Maureen Trudeau

19.0k total citations · 4 hit papers
259 papers, 12.8k citations indexed

About

Maureen Trudeau is a scholar working on Oncology, Cancer Research and Economics and Econometrics. According to data from OpenAlex, Maureen Trudeau has authored 259 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Oncology, 113 papers in Cancer Research and 48 papers in Economics and Econometrics. Recurrent topics in Maureen Trudeau's work include Breast Cancer Treatment Studies (107 papers), HER2/EGFR in Cancer Research (53 papers) and Cancer Treatment and Pharmacology (47 papers). Maureen Trudeau is often cited by papers focused on Breast Cancer Treatment Studies (107 papers), HER2/EGFR in Cancer Research (53 papers) and Cancer Treatment and Pharmacology (47 papers). Maureen Trudeau collaborates with scholars based in Canada, United States and United Kingdom. Maureen Trudeau's co-authors include Kathleen I. Pritchard, Wedad Hanna, Steven A. Narod, Rebecca Dent, Ping Sun, Ellen Rawlinson, Carol Sawka, L. Lickley, Pamela J. Goodwin and Marguerite Ennis and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Maureen Trudeau

249 papers receiving 12.5k citations

Hit Papers

Triple-Negative Breast Cancer: Clinical Features and Patt... 2002 2026 2010 2018 2007 2002 2019 2018 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maureen Trudeau Canada 52 7.4k 5.0k 3.1k 2.2k 1.5k 259 12.8k
Peter A. Fasching Germany 55 8.0k 1.1× 6.7k 1.4× 3.1k 1.0× 3.0k 1.4× 1.6k 1.0× 614 14.6k
Suzette Delaloge France 56 8.4k 1.1× 5.0k 1.0× 3.4k 1.1× 3.8k 1.7× 1.6k 1.0× 399 13.9k
Emile E. Voest Netherlands 70 8.5k 1.1× 4.9k 1.0× 7.3k 2.4× 3.1k 1.4× 1.0k 0.7× 370 18.8k
Joseph A. Sparano United States 64 10.4k 1.4× 5.3k 1.1× 3.7k 1.2× 2.7k 1.2× 946 0.6× 397 15.9k
Jungsil Ro South Korea 52 7.9k 1.1× 3.6k 0.7× 3.5k 1.1× 5.3k 2.4× 1.4k 0.9× 189 13.3k
Vera J. Suman United States 60 7.0k 0.9× 3.6k 0.7× 3.0k 1.0× 2.3k 1.0× 1.5k 0.9× 273 14.8k
Elsken van der Wall Netherlands 54 4.1k 0.6× 4.1k 0.8× 3.9k 1.3× 1.9k 0.9× 982 0.6× 240 11.1k
Angela DeMichele United States 64 7.5k 1.0× 2.8k 0.6× 2.6k 0.8× 4.7k 2.1× 1.0k 0.7× 308 13.1k
Dino Amadori Italy 60 6.7k 0.9× 4.3k 0.9× 4.5k 1.5× 3.1k 1.4× 999 0.6× 351 14.2k
Rebecca Dent Singapore 44 6.5k 0.9× 4.1k 0.8× 3.0k 1.0× 2.4k 1.1× 844 0.5× 186 10.2k

Countries citing papers authored by Maureen Trudeau

Since Specialization
Citations

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

Fields of papers citing papers by Maureen Trudeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maureen Trudeau

This figure shows the co-authorship network connecting the top 25 collaborators of Maureen Trudeau. A scholar is included among the top collaborators of Maureen Trudeau 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 Maureen Trudeau. Maureen Trudeau 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
2.
Freedman, Rachel A., Jennifer L. Caswell‐Jin, Michael J. Hassett, et al.. (2024). Optimal Adjuvant Chemotherapy and Targeted Therapy for Early Breast Cancer—Cyclin-Dependent Kinase 4 and 6 Inhibitors: ASCO Guideline Rapid Recommendation Update. Journal of Clinical Oncology. 42(18). 2233–2235. 18 indexed citations
4.
Dasgupta, Archya, Maureen Trudeau, Sonal Gandhi, et al.. (2024). Apriori prediction of chemotherapy response in locally advanced breast cancer patients using CT imaging and deep learning: transformer versus transfer learning. Frontiers in Oncology. 14. 1359148–1359148. 4 indexed citations
6.
Meng, Ying, Raymond M. Reilly, Rossanna C. Pezo, et al.. (2021). MR-guided focused ultrasound enhances delivery of trastuzumab to Her2-positive brain metastases. Science Translational Medicine. 13(615). eabj4011–eabj4011. 139 indexed citations
8.
Denduluri, Neelima, Mark R. Somerfield, Mariana Chávez‐MacGregor, et al.. (2020). Selection of Optimal Adjuvant Chemotherapy and Targeted Therapy for Early Breast Cancer: ASCO Guideline Update. Journal of Clinical Oncology. 39(6). 685–693. 76 indexed citations
9.
Sadeghi‐Naini, Ali, Lakshmanan Sannachi, Hadi Tadayyon, et al.. (2017). Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities. Scientific Reports. 7(1). 10352–10352. 42 indexed citations
10.
Gong, Inna Y., Sunil Verma, Andrew T. Yan, et al.. (2016). Long-term cardiovascular outcomes and overall survival of early-stage breast cancer patients with early discontinuation of trastuzumab: a population-based study. Breast Cancer Research and Treatment. 157(3). 535–544. 22 indexed citations
11.
Levine, Mark N., Jim A. Julian, Philippe L. Bédard, et al.. (2015). Prospective Evaluation of the 21-Gene Recurrence Score Assay for Breast Cancer Decision-Making in Ontario. Journal of Clinical Oncology. 34(10). 1065–1071. 60 indexed citations
12.
Mittmann, Nicole, Ning Liu, Joan Porter, et al.. (2014). End-of-life home care utilization and costs in patients with advanced colorectal cancer. The Journal of Community and Supportive Oncology. 12(3). 92–98. 6 indexed citations
13.
Chafe, Roger, Anthony J. Culyer, Mark Dobrow, et al.. (2011). Access to Cancer Drugs in Canada: Looking Beyond Coverage Decisions. Healthcare policy. 6(3). 27–35. 29 indexed citations
14.
Mittmann, Nicole, et al.. (2010). Cost Effectiveness of tac versus fac in Adjuvant Treatment of Node-Positive Breast Cancer. Current Oncology. 17(1). 7–16. 24 indexed citations
15.
Nofech‐Mozes, Sharon, Maureen Trudeau, Rebecca Dent, et al.. (2009). Patterns of recurrence in the basal and non-basal subtypes of triple-negative breast cancers. Breast Cancer Research and Treatment. 118(1). 131–137. 84 indexed citations
16.
Madarnas, Yolanda, Maureen Trudeau, Jacob Franek, et al.. (2008). Adjuvant/neoadjuvant trastuzumab therapy in women with HER-2/neu-overexpressing breast cancer: A systematic review. Cancer Treatment Reviews. 34(6). 539–557. 58 indexed citations
17.
Kotsopoulos, Joanne, William Zhang, Shiyu Zhang, et al.. (2008). Polymorphisms in folate metabolizing enzymes and transport proteins and the risk of breast cancer. Breast Cancer Research and Treatment. 112(3). 585–593. 52 indexed citations
18.
Eisen, Andrea, Maureen Trudeau, Wendy Shelley, Hans Messersmith, & Kathleen I. Pritchard. (2008). Aromatase inhibitors in adjuvant therapy for hormone receptor positive breast cancer: A systematic review. Cancer Treatment Reviews. 34(2). 157–174. 65 indexed citations
19.
Goodwin, Pamela J., Marguerite Ennis, Kathleen I. Pritchard, et al.. (2002). Fasting Insulin and Outcome in Early-Stage Breast Cancer: Results of a Prospective Cohort Study. Journal of Clinical Oncology. 20(1). 42–51. 518 indexed citations breakdown →
20.
Hanna, Wedad, et al.. (1999). Evaluation of HER-2/neu (erbB-2) status in breast cancer: from bench to bedside.. PubMed. 12(8). 827–34. 72 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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