M. J. Mathy
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Pharmacology
- Co-authors
- A. de JongeP. A. van ZwietenH. N. DoodsD. DavideskoK. J. van CharldorpPieter A. van ZwietenMartin PfaffendorfP.B.M.W.M. Timmermans
- Topics
- Receptor Mechanisms and Signaling (16 papers)Neuroscience and Neuropharmacology Research (8 papers)Nitric Oxide and Endothelin Effects (7 papers)
- Journals
- The FASEB JournalJournal of Pharmacology and Experimental TherapeuticsBritish Journal of Pharmacology
- Partner nations
- NetherlandsNew ZealandItaly
In The Last Decade
M. J. Mathy
25 papers receiving 665 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 486
- Cellular and Molecular Neuroscience 338
- Cardiology and Cardiovascular Medicine 160
- Physiology 160
- Pharmacology 43
Countries citing papers authored by M. J. Mathy
This map shows the geographic impact of M. J. Mathy'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 M. J. Mathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Mathy more than expected).
Fields of papers citing papers by M. J. Mathy
This network shows the impact of papers produced by M. J. Mathy. 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 M. J. Mathy. The network helps show where M. J. Mathy may publish in the future.
Co-authorship network of co-authors of M. J. Mathy
This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Mathy. A scholar is included among the top collaborators of M. J. Mathy 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 M. J. Mathy. M. J. Mathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 24 | |
| 6 | 13 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 411 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 35 | |
| 15 | Interference of enantiomers of lofexidine with alpha-adrenoceptors. | 3 |
| 16 | 19 | |
| 17 | Effects of urapidil on blood pressure and adrenoceptors in various animal models. | 8 |
| 18 | 15 | |
| 19 | 12 | |
| 20 | 10 |
About M. J. Mathy
M. J. Mathy is a scholar working on Biochemistry, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 693 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Neuroscience and Neuropharmacology Research (8 papers) and Nitric Oxide and Endothelin Effects (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (338 citations), Molecular Biology (486 citations) and Cardiology and Cardiovascular Medicine (160 citations). M. J. Mathy has collaborated with scholars based in Netherlands, New Zealand and Italy. Frequent co-authors include A. de Jonge, P. A. van Zwieten, H. N. Doods, D. Davidesko, K. J. van Charldorp, Pieter A. van Zwieten, Martin Pfaffendorf, P. A. van Zwieten, P.B.M.W.M. Timmermans and Mjmc Thoolen. Their work appears in journals such as The FASEB Journal, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.
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.