Michael W. DeGregorio
- Genetics top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Infectious Diseases top 5%
- Co-authors
- Gregory T. WurzV. WiebeCurt A. RiesWilliam M. F. LeeC. Kent OsborneValerie J. WiebeCharles LinkerWalter M. Holleran
- Topics
- Estrogen and related hormone effects (44 papers)Cancer Treatment and Pharmacology (20 papers)Menopause: Health Impacts and Treatments (14 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Michael W. DeGregorio
98 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 123
- Genetics 1.2k
- Oncology 1.1k
- Molecular Biology 759
- Endocrinology, Diabetes and Metabolism 526
- Infectious Diseases 456
Countries citing papers authored by Michael W. DeGregorio
This map shows the geographic impact of Michael W. DeGregorio'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 Michael W. DeGregorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. DeGregorio more than expected).
Fields of papers citing papers by Michael W. DeGregorio
This network shows the impact of papers produced by Michael W. DeGregorio. 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 Michael W. DeGregorio. The network helps show where Michael W. DeGregorio may publish in the future.
Co-authorship network of co-authors of Michael W. DeGregorio
This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. DeGregorio. A scholar is included among the top collaborators of Michael W. DeGregorio 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 Michael W. DeGregorio. Michael W. DeGregorio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 64 | |
| 8 | 59 | |
| 9 | 7 | |
| 10 | 34 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 54 | |
| 14 | 14 | |
| 15 | 69 | |
| 16 | 21 | |
| 17 | 60 | |
| 18 | 16 | |
| 19 | 79 | |
| 20 | 22 |
About Michael W. DeGregorio
Michael W. DeGregorio is a scholar working on Toxicology, Genetics and Oncology, having authored 99 papers that have together received 3.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (44 papers), Cancer Treatment and Pharmacology (20 papers) and Menopause: Health Impacts and Treatments (14 papers). The work is most often cited by research in Genetics (1.2k citations), Oncology (1.1k citations) and Endocrinology, Diabetes and Metabolism (526 citations). Michael W. DeGregorio has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Gregory T. Wurz, V. Wiebe, Curt A. Ries, William M. F. Lee, C. Kent Osborne, Valerie J. Wiebe, Charles Linker, Walter M. Holleran, Richard A. Jacobs and Kent E. Wallner. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.
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.