J Przybyslawski
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Behavioral Neuroscience top 2%
- Molecular Biology
- Social Psychology top 10%
- Co-authors
- Susan J. SaraPascal RoulletS. P. R. RoseM. ImbertRadmila MileusnićTatiana AlexinskyE. Gary-BoboM. Krupa
- Topics
- Visual perception and processing mechanisms (4 papers)Memory and Neural Mechanisms (4 papers)Neural dynamics and brain function (3 papers)
- Partner nations
- FranceUnited Kingdom
In The Last Decade
J Przybyslawski
11 papers receiving 874 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 740
- Cellular and Molecular Neuroscience 632
- Behavioral Neuroscience 191
- Molecular Biology 139
- Social Psychology 120
Countries citing papers authored by J Przybyslawski
This map shows the geographic impact of J Przybyslawski'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 Przybyslawski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Przybyslawski more than expected).
Fields of papers citing papers by J Przybyslawski
This network shows the impact of papers produced by J Przybyslawski. 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 Przybyslawski. The network helps show where J Przybyslawski may publish in the future.
Co-authorship network of co-authors of J Przybyslawski
This figure shows the co-authorship network connecting the top 25 collaborators of J Przybyslawski. A scholar is included among the top collaborators of J Przybyslawski 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 Przybyslawski. J Przybyslawski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 96 | |
| 2 | 362 | |
| 3 | 375 | |
| 4 | 29 | |
| 5 | [ON QUININE-INDUCED CONTRACTURE IN FROG STRIATED MUSCLE]. | 0 |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | [Temporal correlations and coding of information in the visual cortex of the cat]. | 1 |
| 10 | Monocular and binocular visual capacities in dark reared cats after an extended period of recovery | 1 |
| 11 | 4 | |
| 12 | 10 | |
| 13 | [Reinforcement of striated muscle jerk in frogs under the effect of acid environment]. | 1 |
About J Przybyslawski
J Przybyslawski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 13 papers that have together received 898 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (4 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Behavioral Neuroscience (191 citations), Cognitive Neuroscience (740 citations) and Cellular and Molecular Neuroscience (632 citations). J Przybyslawski has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Susan J. Sara, Pascal Roullet, S. P. R. Rose, M. Imbert, Radmila Mileusnić, Tatiana Alexinsky, E. Gary-Bobo, M. Krupa and R. Lestienne. Their work appears in journals such as Journal of Neuroscience, Behavioural Brain Research and Neuroscience Letters.
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.