J. J. Beckeringh
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience
- Physiology
- Geriatrics and Gerontology top 5%
- Co-authors
- Jacqueline G. HugtenburgO.‐E. BroddeH.–R. ZerkowskiMartin C. MichelPetra J. M. EldersN. DoetschChristel C. L. M. BoonsSander D. Borgsteede
- Topics
- Receptor Mechanisms and Signaling (7 papers)Neuroscience and Neuropharmacology Research (5 papers)Cardiac Ischemia and Reperfusion (4 papers)
- Journals
- Journal of Pharmacology and Experimental TherapeuticsBritish Journal of PharmacologyAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- NetherlandsGermanyNew Zealand
In The Last Decade
J. J. Beckeringh
17 papers receiving 499 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 255
- Cardiology and Cardiovascular Medicine 192
- Cellular and Molecular Neuroscience 123
- Physiology 119
- Geriatrics and Gerontology 86
Countries citing papers authored by J. J. Beckeringh
This map shows the geographic impact of J. J. Beckeringh'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 J. J. Beckeringh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. J. Beckeringh more than expected).
Fields of papers citing papers by J. J. Beckeringh
This network shows the impact of papers produced by J. J. Beckeringh. 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 J. J. Beckeringh. The network helps show where J. J. Beckeringh may publish in the future.
Co-authorship network of co-authors of J. J. Beckeringh
This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Beckeringh. A scholar is included among the top collaborators of J. J. Beckeringh 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 J. J. Beckeringh. J. J. Beckeringh 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 | 98 | |
| 3 | 48 | |
| 4 | 14 | |
| 5 | 7 | |
| 6 | In vitro models of cardiac ischaemia and the evaluation of the cardioprotective effects of calcium antagonists and other anti-ischaemic drugs | 3 |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 37 | |
| 10 | 93 | |
| 11 | 25 | |
| 12 | 30 | |
| 13 | 8 | |
| 14 | 36 | |
| 15 | 26 | |
| 16 | 27 | |
| 17 | 51 |
About J. J. Beckeringh
J. J. Beckeringh is a scholar working on Geriatrics and Gerontology, Family Practice and Animal Science and Zoology, having authored 17 papers that have together received 520 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Cardiac Ischemia and Reperfusion (4 papers). The work is most often cited by research in Family Practice (80 citations), Geriatrics and Gerontology (86 citations) and Cardiology and Cardiovascular Medicine (192 citations). J. J. Beckeringh has collaborated with scholars based in Netherlands, Germany and New Zealand. Frequent co-authors include Jacqueline G. Hugtenburg, O.‐E. Brodde, H.–R. Zerkowski, Martin C. Michel, Petra J. M. Elders, N. Doetsch, Christel C. L. M. Boons, Sander D. Borgsteede, Giel Nijpels and Danielle M. van der Laan. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and American Journal of Physiology-Heart and Circulatory 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.