P. Molenaar
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Cell Biology top 10%
- Physiology
- Co-authors
- R. L. PolakRicardo MilediJaap J. PlompDoreen SarseroAlberto J. KaumannWilliam ParsonageAngela VincentJohn Newsom–Davis
- Topics
- Ion channel regulation and function (9 papers)Receptor Mechanisms and Signaling (7 papers)Myasthenia Gravis and Thymoma (5 papers)
- Journals
- NatureBrainThe Journal of Physiology
- Partner nations
- NetherlandsUnited KingdomAustralia
In The Last Decade
P. Molenaar
33 papers receiving 923 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 587
- Cellular and Molecular Neuroscience 444
- Neurology 241
- Cell Biology 162
- Physiology 139
Countries citing papers authored by P. Molenaar
This map shows the geographic impact of P. Molenaar'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. Molenaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Molenaar more than expected).
Fields of papers citing papers by P. Molenaar
This network shows the impact of papers produced by P. Molenaar. 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. Molenaar. The network helps show where P. Molenaar may publish in the future.
Co-authorship network of co-authors of P. Molenaar
This figure shows the co-authorship network connecting the top 25 collaborators of P. Molenaar. A scholar is included among the top collaborators of P. Molenaar 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. Molenaar. P. Molenaar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 42 | |
| 3 | Activation of calcineurin in human failing heart ventricle by endothelin-1, angiotensin II and urotensin | 2 |
| 4 | Investigation of urotensin-II converting enzyme activity in human cells and blood | 1 |
| 5 | 46 | |
| 6 | The atypical cardiostimulant beta-adrenoceptor is distinct from beta-adrenoceptors and coupled to a cyclic AMP-dependent pathway in human and rat myocardium | 11 |
| 7 | 54 | |
| 8 | 53 | |
| 9 | 159 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 22 | |
| 16 | 60 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 48 |
About P. Molenaar
P. Molenaar is a scholar working on Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 34 papers that have together received 980 indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Receptor Mechanisms and Signaling (7 papers) and Myasthenia Gravis and Thymoma (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (444 citations), Neurology (241 citations) and Cell Biology (162 citations). P. Molenaar has collaborated with scholars based in Netherlands, United Kingdom and Australia. Frequent co-authors include R. L. Polak, Ricardo Miledi, Jaap J. Plomp, Doreen Sarsero, Alberto J. Kaumann, William Parsonage, Angela Vincent, John Newsom–Davis, Alberto J. Kaumann and Victor J. Nickolson. Their work appears in journals such as Nature, Brain and The Journal of Physiology.
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.