Lauren E. McCullough

2.4k total citations
96 papers, 1.6k citations indexed

About

Lauren E. McCullough is a scholar working on Oncology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Lauren E. McCullough has authored 96 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Oncology, 29 papers in Molecular Biology and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Lauren E. McCullough's work include Cancer Risks and Factors (37 papers), Global Cancer Incidence and Screening (26 papers) and Epigenetics and DNA Methylation (21 papers). Lauren E. McCullough is often cited by papers focused on Cancer Risks and Factors (37 papers), Global Cancer Incidence and Screening (26 papers) and Epigenetics and DNA Methylation (21 papers). Lauren E. McCullough collaborates with scholars based in United States, China and Denmark. Lauren E. McCullough's co-authors include Cathrine Hoyo, Lindsay J. Collin, Keerthi Gogineni, Jasmine M. Miller‐Kleinhenz, Kevin C. Ward, Susan K. Murphy, Alfred I. Neugut, Marilie D. Gammon, Michelle A. Méndez and Patrick T. Bradshaw and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lauren E. McCullough

91 papers receiving 1.6k citations

Peers

Lauren E. McCullough
Cara L. Carty United States
Adetunji T. Toriola United States
Traci N. Bethea United States
Libby M. Morimoto United States
Kerryn W. Reding United States
Deborah A. Boggs United States
Katrina F. Trivers United States
Cara L. Carty United States
Lauren E. McCullough
Citations per year, relative to Lauren E. McCullough Lauren E. McCullough (= 1×) peers Cara L. Carty

Countries citing papers authored by Lauren E. McCullough

Since Specialization
Citations

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

Fields of papers citing papers by Lauren E. McCullough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren E. McCullough. 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 Lauren E. McCullough. The network helps show where Lauren E. McCullough may publish in the future.

Co-authorship network of co-authors of Lauren E. McCullough

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren E. McCullough. A scholar is included among the top collaborators of Lauren E. McCullough 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 Lauren E. McCullough. Lauren E. McCullough 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.
Bertrand, Kimberly A. & Lauren E. McCullough. (2025). Linking Neighborhood Socioenvironmental Factors to Breast Pathogenesis—Implications for Breast Cancer. JAMA Network Open. 8(2). e2461353–e2461353. 1 indexed citations
2.
Lynch, Raymond, Lauren E. McCullough, Lauren Nephew, et al.. (2024). Disparities in Access to Liver Transplant Referral and Evaluation among Patients with Hepatocellular Carcinoma in Georgia. Cancer Research Communications. 4(4). 1111–1119. 4 indexed citations
3.
Barber, Lauren E., Sheryl Gabram‐Mendola, Christopher S. Snyder, et al.. (2024). A ten-year overview of cancer genetic family history screening in Georgia’s Latina population. Frontiers in Public Health. 12. 1432971–1432971.
4.
Collin, Lindsay J., Lance A. Waller, Deirdre Cronin‐Fenton, et al.. (2024). The Population-level Effect of Adjuvant Therapies on Breast Cancer Recurrence: Application of the Trend-in-Trend Design. Epidemiology. 35(5). 660–666. 1 indexed citations
5.
Barber, Lauren E., Lauren E. McCullough, & Dayna A. Johnson. (2024). Eyes Wide Open: Sleep as a Potential Contributor to Racial and Ethnic Disparities in Cancer. Cancer Epidemiology Biomarkers & Prevention. 33(4). 471–479. 3 indexed citations
6.
Troeschel, Alyssa N., Terryl J. Hartman, Lauren E. McCullough, et al.. (2023). Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 32(7). 963–975. 7 indexed citations
7.
Miller‐Kleinhenz, Jasmine M., Kirsten Beyer, Yuhong Zhou, et al.. (2023). Redlining−associated methylation in breast tumors: the impact of contemporary structural racism on the tumor epigenome. Frontiers in Oncology. 13. 1154554–1154554. 13 indexed citations
8.
Jenkins, Brittany D., Emily L. Rossi, William Wooten, et al.. (2023). Neighborhood Deprivation and DNA Methylation and Expression of Cancer Genes in Breast Tumors. JAMA Network Open. 6(11). e2341651–e2341651. 15 indexed citations
9.
Collin, Lindsay J., Rebecca Nash, Jeffrey M. Switchenko, et al.. (2022). Drivers of racial, regional, and socioeconomic disparities in late‐stage breast cancer mortality. Cancer. 128(18). 3370–3382. 15 indexed citations
11.
Miller‐Kleinhenz, Jasmine M., Karen N. Conneely, Uma Krishnamurti, et al.. (2022). Neighborhood characteristics and breast tumor methylation: using epigenomics to explore cancer outcome disparities. Breast Cancer Research and Treatment. 191(3). 653–663. 15 indexed citations
12.
Collin, Lindsay J., Deirdre Cronin‐Fenton, Thomas P. Ahern, et al.. (2021). Early Discontinuation of Endocrine Therapy and Recurrence of Breast Cancer among Premenopausal Women. Clinical Cancer Research. 27(5). 1421–1428. 33 indexed citations
13.
Collin, Lindsay J., Anne H. Gaglioti, Yuhong Zhou, et al.. (2020). Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area. Cancer Epidemiology Biomarkers & Prevention. 30(1). 53–60. 109 indexed citations
14.
Troeschel, Alyssa N., Terryl J. Hartman, W. Dana Flanders, et al.. (2020). The American Cancer Society Cancer Prevention Study-3 FFQ Has Reasonable Validity and Reproducibility for Food Groups and a Diet Quality Score. Journal of Nutrition. 150(6). 1566–1578. 24 indexed citations
15.
Wang, Tengteng, Lauren E. McCullough, Alexandra J. White, et al.. (2019). Prediagnosis aspirin use, DNA methylation, and mortality after breast cancer: A population‐based study. Cancer. 125(21). 3836–3844. 13 indexed citations
16.
Collin, Lindsay J., Lauren E. McCullough, Kathleen Conway, et al.. (2019). Reproductive characteristics modify the association between global DNA methylation and breast cancer risk in a population-based sample of women. PLoS ONE. 14(2). e0210884–e0210884. 3 indexed citations
17.
Kim, Jayeon, Jennifer E. Mersereau, Nikhil K. Khankari, et al.. (2016). Polycystic ovarian syndrome (PCOS), related symptoms/sequelae, and breast cancer risk in a population-based case–control study. Cancer Causes & Control. 27(3). 403–414. 36 indexed citations
18.
Cho, Yoon Hee, Lauren E. McCullough, Marilie D. Gammon, et al.. (2015). Promoter Hypermethylation in White Blood Cell DNA and Breast Cancer Risk. Journal of Cancer. 6(9). 819–824. 25 indexed citations
20.
Khankari, Nikhil K., Patrick T. Bradshaw, Lauren E. McCullough, et al.. (2013). Genetic variation in multiple biologic pathways, flavonoid intake, and breast cancer. Cancer Causes & Control. 25(2). 215–226. 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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