Rafał Czajkowski

1.6k citations
33 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Neuroscience and Neuropharmacology Research (16 papers)Memory and Neural Mechanisms (9 papers)Adenosine and Purinergic Signaling (8 papers)
Partner nations
PolandItalyNorway

In The Last Decade

Rafał Czajkowski

30 papers receiving 1.1k citations

Hit Papers

Recurrent inhibitory circuitry as a mechanism for grid fo...2013202620172021201350100150200250

Peers

Rafał Czajkowski
Comparison fields: 5 of 102
  • Cognitive Neuroscience 587
  • Cellular and Molecular Neuroscience 544
  • Molecular Biology 227
  • Physiology 186
  • Neurology 100
Replace Segundo J. Guzman with:
Segundo J. Guzman Austria
Austin R. Graves United States
Nóra Szilágyi Hungary
Albrecht Sigler Germany
Masashi Umemiya Japan
Se Joon Choi United States
Jayeeta Basu United States
Satoshi Shimegi Japan
Tomomi Shindou Japan
Patrick Meuth Germany
Rafał Czajkowski relative to Segundo J. Guzman Austria Segundo J. Guzman's profile →
Citations per field
00.5×1.7×
Segundo J. Guzman · 1×
Citations per year

Countries citing papers authored by Rafał Czajkowski

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Czajkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Czajkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Rafał Czajkowski. A scholar is included among the top collaborators of Rafał Czajkowski 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 Rafał Czajkowski. Rafał Czajkowski 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 0
2 9
3 0
4 25
5 3
6 15
7 163
8 17
9 0
10 5
11 69
12
Recurrent inhibitory circuitry as a mechanism for grid formationbreakdown →
286
13 42
14 21
15 43
16 25
17 43
18 26
19 7
20 4

About Rafał Czajkowski

Rafał Czajkowski is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Memory and Neural Mechanisms (9 papers) and Adenosine and Purinergic Signaling (8 papers). The work is most often cited by research in Physiology (186 citations), Cognitive Neuroscience (587 citations) and Cellular and Molecular Neuroscience (544 citations). Rafał Czajkowski has collaborated with scholars based in Poland, Italy and Norway. Frequent co-authors include Jolanta Barańska, Menno P. Witter, Anna S. Mitchell, Sheng-Jia Zhang, Andrew J. D. Nelson, Kathryn J. Jeffery, Ningyu Zhang, Jing Ye, Jonathan J. Couey and Aree Witoelar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

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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