Eva Pastalkova

5.2k citations
22 papers · 3.3k indexed · 2 hit papers · h-index 15
Topics
Memory and Neural Mechanisms (18 papers)Neuroscience and Neuropharmacology Research (15 papers)Neural dynamics and brain function (7 papers)

In The Last Decade

Eva Pastalkova

21 papers receiving 3.2k citations

Hit Papers

Internally Generated Cell Assembly Sequences in the Rat H...200620262012201920082006250500750

Peers

Eva Pastalkova
Comparison fields: 5 of 115
  • Cognitive Neuroscience 2.6k
  • Cellular and Molecular Neuroscience 2.3k
  • Molecular Biology 358
  • Neurology 243
  • Developmental Neuroscience 131
Replace Michael C. Quirk with:
Michael C. Quirk United States
John F. Smiley United States
Michael London Israel
George Drăgoi United States
Hua Hu China
Emilio Kropff Argentina
Balázs Hangya Hungary
Matthew Wilson United States
Tomoki Fukai Japan
Alison L. Barth United States
Eva Pastalkova relative to Michael C. Quirk United States Michael C. Quirk's profile →
Citations per field
00.5×1.5×
Michael C. Quirk · 1×
Citations per year

Countries citing papers authored by Eva Pastalkova

Since Specialization
Citations

This map shows the geographic impact of Eva Pastalkova'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 Eva Pastalkova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Pastalkova more than expected).

Fields of papers citing papers by Eva Pastalkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Pastalkova. 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 Eva Pastalkova. The network helps show where Eva Pastalkova may publish in the future.

Co-authorship network of co-authors of Eva Pastalkova

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Pastalkova. A scholar is included among the top collaborators of Eva Pastalkova 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 Eva Pastalkova. Eva Pastalkova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 17
4 14
5 192
6 194
7 2
8 230
9 105
10 286
11 93
12 6
13 492
14 40
15
Storage of Spatial Information by the Maintenance Mechanism of LTPbreakdown →
637
16 22
17 71
18 18
19 7
20 11

About Eva Pastalkova

Eva Pastalkova is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 22 papers that have together received 3.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (18 papers), Neuroscience and Neuropharmacology Research (15 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Cellular and Molecular Neuroscience (2.3k citations) and Behavioral Neuroscience (124 citations). Eva Pastalkova has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include György Buzsáki, Vladimir Itskov, Kenji Mizuseki, Asohan Amarasingham, Kamran Diba, André A. Fenton, Anton Sirota, Todd Charlton Sacktor, Peter A. Serrano and Carina Curto. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

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.

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