R A Maurer
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 2%
- Reproductive Medicine top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Hervé EnslenPeggy MyungPeilong SunAngelο C. NotidesW E SchoderbekMark O. ShowersRichard N. DayJ E Donelson
- Topics
- Growth Hormone and Insulin-like Growth Factors (17 papers)Estrogen and related hormone effects (7 papers)Hypothalamic control of reproductive hormones (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryGenes & Development
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
R A Maurer
44 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 2.0k
- Endocrinology, Diabetes and Metabolism 1.1k
- Genetics 1.1k
- Reproductive Medicine 671
- Cellular and Molecular Neuroscience 523
Countries citing papers authored by R A Maurer
This map shows the geographic impact of R A Maurer'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 R A Maurer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R A Maurer more than expected).
Fields of papers citing papers by R A Maurer
This network shows the impact of papers produced by R A Maurer. 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 R A Maurer. The network helps show where R A Maurer may publish in the future.
Co-authorship network of co-authors of R A Maurer
This figure shows the co-authorship network connecting the top 25 collaborators of R A Maurer. A scholar is included among the top collaborators of R A Maurer 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 R A Maurer. R A Maurer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 135 | |
| 3 | Differential activation of CREB by Ca2+/calmodulin-dependent protein kinases type II and type IV involves phosphorylation of a site that negatively regulates activity.breakdown → | 652 |
| 4 | 14 | |
| 5 | 39 | |
| 6 | 46 | |
| 7 | 49 | |
| 8 | 60 | |
| 9 | 45 | |
| 10 | 105 | |
| 11 | 93 | |
| 12 | 27 | |
| 13 | 210 | |
| 14 | 21 | |
| 15 | 53 | |
| 16 | 83 | |
| 17 | 61 | |
| 18 | 139 | |
| 19 | Morphological changes in estrogen-stimulated rat pituitary cells in culture | 1 |
| 20 | 16 |
About R A Maurer
R A Maurer is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics, having authored 44 papers that have together received 3.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (17 papers), Estrogen and related hormone effects (7 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Reproductive Medicine (671 citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Genetics (1.1k citations). R A Maurer has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Hervé Enslen, Peggy Myung, Peilong Sun, Angelο C. Notides, W E Schoderbek, Mark O. Showers, Richard N. Day, J E Donelson, Mara E. Lieberman and Paul W. Howard. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.
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.