Ralph R. Cavalieri
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Physiology top 5%
- Surgery top 10%
- Cell Biology top 5%
- Co-authors
- Carl M. MendelG. L. SearleLaurence A. GavinFrancis A. McMahonJames N. CastleRichard A. WeisigerB RapoportRosalind Pitt‐Rivers
- Topics
- Thyroid Disorders and Treatments (38 papers)Growth Hormone and Insulin-like Growth Factors (10 papers)Ion channel regulation and function (10 papers)
- Partner nations
- United StatesBrazilFrance
In The Last Decade
Ralph R. Cavalieri
88 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 118
- Endocrinology, Diabetes and Metabolism 1.8k
- Molecular Biology 778
- Physiology 423
- Surgery 312
- Cell Biology 250
Countries citing papers authored by Ralph R. Cavalieri
This map shows the geographic impact of Ralph R. Cavalieri'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 Ralph R. Cavalieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph R. Cavalieri more than expected).
Fields of papers citing papers by Ralph R. Cavalieri
This network shows the impact of papers produced by Ralph R. Cavalieri. 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 Ralph R. Cavalieri. The network helps show where Ralph R. Cavalieri may publish in the future.
Co-authorship network of co-authors of Ralph R. Cavalieri
This figure shows the co-authorship network connecting the top 25 collaborators of Ralph R. Cavalieri. A scholar is included among the top collaborators of Ralph R. Cavalieri 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 Ralph R. Cavalieri. Ralph R. Cavalieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 18 | |
| 3 | 30 | |
| 4 | 40 | |
| 5 | 10 | |
| 6 | 32 | |
| 7 | 25 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 34 | |
| 11 | 23 | |
| 12 | Reverse T3 and modulators of the calcium messenger system rapidly decrease T4-5'-deiodinase II activity in cultured mouse neuroblastoma cells. | 5 |
| 13 | 16 | |
| 14 | 79 | |
| 15 | 23 | |
| 16 | 73 | |
| 17 | 87 | |
| 18 | 32 | |
| 19 | Comparative evaluation of /sup 99m/Tc GH, /sup 99m/TcO/sub 4/, and /sup 99m/Tc DTPA as brain imaging agents | 1 |
| 20 | 3 |
About Ralph R. Cavalieri
Ralph R. Cavalieri is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Biochemistry, having authored 88 papers that have together received 2.9k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (38 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Ion channel regulation and function (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Gastroenterology (114 citations) and Physiology (423 citations). Ralph R. Cavalieri has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Carl M. Mendel, G. L. Searle, Laurence A. Gavin, Francis A. McMahon, James N. Castle, Richard A. Weisiger, B Rapoport, Rosalind Pitt‐Rivers, LAWSON L. ROSENBERG and Philip H. Frost. Their work appears in journals such as Nature, JAMA and Journal of Biological 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.