Mary E. Edgerton

3.5k total citations
46 papers, 2.4k citations indexed

About

Mary E. Edgerton is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mary E. Edgerton has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Mary E. Edgerton's work include Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (9 papers) and Cancer Genomics and Diagnostics (7 papers). Mary E. Edgerton is often cited by papers focused on Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (9 papers) and Cancer Genomics and Diagnostics (7 papers). Mary E. Edgerton collaborates with scholars based in United States, United Kingdom and China. Mary E. Edgerton's co-authors include Yu Shyr, Vittorio Cristini, Pierre P. Massion, John R. Roberts, David P. Carbone, Paul Macklin, Tod D. Casasent, Nicholas E. Navin, Sorena Nadaf and Kiyoshi Yanagisawa and has published in prestigious journals such as Cell, The Lancet and Nature Communications.

In The Last Decade

Mary E. Edgerton

44 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary E. Edgerton United States 21 1.3k 812 781 354 334 46 2.4k
Marco Gerlinger United Kingdom 22 1.1k 0.8× 955 1.2× 1.2k 1.5× 647 1.8× 31 0.1× 62 2.4k
Ie−Ming Shih United States 38 3.1k 2.3× 1.5k 1.8× 1.6k 2.0× 467 1.3× 183 0.5× 112 6.1k
Heidi Lyng Norway 34 1.3k 1.0× 477 0.6× 1.3k 1.7× 578 1.6× 79 0.2× 110 3.7k
Rebecca A. Burrell United Kingdom 16 1.8k 1.3× 1.2k 1.4× 1.6k 2.1× 591 1.7× 31 0.1× 20 3.3k
Ingrid M. Meszoely United States 27 975 0.7× 1.4k 1.8× 725 0.9× 370 1.0× 65 0.2× 62 3.4k
Simone Muenst Switzerland 21 1.2k 0.9× 2.0k 2.5× 717 0.9× 410 1.2× 60 0.2× 54 3.4k
Kenneth E. Hung United States 21 1.3k 1.0× 1.5k 1.9× 338 0.4× 314 0.9× 81 0.2× 55 3.2k
Nava Almog United States 21 1.4k 1.0× 1.5k 1.8× 741 0.9× 480 1.4× 27 0.1× 36 2.6k
Savas D. Soysal Switzerland 23 1.2k 0.9× 2.0k 2.4× 760 1.0× 431 1.2× 61 0.2× 77 3.5k
Thomas G. Paulson United States 23 966 0.7× 627 0.8× 820 1.0× 783 2.2× 37 0.1× 37 2.6k

Countries citing papers authored by Mary E. Edgerton

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Edgerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary E. Edgerton

This figure shows the co-authorship network connecting the top 25 collaborators of Mary E. Edgerton. A scholar is included among the top collaborators of Mary E. Edgerton 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 E. Edgerton. Mary E. Edgerton 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.
Campbell, W. Scott, Brian Rous, Stefan V. Dubois, et al.. (2025). Advancements in Interoperability: Achieving Anatomic Pathology Reports That Adhere to International Standards and Are Both Human-Readable and Readily Computable. JCO Clinical Cancer Informatics. 9(9). e2400180–e2400180. 2 indexed citations
3.
Wang, Sumei, Do‐Youn Oh, Vasiliki Leventaki, et al.. (2019). MicroRNA-17 acts as a tumor chemosensitizer by targeting JAB1/CSN5 in triple-negative breast cancer. Cancer Letters. 465. 12–23. 26 indexed citations
4.
Kuerer, Henry M., Benjamin D. Smith, Mariana Chávez‐MacGregor, et al.. (2017). DCIS Margins and Breast Conservation: MD Anderson Cancer Center Multidisciplinary Practice Guidelines and Outcomes. Journal of Cancer. 8(14). 2653–2662. 34 indexed citations
5.
Han, Leng, Yuan Yuan, Siyuan Zheng, et al.. (2014). The Pan-Cancer analysis of pseudogene expression reveals biologically and clinically relevant tumour subtypes. Nature Communications. 5(1). 3963–3963. 113 indexed citations
6.
Macklin, Paul, Mary E. Edgerton, Alastair M. Thompson, & Vittorio Cristini. (2012). Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): From microscopic measurements to macroscopic predictions of clinical progression. Journal of Theoretical Biology. 301. 122–140. 160 indexed citations
7.
Edgerton, Mary E., et al.. (2012). Challenges of the information age: the impact of false discovery on pathway identification. BMC Research Notes. 5(1). 647–647. 1 indexed citations
8.
Thompson, Patricia A., Abenaa M. Brewster, Veerabhadran Baladandayuthapani, et al.. (2011). Selective Genomic Copy Number Imbalances and Probability of Recurrence in Early-Stage Breast Cancer. PLoS ONE. 6(8). e23543–e23543. 38 indexed citations
9.
Frey, Lewis J., Stephen Piccolo, & Mary E. Edgerton. (2011). Multiplicity: an organizing principle for cancers and somatic mutations. BMC Medical Genomics. 4(1). 52–52. 2 indexed citations
10.
Albarracin, Constance T., Mary E. Edgerton, Michael Z. Gilcrease, et al.. (2010). Is it too soon to start reporting HER2 genetic heterogeneity?. Archives of Pathology & Laboratory Medicine. 134(2). 162–3; author reply 163. 7 indexed citations
11.
Broom, Bradley M., Erik P. Sulman, Kim‐Anh Do, Mary E. Edgerton, & Kenneth Aldape. (2010). Bagged gene shaving for the robust clustering of high-throughput data. International Journal of Bioinformatics Research and Applications. 6(4). 326–326. 4 indexed citations
12.
Edgerton, Mary E., William E. Grizzle, & M. Kay Washington. (2010). The deployment of a tissue request tracking system for the CHTN: a case study in managing change in informatics for biobanking operations. BMC Medical Informatics and Decision Making. 10(1). 32–32. 8 indexed citations
13.
Frieboes, Hermann B., Mary E. Edgerton, John P. Fruehauf, et al.. (2009). Prediction of Drug Response in Breast Cancer Using Integrative Experimental/Computational Modeling. Cancer Research. 69(10). 4484–4492. 106 indexed citations
14.
Sanga, Sandeep, Bradley M. Broom, Vittorio Cristini, & Mary E. Edgerton. (2009). Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family. BMC Medical Genomics. 2(1). 59–59. 44 indexed citations
15.
Khalifeh, Ibrahim, Constance T. Albarracin, Leslie K. Diaz, et al.. (2008). Clinical, Histopathologic, and Immunohistochemical Features of Microglandular Adenosis and Transition Into In Situ and Invasive Carcinoma. The American Journal of Surgical Pathology. 32(4). 544–552. 69 indexed citations
16.
Massion, Pierre P., Yu Shyr, S.M. Jamshedur Rahman, et al.. (2004). Early Involvement of the Phosphatidylinositol 3-Kinase/Akt Pathway in Lung Cancer Progression. American Journal of Respiratory and Critical Care Medicine. 170(10). 1088–1094. 110 indexed citations
17.
Yanagisawa, Kiyoshi, Yu Shyr, Baogang Xu, et al.. (2003). Proteomic patterns of tumour subsets in non-small-cell lung cancer. The Lancet. 362(9382). 433–439. 455 indexed citations
18.
Berman, Jules J., Mary E. Edgerton, & Bruce A. Friedman. (2003). The tissue microarray data exchange specification: A community-based, open source tool for sharing tissue microarray data. BMC Medical Informatics and Decision Making. 3(1). 5–5. 56 indexed citations
19.
Edgerton, Mary E., Ronald C. Taylor, John Powell, et al.. (2002). A bioinformatics tool to select sequences for microarraystudies of mouse models of oncogenesis. Bioinformatics. 18(5). 774–775. 5 indexed citations
20.
Edgerton, Mary E., Shelley A. Roberts, & Kathleen T. Montone. (2000). Immunohistochemical Performance of Antibodies on Previously Frozen Tissue. Applied immunohistochemistry & molecular morphology. 8(3). 244–248. 9 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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