John M. Bekkers
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 5%
- Cognitive Neuroscience top 1%
- Sensory Systems top 0.5%
- Cell Biology top 5%
- Co-authors
- Charles F. StevensJohn D. ClementsNorimitsu SuzukiGeorge B. RichersonChristopher A. ReidPankaj SahAndrew DelaneyKaori Ikeda
- Topics
- Neuroscience and Neuropharmacology Research (34 papers)Neural dynamics and brain function (29 papers)Neuroscience and Neural Engineering (17 papers)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
John M. Bekkers
56 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 4.2k
- Molecular Biology 2.2k
- Cognitive Neuroscience 2.1k
- Sensory Systems 676
- Cell Biology 441
Countries citing papers authored by John M. Bekkers
This map shows the geographic impact of John M. Bekkers'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 John M. Bekkers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Bekkers more than expected).
Fields of papers citing papers by John M. Bekkers
This network shows the impact of papers produced by John M. Bekkers. 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 John M. Bekkers. The network helps show where John M. Bekkers may publish in the future.
Co-authorship network of co-authors of John M. Bekkers
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Bekkers. A scholar is included among the top collaborators of John M. Bekkers 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 John M. Bekkers. John M. Bekkers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 22 | |
| 3 | 150 | |
| 4 | 75 | |
| 5 | 78 | |
| 6 | 17 | |
| 7 | 44 | |
| 8 | 43 | |
| 9 | 88 | |
| 10 | 80 | |
| 11 | 151 | |
| 12 | 97 | |
| 13 | 23 | |
| 14 | 52 | |
| 15 | 333 | |
| 16 | 136 | |
| 17 | 16 | |
| 18 | 23 | |
| 19 | 23 | |
| 20 | NMDA and non-NMDA receptors are co-localized at individual excitatory synapses in cultured rat hippocampusbreakdown → | 568 |
About John M. Bekkers
John M. Bekkers is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Cognitive Neuroscience, having authored 56 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (34 papers), Neural dynamics and brain function (29 papers) and Neuroscience and Neural Engineering (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.2k citations), Sensory Systems (676 citations) and Cognitive Neuroscience (2.1k citations). John M. Bekkers has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Charles F. Stevens, John D. Clements, Norimitsu Suzuki, George B. Richerson, Christopher A. Reid, Pankaj Sah, Andrew Delaney, Kaori Ikeda, Michael Häusser and Nikolaus G. Greeff. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.