Caroline Diorio

4.4k total citations · 1 hit paper
115 papers, 3.1k citations indexed

About

Caroline Diorio is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Caroline Diorio has authored 115 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Oncology, 34 papers in Cancer Research and 32 papers in Molecular Biology. Recurrent topics in Caroline Diorio's work include Cancer Risks and Factors (36 papers), Breast Cancer Treatment Studies (18 papers) and HER2/EGFR in Cancer Research (15 papers). Caroline Diorio is often cited by papers focused on Cancer Risks and Factors (36 papers), Breast Cancer Treatment Studies (18 papers) and HER2/EGFR in Cancer Research (15 papers). Caroline Diorio collaborates with scholars based in Canada, United States and France. Caroline Diorio's co-authors include Francine Durocher, Jacques Brisson, Sylvie Bérubé, Michaël Pollak, Kaoutar Ennour‐Idrissi, Simon Jacob, Benoı̂t Mâsse, Elizabeth Maunsell, Louise Provencher and Michael S. DuBow and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Caroline Diorio

110 papers receiving 3.0k citations

Hit Papers

Breast Cancer Treatments: Updates and New Challenges 2021 2026 2022 2024 2021 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
Caroline Diorio Canada 29 1.2k 823 665 663 538 115 3.1k
Ying Zheng China 29 755 0.6× 987 1.2× 608 0.9× 376 0.6× 412 0.8× 104 2.8k
Darcy Spicer United States 29 2.0k 1.7× 880 1.1× 813 1.2× 504 0.8× 675 1.3× 91 3.8k
Chen Yuan China 31 851 0.7× 930 1.1× 540 0.8× 241 0.4× 519 1.0× 121 3.3k
Angéla Sutton France 37 591 0.5× 1.5k 1.8× 383 0.6× 632 1.0× 366 0.7× 93 4.3k
Helena Jernström Sweden 28 1.2k 1.0× 822 1.0× 805 1.2× 334 0.5× 333 0.6× 107 2.7k
Xīn Gào United States 31 919 0.8× 1.2k 1.5× 365 0.5× 165 0.2× 570 1.1× 187 4.0k
Bruce W. Eckloff United States 36 896 0.8× 1.6k 2.0× 571 0.9× 466 0.7× 256 0.5× 76 3.5k
Aditi Hazra United States 27 781 0.7× 1.1k 1.4× 567 0.9× 613 0.9× 228 0.4× 56 2.6k
Ping Fan China 37 1.1k 0.9× 1.9k 2.3× 717 1.1× 254 0.4× 431 0.8× 218 4.4k
Zhigang Yu China 34 652 0.5× 1.5k 1.9× 371 0.6× 380 0.6× 249 0.5× 150 4.5k

Countries citing papers authored by Caroline Diorio

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Diorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Diorio

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Diorio. A scholar is included among the top collaborators of Caroline Diorio 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 Caroline Diorio. Caroline Diorio 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.
Diorio, Caroline, et al.. (2023). Abstract 1587: Breast cancer treatment: Exploring bazedoxifene, a known SERM, SERD and indirect STAT3 inhibitor. Cancer Research. 83(7_Supplement). 1587–1587.
3.
Duchaine, Caroline, Chantal Brisson, Caroline Diorio, et al.. (2023). Work-Related Psychosocial Factors and Global Cognitive Function: Are Telomere Length and Low-Grade Inflammation Potential Mediators of This Association?. International Journal of Environmental Research and Public Health. 20(6). 4929–4929. 6 indexed citations
4.
Joncas, France‐Hélène, et al.. (2022). Circulating levels of PCSK9, ANGPTL3 and Lp(a) in stage III breast cancers. BMC Cancer. 22(1). 1049–1049. 17 indexed citations
5.
Duchaine, Caroline, Chantal Brisson, Denis Talbot, et al.. (2021). Cumulative exposure to psychosocial stressors at work and global cognitive function: the PROspective Quebec Study on Work and Health. Occupational and Environmental Medicine. 78(12). 884–892. 5 indexed citations
6.
Diorio, Caroline, et al.. (2021). Breast Cancer Treatments: Updates and New Challenges. Journal of Personalized Medicine. 11(8). 808–808. 280 indexed citations breakdown →
8.
Furrer, Daniela, et al.. (2020). Trastuzumab effects depend on HER2 phosphorylation in HER2-negative breast cancer cell lines. PLoS ONE. 15(6). e0234991–e0234991. 21 indexed citations
9.
Chang, Sue-Ling, et al.. (2020). Association between the polymorphisms in MMP-2 and MMP-9 with adiposity and mammographic features. Breast Cancer Research and Treatment. 182(1). 169–179. 2 indexed citations
10.
Brisson, Jacques, Sylvie Bérubé, Caroline Diorio, et al.. (2017). A Randomized Double-Blind Placebo-Controlled Trial of the Effect of Vitamin D3 Supplementation on Breast Density in Premenopausal Women. Cancer Epidemiology Biomarkers & Prevention. 26(8). 1233–1241. 13 indexed citations
11.
Poirier, Éric, Christine Desbiens, Brigitte Poirier, et al.. (2017). Characteristics and long‐term survival of patients diagnosed with pure tubular carcinoma of the breast. Journal of Surgical Oncology. 117(6). 1137–1143. 14 indexed citations
12.
Yousef, Einas, Daniela Furrer, David Laperrière, et al.. (2017). MCM2: An alternative to Ki-67 for measuring breast cancer cell proliferation. Modern Pathology. 30(5). 682–697. 64 indexed citations
13.
Ennour‐Idrissi, Kaoutar, Elizabeth Maunsell, & Caroline Diorio. (2016). Telomere Length and Breast Cancer Prognosis: A Systematic Review. Cancer Epidemiology Biomarkers & Prevention. 26(1). 3–10. 55 indexed citations
14.
Soguel, Ludivine & Caroline Diorio. (2015). Anthropometric factors, adult weight gain, and mammographic features. Cancer Causes & Control. 27(3). 333–340. 12 indexed citations
15.
Diorio, Caroline, Sophie Laberge, Chantal Caron, et al.. (2014). Validation of EP1 Antibody Clone for Estrogen Receptor Immunohistochemistry in Breast Cancer. Applied immunohistochemistry & molecular morphology. 22(8). 613–618. 3 indexed citations
16.
Duchaine, Caroline, Isabelle Dumas, & Caroline Diorio. (2014). Consumption of sweet foods and mammographic breast density: a cross-sectional study. BMC Public Health. 14(1). 554–554. 17 indexed citations
17.
Lemieux, Julie, Caroline Diorio, Marc‐André Côté, et al.. (2013). Alcohol and HER2 polymorphisms as risk factor for cardiotoxicity in breast cancer treated with trastuzumab.. PubMed. 33(6). 2569–76. 59 indexed citations
18.
Dumas, Isabelle & Caroline Diorio. (2011). Estrogen pathway polymorphisms and mammographic density.. Anticancer Research. 31(12). 4369–86. 38 indexed citations
19.
Deshaies, Isabelle, Louise Provencher, Simon Jacob, et al.. (2010). Factors associated with upgrading to malignancy at surgery of atypical ductal hyperplasia diagnosed on core biopsy. The Breast. 20(1). 50–55. 58 indexed citations
20.
Brisson, Jacques, Caroline Diorio, & Benoı̂t Mâsse. (2003). Wolfe’s Parenchymal Pattern and Percentage of the Breast with Mammographic Densities. Cancer Epidemiology and Prevention Biomarkers. 12(8). 728–732. 3 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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