P.A. Davenport
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Nuclear and High Energy Physics
- Physiology
- Co-authors
- Grigory KrapivinskyDavid E. ClaphamMaurine E. LinderAlfred G. GilmanKevin WickmanRonald TaussigJorge A. Iñiguez‐LluhíGene D. Block
- Topics
- Plasma Diagnostics and Applications (3 papers)Particle accelerators and beam dynamics (3 papers)Nuclear Physics and Applications (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
P.A. Davenport
13 papers receiving 538 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Molecular Biology 382
- Cellular and Molecular Neuroscience 251
- Cardiology and Cardiovascular Medicine 121
- Nuclear and High Energy Physics 74
- Physiology 37
Countries citing papers authored by P.A. Davenport
This map shows the geographic impact of P.A. Davenport'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 P.A. Davenport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.A. Davenport more than expected).
Fields of papers citing papers by P.A. Davenport
This network shows the impact of papers produced by P.A. Davenport. 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 P.A. Davenport. The network helps show where P.A. Davenport may publish in the future.
Co-authorship network of co-authors of P.A. Davenport
This figure shows the co-authorship network connecting the top 25 collaborators of P.A. Davenport. A scholar is included among the top collaborators of P.A. Davenport 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 P.A. Davenport. P.A. Davenport is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Recombinant G-protein βγ-subunits activate the muscarinic-gated atrial potassium channelbreakdown → | 382 |
| 2 | 18 | |
| 3 | 24 | |
| 4 | 33 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Energy Balance and Efficiency of Power Stations with a Pulsed Tokamak Reactor | 1 |
| 9 | ECONOMIC GENERATION OF POWER FROM THERMONUCLEAR FUSION. | 10 |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 12 | |
| 13 | 46 | |
| 14 | 1 |
About P.A. Davenport
P.A. Davenport is a scholar working on Radiation, Nuclear and High Energy Physics and Aerospace Engineering, having authored 14 papers that have together received 555 indexed citations. Recurring topics across this work include Plasma Diagnostics and Applications (3 papers), Particle accelerators and beam dynamics (3 papers) and Nuclear Physics and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (251 citations), Nuclear and High Energy Physics (74 citations) and Molecular Biology (382 citations). P.A. Davenport has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Grigory Krapivinsky, David E. Clapham, Maurine E. Linder, Alfred G. Gilman, Kevin Wickman, Ronald Taussig, Jorge A. Iñiguez‐Lluhí, Gene D. Block, P. C. Thonemann and Barry B. Wolfe. Their work appears in journals such as Nature, Journal of Pharmacology and Experimental Therapeutics and Mayo Clinic Proceedings.
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.