Mary B. Daly

17.7k total citations · 1 hit paper
175 papers, 10.9k citations indexed

About

Mary B. Daly is a scholar working on Genetics, Oncology and Sociology and Political Science. According to data from OpenAlex, Mary B. Daly has authored 175 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Genetics, 57 papers in Oncology and 32 papers in Sociology and Political Science. Recurrent topics in Mary B. Daly's work include BRCA gene mutations in cancer (90 papers), Family Support in Illness (26 papers) and Global Cancer Incidence and Screening (23 papers). Mary B. Daly is often cited by papers focused on BRCA gene mutations in cancer (90 papers), Family Support in Illness (26 papers) and Global Cancer Incidence and Screening (23 papers). Mary B. Daly collaborates with scholars based in United States, Canada and Australia. Mary B. Daly's co-authors include Suzanne M. Miller, Walter M. Cronin, Bernard Fisher, Carol Redmond, Maureen Kavanah, Victor G. Vogel, James N. Atkins, Elizabeth Tan-Chiu, D. Lawrence Wickerham and André Robidoux and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Mary B. Daly

165 papers receiving 10.4k citations

Hit Papers

Tamoxifen for Prevention of Breast Cancer: Report of the ... 1998 2026 2007 2016 1998 1000 2.0k 3.0k 4.0k

Peers

Mary B. Daly
Wylie Burke United States
Claudine Isaacs United States
Timothy R. Rebbeck United States
Caryn Lerman United States
Victor G. Vogel United States
Jennifer J. Griggs United States
Usha Menon United Kingdom
Dorothy S. Lane United States
Bettina Meiser Australia
Wylie Burke United States
Mary B. Daly
Citations per year, relative to Mary B. Daly Mary B. Daly (= 1×) peers Wylie Burke

Countries citing papers authored by Mary B. Daly

Since Specialization
Citations

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

Fields of papers citing papers by Mary B. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary B. Daly

This figure shows the co-authorship network connecting the top 25 collaborators of Mary B. Daly. A scholar is included among the top collaborators of Mary B. Daly 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 B. Daly. Mary B. Daly 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.
Kehm, Rebecca D., Jeanine M. Genkinger, Julia A. Knight, et al.. (2024). Physical Activity during Adolescence and Early Adulthood and Breast Cancer Risk before Age 40 Years. Cancer Epidemiology Biomarkers & Prevention. 34(1). 108–116. 1 indexed citations
2.
Wiese, Daniel, Kristen A. Sorice, Carolyn Y. Fang, et al.. (2024). An exploratory analysis of the impact of area-level exposome on geographic disparities in aggressive prostate cancer. Scientific Reports. 14(1). 16900–16900. 1 indexed citations
3.
Haslam, Danielle E., Esther M. John, Julia A. Knight, et al.. (2023). Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry. Cancer Epidemiology Biomarkers & Prevention. 32(5). 678–686. 4 indexed citations
4.
Smith, Valerie, Hannah Delaney, Andrew Hunter, et al.. (2023). The development and acceptability of an educational and training intervention for recruiters to neonatal trials: the TRAIN project. BMC Medical Research Methodology. 23(1). 265–265.
5.
Daly, Mary B., Eric T. Rosenthal, Shelly Cummings, et al.. (2023). The association between age at breast cancer diagnosis and prevalence of pathogenic variants. Breast Cancer Research and Treatment. 199(3). 617–626. 5 indexed citations
6.
Hall, Michael J., et al.. (2022). Therapeutic implications of germline vulnerabilities in DNA repair for precision oncology. Cancer Treatment Reviews. 104. 102337–102337. 10 indexed citations
7.
Choi, Yun‐Hee, Saundra S. Buys, Mary B. Daly, et al.. (2021). A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families. Statistical Methods in Medical Research. 30(9). 2165–2183. 1 indexed citations
8.
Reese, Jennifer Barsky, Lauren A. Zimmaro, Stephen J. Lepore, et al.. (2020). Evaluating a couple-based intervention addressing sexual concerns for breast cancer survivors: study protocol for a randomized controlled trial. Trials. 21(1). 173–173. 24 indexed citations
9.
Nicolas, Émmanuelle, Ilya G. Serebriiskii, Pooja Ghatalia, et al.. (2019). Interaction of germline variants in a family with a history of early‐onset clear cell renal cell carcinoma. Molecular Genetics & Genomic Medicine. 7(3). e556–e556. 9 indexed citations
10.
Reese, Jennifer Barsky, Kristen A. Sorice, Stephen J. Lepore, et al.. (2018). Patient-clinician communication about sexual health in breast cancer: A mixed-methods analysis of clinic dialogue. Patient Education and Counseling. 102(3). 436–442. 42 indexed citations
11.
Frost, Caren J., Irene L. Andrulis, Saundra S. Buys, et al.. (2018). Assessing patient readiness for personalized genomic medicine. Journal of Community Genetics. 10(1). 109–120. 12 indexed citations
12.
Lilge, Lothar, Mary Beth Terry, Dushanthi Pinnaduwage, et al.. (2017). Non-invasive optical spectroscopic monitoring of breast development during puberty. Breast Cancer Research. 19(1). 12–12. 8 indexed citations
13.
Bradbury, Angela R., Linda Patrick‐Miller, Diana Harris, et al.. (2016). Utilizing Remote Real-Time Videoconferencing to Expand Access to Cancer Genetic Services in Community Practices: A Multicenter Feasibility Study. Journal of Medical Internet Research. 18(2). e23–e23. 75 indexed citations
14.
John, Esther M., Mary Beth Terry, Theresa H.M. Keegan, et al.. (2016). The LEGACY Girls Study. Epidemiology. 27(3). 438–448. 21 indexed citations
15.
Mocci, Evelina, Roger L. Milne, John L. Hopper, et al.. (2013). Risk of Pancreatic Cancer in Breast Cancer Families from the Breast Cancer Family Registry. Cancer Epidemiology Biomarkers & Prevention. 22(5). 803–811. 61 indexed citations
16.
Bellacosa, Alfonso, Andrew K. Godwin, Suraj Peri, et al.. (2010). Altered Gene Expression in Morphologically Normal Epithelial Cells from Heterozygous Carriers of BRCA1 or BRCA2 Mutations. Cancer Prevention Research. 3(1). 48–61. 41 indexed citations
17.
Barsevick, Andrea M., Susan Montgomery, Karen Ruth, et al.. (2008). Intention to communicate BRCA1/BRCA2 genetic test results to the family.. Journal of Family Psychology. 22(2). 303–312. 39 indexed citations
18.
Fang, Carolyn Y., et al.. (2005). Psychological factors that influence decision making about prophylactic surgery. SHILAP Revista de lepidopterología. 3 indexed citations
19.
Daly, Mary B. & Robert F. Ozols. (2002). The search for predictive patterns in ovarian cancer: Proteomics meets bioinformatics. Cancer Cell. 1(2). 111–112. 31 indexed citations
20.
Hulka, Barbara S., et al.. (1975). Correlates of Satisfaction and Dissatisfaction with Medical Care: A Community Perspective. Medical Care. 13(8). 648–649. 126 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026