Julie M. Cunningham

33.3k total citations · 2 hit papers
215 papers, 10.9k citations indexed

About

Julie M. Cunningham is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Julie M. Cunningham has authored 215 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 64 papers in Cancer Research and 50 papers in Genetics. Recurrent topics in Julie M. Cunningham's work include Cancer Genomics and Diagnostics (32 papers), Epigenetics and DNA Methylation (28 papers) and Genetic factors in colorectal cancer (27 papers). Julie M. Cunningham is often cited by papers focused on Cancer Genomics and Diagnostics (32 papers), Epigenetics and DNA Methylation (28 papers) and Genetic factors in colorectal cancer (27 papers). Julie M. Cunningham collaborates with scholars based in United States, Canada and Belarus. Julie M. Cunningham's co-authors include Stephen N. Thibodeau, Daniel J. Schaid, Lawrence J. Burgart, Shannon K. McDonnell, David J. Tester, Patrick C. Roche, Amy J. French, Eric R. Christensen, Ellen L. Goode and Scott J. Hebbring and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Julie M. Cunningham

212 papers receiving 10.7k citations

Hit Papers

Hypermethylation of the hMLH1 promoter in colon cancer wi... 1998 2026 2007 2016 1998 2002 200 400 600

Peers

Julie M. Cunningham
Constance A. Griffin United States
Richard S. Houlston United Kingdom
Gerhard A. Coetzee United States
Jeff Boyd United States
Julie M. Cunningham
Citations per year, relative to Julie M. Cunningham Julie M. Cunningham (= 1×) peers Robert M.W. Hofstra

Countries citing papers authored by Julie M. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Julie M. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie M. Cunningham. 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 Julie M. Cunningham. The network helps show where Julie M. Cunningham may publish in the future.

Co-authorship network of co-authors of Julie M. Cunningham

This figure shows the co-authorship network connecting the top 25 collaborators of Julie M. Cunningham. A scholar is included among the top collaborators of Julie M. Cunningham 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 Julie M. Cunningham. Julie M. Cunningham 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.
Na, Renhua, Kathryn Alsop, Ellen L. Goode, et al.. (2024). Risk Factors for Ovarian Cancer by BRCA Status: A Collaborative Case-Only Analysis. Cancer Epidemiology Biomarkers & Prevention. 33(4). 586–592. 2 indexed citations
2.
Liu, Yuanhang, Robert A. Vierkant, Aditya Bhagwate, et al.. (2024). Evaluating cell type deconvolution in FFPE breast tissue: application to benign breast disease. NAR Genomics and Bioinformatics. 6(3). lqae098–lqae098. 1 indexed citations
3.
McDonough, Samantha J., Aditya Bhagwate, Zhifu Sun, et al.. (2019). Use of FFPE-derived DNA in next generation sequencing: DNA extraction methods. PLoS ONE. 14(4). e0211400–e0211400. 62 indexed citations
4.
Slager, Susan L., Sara J. Achenbach, Yan W. Asmann, et al.. (2013). Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes. Cancer Epidemiology Biomarkers & Prevention. 22(3). 461–466. 12 indexed citations
6.
Miller, Michael B., Saonli Basu, Julie M. Cunningham, et al.. (2012). The Minnesota Center for Twin and Family Research Genome-Wide Association Study. Twin Research and Human Genetics. 15(6). 767–774. 53 indexed citations
7.
Andrade, Mariza de, Yan Li, Randolph S. Marks, et al.. (2011). Genetic Variants Associated with the Risk of Chronic Obstructive Pulmonary Disease with and without Lung Cancer. Cancer Prevention Research. 5(3). 365–373. 19 indexed citations
8.
Tan, Xiang-Lin, Ann M. Moyer, Brooke L. Fridley, et al.. (2011). Genetic Variation Predicting Cisplatin Cytotoxicity Associated with Overall Survival in Lung Cancer Patients Receiving Platinum-Based Chemotherapy. Clinical Cancer Research. 17(17). 5801–5811. 82 indexed citations
9.
Li, Yafei, Zhifu Sun, Julie M. Cunningham, et al.. (2011). Genetic Variations in Multiple Drug Action Pathways and Survival in Advanced Stage Non–Small Cell Lung Cancer Treated with Chemotherapy. Clinical Cancer Research. 17(11). 3830–3840. 22 indexed citations
10.
Yang, Ping, Yafei Li, Ruoxiang Jiang, et al.. (2010). A Rigorous and Comprehensive Validation: Common Genetic Variations and Lung Cancer. Cancer Epidemiology Biomarkers & Prevention. 19(1). 240–244. 30 indexed citations
11.
Reinholz, Monica M., Jeanette E. Eckel‐Passow, S. Keith Anderson, et al.. (2010). Expression profiling of formalin-fixed paraffin-embedded primary breast tumors using cancer-specific and whole genome gene panels on the DASL®platform. BMC Medical Genomics. 3(1). 60–60. 11 indexed citations
12.
Olivo‐Marston, Susan, Ping Yang, Leah E. Mechanic, et al.. (2009). Childhood Exposure to Secondhand Smoke and Functional Mannose Binding Lectin Polymorphisms Are Associated with Increased Lung Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 18(12). 3375–3383. 46 indexed citations
13.
Wang, Liang, Hui Tang, Venugopal Thayanithy, et al.. (2009). Gene Networks and microRNAs Implicated in Aggressive Prostate Cancer. Cancer Research. 69(24). 9490–9497. 125 indexed citations
14.
McWilliams, Robert R., William R. Bamlet, Mariza de Andrade, et al.. (2009). Polymorphic Variants in Hereditary Pancreatic Cancer Genes Are Not Associated with Pancreatic Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 18(9). 2549–2552. 5 indexed citations
15.
Kelemen, Linda E., Thomas A. Sellers, Joellen M. Schildkraut, et al.. (2008). Genetic Variation in the One-Carbon Transfer Pathway and Ovarian Cancer Risk. Cancer Research. 68(7). 2498–2506. 50 indexed citations
16.
Vachon, Celine M., Thomas A. Sellers, Erin E. Carlson, et al.. (2007). Strong Evidence of a Genetic Determinant for Mammographic Density, a Major Risk Factor for Breast Cancer. Cancer Research. 67(17). 8412–8418. 58 indexed citations
17.
Consugar, Mark, Sarah Anderson, Sandro Rossetti, et al.. (2005). Haplotype analysis improves molecular diagnostics of autosomal recessive polycystic kidney disease. American Journal of Kidney Diseases. 45(1). 77–87. 24 indexed citations
18.
Lindor, Noralane M., Lawrence J. Burgart, Olga Leontovich, et al.. (2002). Immunohistochemistry Versus Microsatellite Instability Testing in Phenotyping Colorectal Tumors. Journal of Clinical Oncology. 20(4). 1043–1048. 455 indexed citations
19.
Wang, Liang, Shannon K. McDonnell, David A. Elkins, et al.. (2002). Analysis of the RNASEL Gene in Familial and Sporadic Prostate Cancer. The American Journal of Human Genetics. 71(1). 116–123. 92 indexed citations
20.
Hughes, Pamela, et al.. (1983). Immune complexes in systemic sclerosis; detection by C1q binding, K-cell inhibition and Raji cell radioimmunoassays.. PubMed. 10(3). 133–8. 8 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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