George J. Cullinan
- Genetics top 2%
- Molecular Biology
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pharmacology top 5%
- Co-authors
- Masahiko SatoWilliam R. BenschRaymond F. KauffmanLarry J. BlackEllen R. RowleyD. Clive WilliamsA BekeleDavid E. Magee
- Topics
- Estrogen and related hormone effects (6 papers)Menopause: Health Impacts and Treatments (4 papers)Chromatography in Natural Products (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Medicinal Chemistry
- Partner nations
- United StatesBrazil
In The Last Decade
George J. Cullinan
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Genetics 717
- Molecular Biology 416
- Oncology 343
- Endocrinology, Diabetes and Metabolism 289
- Pharmacology 287
Countries citing papers authored by George J. Cullinan
This map shows the geographic impact of George J. Cullinan'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 George J. Cullinan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George J. Cullinan more than expected).
Fields of papers citing papers by George J. Cullinan
This network shows the impact of papers produced by George J. Cullinan. 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 George J. Cullinan. The network helps show where George J. Cullinan may publish in the future.
Co-authorship network of co-authors of George J. Cullinan
This figure shows the co-authorship network connecting the top 25 collaborators of George J. Cullinan. A scholar is included among the top collaborators of George J. Cullinan 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 George J. Cullinan. George J. Cullinan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 185 | |
| 3 | 48 | |
| 4 | 144 | |
| 5 | 2 | |
| 6 | 211 | |
| 7 | Raloxifene (LY139481 HCI) prevents bone loss and reduces serum cholesterol without causing uterine hypertrophy in ovariectomized rats.breakdown → | 506 |
| 8 | 95 | |
| 9 | 3 | |
| 10 | 45 | |
| 11 | 17 | |
| 12 | 47 | |
| 13 | Antitumor activity of deacetyl vinblastine amide sulfate (vindesine) in rodents and mitotic accumulation studies in culture. | 26 |
| 14 | 102 |
About George J. Cullinan
George J. Cullinan is a scholar working on Analytical Chemistry, Toxicology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Menopause: Health Impacts and Treatments (4 papers) and Chromatography in Natural Products (3 papers). The work is most often cited by research in Genetics (717 citations), Toxicology (84 citations) and Endocrinology, Diabetes and Metabolism (289 citations). George J. Cullinan has collaborated with scholars based in United States and Brazil. Frequent co-authors include Masahiko Sato, William R. Bensch, Raymond F. Kauffman, Larry J. Black, Ellen R. Rowley, D. Clive Williams, A Bekele, David E. Magee, Raymond A. Bendele and Henry U. Bryant. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Medicinal Chemistry.
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.