Mary E. Edgerton
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
-
- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 5
- Biomedical Text Mining and Ontologies 4
-
- Cancer Genomics and Diagnostics 5
- Breast Cancer Treatment Studies 4
- Co-authors
- Yu Shyr (5 shared papers)Vittorio Cristini (6 shared papers)Pierre P. Massion (3 shared papers)David P. Carbone (3 shared papers)John R. Roberts (3 shared papers)Paul Macklin (3 shared papers)Nicholas E. Navin (3 shared papers)Tod D. Casasent (2 shared papers)
- Journals
- Archives of Pathology & Laboratory Medicine (3 papers)BMC Medical Informatics and Decision Making (2 papers)BMC Medical Genomics (2 papers)Cancer Research (2 papers)Cancer Letters (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Mary E. Edgerton
44 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 223
- Cancer Research 655
- Oncology 684
- Spectroscopy 323
- Molecular Biology 1.2k
Countries citing papers authored by Mary E. Edgerton
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
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-authors
The 25 scholars most cited alongside Mary E. Edgerton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 455 | |
| 2 | 2018 | 290 | |
| 3 | Significance of p63 amplification and overexpression in lung cancer development and prognosis. | 2003 | 255 |
| 4 | 2012 | 162 | |
| 5 | 2008 | 157 | |
| 6 | 2014 | 114 | |
| 7 | 2004 | 112 | |
| 8 | 2003 | 112 | |
| 9 | 2009 | 106 | |
| 10 | A training-testing approach to the molecular classification of resected non-small cell lung cancer. | 2003 | 94 |
| 11 | 2008 | 71 | |
| 12 | 2003 | 56 | |
| 13 | 2016 | 54 | |
| 14 | 2009 | 44 | |
| 15 | 2011 | 38 | |
| 16 | 2011 | 36 | |
| 17 | 2017 | 34 | |
| 18 | 2011 | 32 | |
| 19 | 2011 | 31 | |
| 20 | 2024 | 28 |
About Mary E. Edgerton
Mary E. Edgerton is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Surgery, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (5 papers), Breast Lesions and Carcinomas (5 papers), Bioinformatics and Genomic Networks (5 papers), Breast Cancer Treatment Studies (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Mathematical Biology Tumor Growth (3 papers). The work is most often cited by research in Modeling and Simulation (223 citations), Cancer Research (655 citations), Oncology (684 citations), Spectroscopy (323 citations) and Molecular Biology (1.2k citations). Mary E. Edgerton has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Yu Shyr, Vittorio Cristini, Pierre P. Massion, David P. Carbone, John R. Roberts, Paul Macklin, Nicholas E. Navin, Tod D. Casasent, Sorena Nadaf and Kiyoshi Yanagisawa. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, BMC Medical Informatics and Decision Making, BMC Medical Genomics, Cancer Research and Cancer Letters.
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.