S M Edgerton
- Oncology top 2%
- Molecular Biology top 10%
- Cancer Research top 2%
- Pathology and Forensic Medicine top 5%
- Genetics top 10%
- Co-authors
- Ann D. ThorDan H. MooreHelene S. SmithBrian H. MayallJoseph MarcusL. SchwartzErnest S. KawasakiHenry T. Lynch
- Topics
- Cancer-related Molecular Pathways (4 papers)HER2/EGFR in Cancer Research (3 papers)Cancer, Lipids, and Metabolism (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJNCI Journal of the National Cancer InstituteOncogene
- Partner nations
- United States
In The Last Decade
S M Edgerton
14 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Oncology 1.1k
- Molecular Biology 748
- Cancer Research 661
- Pathology and Forensic Medicine 262
- Genetics 216
Countries citing papers authored by S M Edgerton
This map shows the geographic impact of S M 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 S M Edgerton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S M Edgerton more than expected).
Fields of papers citing papers by S M Edgerton
This network shows the impact of papers produced by S M 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 S M Edgerton. The network helps show where S M Edgerton may publish in the future.
Co-authorship network of co-authors of S M Edgerton
This figure shows the co-authorship network connecting the top 25 collaborators of S M Edgerton. A scholar is included among the top collaborators of S M 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 S M Edgerton. S M Edgerton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 27 | |
| 3 | 36 | |
| 4 | 76 | |
| 5 | Measures of cell turnover (proliferation and apoptosis) and their association with survival in breast cancer. | 101 |
| 6 | Gelsolin as a negative prognostic factor and effector of motility in erbB-2-positive epidermal growth factor receptor-positive breast cancers. | 68 |
| 7 | Analysis of Bax and Bcl-2 expression in p53-immunopositive breast cancers. | 64 |
| 8 | 188 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | 255 | |
| 12 | Accumulation of p53 Tumor Suppressor Gene Protein: An Independent Marker of Prognosis in Breast Cancersbreakdown → | 638 |
| 13 | pS2 expression and response to hormonal therapy in patients with advanced breast cancer. | 107 |
| 14 | Analysis of c-erbB-2 expression in breast carcinomas with clinical follow-up. | 104 |
About S M Edgerton
S M Edgerton is a scholar working on Cancer Research, Oncology and Immunology and Allergy, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (661 citations), Oncology (1.1k citations) and Reproductive Medicine (163 citations). S M Edgerton has collaborated with scholars based in United States. Frequent co-authors include Ann D. Thor, Dan H. Moore, Helene S. Smith, Brian H. Mayall, Joseph Marcus, L. Schwartz, Ernest S. Kawasaki, Henry T. Lynch, Jolanta Kupryjańczyk and Roberta L. Beauchamp. Their work appears in journals such as Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute and Oncogene.
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.