Edwin D. Savlov
- Oncology top 10%
- Genetics top 5%
- Cancer Research top 10%
- Molecular Biology
- Surgery
- Co-authors
- Russell HilfJames L. WittliffThomas C. HallJ. Englebert DunphyMichael FeldsteinScott L. GibsonWilliam H. StrainRobert A. Orlando
- Topics
- Estrogen and related hormone effects (6 papers)Cancer Treatment and Pharmacology (4 papers)Breast Cancer Treatment Studies (4 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Edwin D. Savlov
32 papers receiving 853 citations
Peers
Comparison fields: 5 of 84
- Oncology 363
- Genetics 356
- Cancer Research 307
- Molecular Biology 186
- Surgery 138
Countries citing papers authored by Edwin D. Savlov
This map shows the geographic impact of Edwin D. Savlov'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 Edwin D. Savlov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin D. Savlov more than expected).
Fields of papers citing papers by Edwin D. Savlov
This network shows the impact of papers produced by Edwin D. Savlov. 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 Edwin D. Savlov. The network helps show where Edwin D. Savlov may publish in the future.
Co-authorship network of co-authors of Edwin D. Savlov
This figure shows the co-authorship network connecting the top 25 collaborators of Edwin D. Savlov. A scholar is included among the top collaborators of Edwin D. Savlov 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 Edwin D. Savlov. Edwin D. Savlov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 5 | |
| 3 | 25 | |
| 4 | 1 | |
| 5 | 37 | |
| 6 | 5 | |
| 7 | 32 | |
| 8 | 34 | |
| 9 | 96 | |
| 10 | A statistical model for predicting response of breast cancer patients to cytotoxic chemotherapy. | 7 |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 37 | |
| 15 | Studies on certain cytoplasmic enzymes and specific estrogen receptors in human breast cancer and in nonmalignant diseases of the breast. | 49 |
| 16 | 5 | |
| 17 | Iliac and femoral arteriosclerosis following pelvic irradiation for carcinoma of the ovary. Report of a case. | 18 |
| 18 | 2 | |
| 19 | 90 | |
| 20 | 38 |
About Edwin D. Savlov
Edwin D. Savlov is a scholar working on Oncology, Cancer Research and Rehabilitation, having authored 32 papers that have together received 968 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Cancer Treatment and Pharmacology (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Cancer Research (307 citations), Oncology (363 citations) and Genetics (356 citations). Edwin D. Savlov has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Russell Hilf, James L. Wittliff, Thomas C. Hall, J. Englebert Dunphy, Michael Feldstein, Scott L. Gibson, William H. Strain, Robert A. Orlando, Carol Redmond and Norman Wolmark. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of Clinical Oncology.
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.