Charles G. Rosa
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Cellular and Molecular Neuroscience
- Rheumatology
- Neurology
- Co-authors
- K. C. TsouJoseph T. VelardoAlbert W. SedarSavino A. D’AngeloEstela Natacha Brandt BusanelloCarlos Roberto de Mello RiederMaria Julia Machline CarrionÂngela Zanatta
- Topics
- Growth Hormone and Insulin-like Growth Factors (2 papers)Molecular Biology Techniques and Applications (2 papers)Thyroid Disorders and Treatments (2 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Charles G. Rosa
16 papers receiving 272 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 126
- Endocrinology, Diabetes and Metabolism 34
- Cellular and Molecular Neuroscience 33
- Rheumatology 30
- Neurology 25
Countries citing papers authored by Charles G. Rosa
This map shows the geographic impact of Charles G. Rosa'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 Charles G. Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles G. Rosa more than expected).
Fields of papers citing papers by Charles G. Rosa
This network shows the impact of papers produced by Charles G. Rosa. 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 Charles G. Rosa. The network helps show where Charles G. Rosa may publish in the future.
Co-authorship network of co-authors of Charles G. Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Charles G. Rosa. A scholar is included among the top collaborators of Charles G. Rosa 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 Charles G. Rosa. Charles G. Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | Prolactin and thyrotropin responses to nursing during the early puerperium. | 4 |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | Female genital system | 2 |
| 7 | 31 | |
| 8 | 30 | |
| 9 | 36 | |
| 10 | 40 | |
| 11 | 13 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 51 | |
| 16 | 14 |
About Charles G. Rosa
Charles G. Rosa is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Pharmaceutical Science, having authored 16 papers that have together received 318 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), Molecular Biology Techniques and Applications (2 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Biochemistry (19 citations), Clinical Biochemistry (16 citations) and Reproductive Medicine (18 citations). Charles G. Rosa has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include K. C. Tsou, Joseph T. Velardo, Albert W. Sedar, Savino A. D’Angelo, Estela Natacha Brandt Busanello, Carlos Roberto de Mello Rieder, Maria Julia Machline Carrion, Ângela Zanatta, Carmen Regla Vargas and Jaderson Costa da Costa. Their work appears in journals such as Nature, The Journal of Cell Biology and Annals of the New York Academy of Sciences.
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.