca Canada 15 284 0.7× 204 1.1× 251 2.0× 61 0.5× 83 0.9× 58 691
Noam A. VanderWalde United States 16 269 0.7× 242 1.3× 104 0.8× 247 2.1× 103 1.1× 48 822
Richard Simcock United Kingdom 12 298 0.7× 120 0.7× 86 0.7× 70 0.6× 67 0.7× 43 623
N. Pourel France 14 406 1.0× 352 2.0× 61 0.5× 126 1.1× 139 1.5× 41 860
Anne-Marie Meyer United States 17 331 0.8× 399 2.2× 192 1.5× 165 1.4× 106 1.2× 24 981
Joan Prades Spain 8 229 0.6× 103 0.6× 87 0.7× 68 0.6× 97 1.1× 21 458
Michelle C. Salazar United States 16 363 0.9× 483 2.7× 80 0.6× 154 1.3× 41 0.4× 38 829
Tzy-Mey Kuo United States 12 224 0.6× 366 2.0× 113 0.9× 123 1.0× 40 0.4× 16 676
Elizabeth Brown Australia 15 238 0.6× 248 1.4× 103 0.8× 129 1.1× 116 1.3× 48 1.1k

Countries citing papers authored by Ryan McCabe

Since Specialization
Citations

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

Fields of papers citing papers by Ryan McCabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan McCabe

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan McCabe. A scholar is included among the top collaborators of Ryan McCabe 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 Ryan McCabe. Ryan McCabe 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
1.
Boffa, Daniel J., Sharon S. Lum, Bryan E. Palis, et al.. (2024). Renovating the Commission on Cancer’s Quality Measure Portfolio. Annals of Surgery. 280(2). 193–198.
2.
Palis, Bryan E., Amanda E. Browner, Letícia Nogueira, et al.. (2024). The National Cancer Database Conforms to the Standardized Framework for Registry and Data Quality. Annals of Surgical Oncology. 31(9). 5546–5559. 18 indexed citations
3.
Stabeno, Phyllis J., Shaun W. Bell, Catherine L. Berchok, et al.. (2023). Long-Term Biophysical Observations and Climate Impacts in US Arctic Marine Ecosystems. Oceanography. 10 indexed citations
4.
Lum, Sharon S., Amanda E. Browner, Bryan E. Palis, et al.. (2023). Disruption of National Cancer Database Data Models in the First Year of the COVID-19 Pandemic. JAMA Surgery. 158(6). 643–643. 19 indexed citations
5.
Smith, Tenbroeck, Lonneke V. van de Poll‐Franse, Jeuneviette Bontemps-Jones, et al.. (2021). Oncology team perspectives on distress screening: a multisite study of a well-established use of patient-reported outcomes for clinical assessment. Supportive Care in Cancer. 30(2). 1261–1271. 7 indexed citations
6.
Brajcich, Brian C., Bryan E. Palis, Ryan McCabe, et al.. (2021). Twenty-Five Years of Cancer Follow-Up; Is the Data Worth the Effort?. Annals of Surgical Oncology. 29(2). 828–836. 2 indexed citations
7.
Patel, Sameer H., Chung-Yuan Hu, Nader N. Massarweh, et al.. (2020). Circumferential Resection Margin as a Hospital Quality Assessment Tool for Rectal Cancer Surgery. Journal of the American College of Surgeons. 230(6). 1008–1018e5. 10 indexed citations
8.
James, Ted A., Bryan E. Palis, Ryan McCabe, et al.. (2020). Evaluating the role of sentinel lymph node biopsy in patients with DCIS treated with breast conserving surgery. The American Journal of Surgery. 220(3). 654–659. 7 indexed citations
9.
Mallin, Katherine, Amanda E. Browner, Bryan E. Palis, et al.. (2019). Incident Cases Captured in the National Cancer Database Compared with Those in U.S. Population Based Central Cancer Registries in 2012–2014. Annals of Surgical Oncology. 26(6). 1604–1612. 294 indexed citations breakdown →
11.
McCabe, Ryan. (2019). National Cancer Database: The Past, Present, and Future of the Cancer Registry and Its Efforts to Improve the Quality of Cancer Care. Seminars in Radiation Oncology. 29(4). 323–325. 23 indexed citations
12.
Troeschel, Alyssa N., Tenbroeck Smith, Kathleen M. Castro, et al.. (2016). The development and acceptability of symptom management quality improvement reports based on patient-reported data: an overview of methods used in PROSSES. Quality of Life Research. 25(11). 2833–2843. 3 indexed citations
13.
Asare, Elliot A., Kenneth R. Hess, Elisa J. Gordon, et al.. (2015). Development of a model to predict breast cancer survival using data from the National Cancer Data Base. Surgery. 159(2). 495–502. 8 indexed citations
14.
McCabe, Ryan, et al.. (2015). Fatigue as a Driver of Overall Quality of Life in Cancer Patients. PLoS ONE. 10(6). e0130023–e0130023. 28 indexed citations
15.
McCabe, Ryan, et al.. (2015). The rationale for cancer patient reported outcomes surveillance and a reproducible method for achieving it. 1 indexed citations
16.
McCabe, Ryan, et al.. (2014). Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients?. PLoS ONE. 9(6). e99445–e99445. 12 indexed citations
17.
McCabe, Ryan, et al.. (2013). Using Information Gain to Generate Patient Risk Scores for Methicillin-resistant Staphylococcus aureus Colonization in an Oncology Setting.. AMIA. 1 indexed citations
18.
Carlone, Marco, et al.. (2013). ROC analysis in patient specific quality assurance. Medical Physics. 40(4). 42103–42103. 46 indexed citations
19.
Carlone, Marco, et al.. (2012). Poster — Thur Eve — 21: ROC analysis in patient specific quality assurance. Medical Physics. 39(7Part3). 4628–4628. 1 indexed citations
20.
Heise, Michael, et al.. (2011). Learning Management Systems Review. 5 indexed citations

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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