P F Blackmore
- Molecular Biology top 1%
- Surgery top 2%
- Biotechnology top 0.1%
- Physiology top 1%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- John H. ExtonStephen J. BeebeStephen BocckinoR CharestKarl H. SchoenbachVeronica PrpićYuliya DobrydnevaChristopher J. Lynch
- Topics
- Pancreatic function and diabetes (34 papers)Sperm and Testicular Function (20 papers)Microbial Inactivation Methods (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
P F Blackmore
156 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 5.2k
- Surgery 1.6k
- Biotechnology 1.5k
- Physiology 1.5k
- Cellular and Molecular Neuroscience 1.5k
Countries citing papers authored by P F Blackmore
This map shows the geographic impact of P F Blackmore'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 F Blackmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P F Blackmore more than expected).
Fields of papers citing papers by P F Blackmore
This network shows the impact of papers produced by P F Blackmore. 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 F Blackmore. The network helps show where P F Blackmore may publish in the future.
Co-authorship network of co-authors of P F Blackmore
This figure shows the co-authorship network connecting the top 25 collaborators of P F Blackmore. A scholar is included among the top collaborators of P F Blackmore 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 F Blackmore. P F Blackmore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 86 | |
| 3 | 2 | |
| 4 | 107 | |
| 5 | 178 | |
| 6 | 163 | |
| 7 | 200 | |
| 8 | 57 | |
| 9 | 7 | |
| 10 | 34 | |
| 11 | 66 | |
| 12 | 36 | |
| 13 | 51 | |
| 14 | 9 | |
| 15 | 65 | |
| 16 | 14 | |
| 17 | 13 | |
| 18 | Agonist induced formation of myoinositol 1,4,5-P/sub 3/, myoinositol 1,3,4-P/sub 3/ and myoinositol-P/sub 4/ in rat liver parenchymal cells | 1 |
| 19 | 138 | |
| 20 | alpha-Adrenergic blockade and inhibition of A23187 mediated Ca2+ uptake by the calcium antagonist verapamil in rat liver cells. | 62 |
About P F Blackmore
P F Blackmore is a scholar working on Physiology, Reproductive Medicine and Biotechnology, having authored 157 papers that have together received 10.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (34 papers), Sperm and Testicular Function (20 papers) and Microbial Inactivation Methods (17 papers). The work is most often cited by research in Physiology (968 citations), Biotechnology (1.5k citations) and Reproductive Medicine (1.2k citations). P F Blackmore has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include John H. Exton, Stephen J. Beebe, Stephen Bocckino, R Charest, Karl H. Schoenbach, Veronica Prpić, Yuliya Dobrydneva, Christopher J. Lynch, Nancy J. Alexander and P B Wilson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.