Paul Rose
- Molecular Biology
- Oncology top 10%
- Immunology
- Cellular and Molecular Neuroscience top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Huilin ZhaoKurt MorgensternDarlene A. DarttThomas M. RobertsHong LuoCharles R. DearolfDwayne L. BarberAlan D. D’Andrea
- Topics
- Protein Kinase Regulation and GTPase Signaling (4 papers)Receptor Mechanisms and Signaling (4 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)
- Cited by
- OncologyImmunologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Paul Rose
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 634
- Oncology 329
- Immunology 205
- Cellular and Molecular Neuroscience 124
- Public Health, Environmental and Occupational Health 101
Countries citing papers authored by Paul Rose
This map shows the geographic impact of Paul Rose'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 Paul Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Rose more than expected).
Fields of papers citing papers by Paul Rose
This network shows the impact of papers produced by Paul Rose. 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 Paul Rose. The network helps show where Paul Rose may publish in the future.
Co-authorship network of co-authors of Paul Rose
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Rose. A scholar is included among the top collaborators of Paul Rose 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 Paul Rose. Paul Rose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 42 | |
| 3 | 19 | |
| 4 | 113 | |
| 5 | 114 | |
| 6 | 44 | |
| 7 | 205 | |
| 8 | 17 | |
| 9 | 33 | |
| 10 | 207 | |
| 11 | 77 | |
| 12 | 20 | |
| 13 | 16 | |
| 14 | 32 | |
| 15 | 47 | |
| 16 | 22 | |
| 17 | Role of cyclic AMP and Ca2+ in potentiation of rat lacrimal gland protein secretion. | 19 |
| 18 | Cyclic AMP and Ca2+/calmodulin dependent protein phosphorylation in rat lacrimal gland basolateral membranes | 1 |
| 19 | 81 | |
| 20 | 14 |
About Paul Rose
Paul Rose is a scholar working on Microbiology, Oncology and Ophthalmology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (329 citations), Immunology (205 citations) and Molecular Biology (634 citations). Paul Rose has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Huilin Zhao, Kurt Morgenstern, Darlene A. Dartt, Thomas M. Roberts, Hong Luo, Charles R. Dearolf, Dwayne L. Barber, Alan D. D’Andrea, David R. Stover and Xiaotian Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.