Marek Bekisz
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Social Psychology
- Cell Biology
- Co-authors
- Andrzej WróbelJan KamińskiWioletta J. WaleszczykJerzy W. MozrzymasEwa KublikElżbieta JanuszewiczKatarzyna A. NałęczEwelina Knapska
- Topics
- Neural dynamics and brain function (13 papers)Neuroscience and Neuropharmacology Research (9 papers)Photoreceptor and optogenetics research (4 papers)
In The Last Decade
Marek Bekisz
22 papers receiving 391 citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 244
- Cellular and Molecular Neuroscience 151
- Molecular Biology 74
- Social Psychology 34
- Cell Biology 33
Countries citing papers authored by Marek Bekisz
This map shows the geographic impact of Marek Bekisz'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 Marek Bekisz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Bekisz more than expected).
Fields of papers citing papers by Marek Bekisz
This network shows the impact of papers produced by Marek Bekisz. 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 Marek Bekisz. The network helps show where Marek Bekisz may publish in the future.
Co-authorship network of co-authors of Marek Bekisz
This figure shows the co-authorship network connecting the top 25 collaborators of Marek Bekisz. A scholar is included among the top collaborators of Marek Bekisz 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 Marek Bekisz. Marek Bekisz 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 | 3 | |
| 3 | 29 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 58 | |
| 9 | 24 | |
| 10 | 26 | |
| 11 | 11 | |
| 12 | 59 | |
| 13 | Attention related beta activity in the lateral-posterior nucleus of the cat | 1 |
| 14 | 16 | |
| 15 | 38 | |
| 16 | Coincidence of oscillatory activity within beta and gamma range in the cortico- thalamic system of cats attending to visual stimuli | 1 |
| 17 | 38 | |
| 18 | 19 | |
| 19 | 11 | |
| 20 | 20 Hz rhythm of activity in visual system of perceiving cat. | 35 |
About Marek Bekisz
Marek Bekisz is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 22 papers that have together received 395 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Neuroscience and Neuropharmacology Research (9 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Cognitive Neuroscience (244 citations), Cellular and Molecular Neuroscience (151 citations) and Behavioral Neuroscience (20 citations). Marek Bekisz has collaborated with scholars based in Poland, Canada and Sweden. Frequent co-authors include Andrzej Wróbel, Jan Kamiński, Wioletta J. Waleszczyk, Jerzy W. Mozrzymas, Ewa Kublik, Elżbieta Januszewicz, Katarzyna A. Nałęcz, Ewelina Knapska, Grzegorz M. Wilczyński and Tomasz Wójtowicz. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Current Biology.
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.