Danuta Kowalska

41 total papers · 480 total citations
23 papers, 389 citations indexed

About

Danuta Kowalska is a scholar working on Cognitive Neuroscience, Social Psychology and Genetics. According to data from OpenAlex, Danuta Kowalska has authored 23 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 9 papers in Social Psychology and 8 papers in Genetics. Recurrent topics in Danuta Kowalska's work include Memory and Neural Mechanisms (10 papers), Neuroendocrine regulation and behavior (9 papers) and Human-Animal Interaction Studies (8 papers). Danuta Kowalska is often cited by papers focused on Memory and Neural Mechanisms (10 papers), Neuroendocrine regulation and behavior (9 papers) and Human-Animal Interaction Studies (8 papers). Danuta Kowalska collaborates with scholars based in Poland, United States and Canada. Danuta Kowalska's co-authors include Mortimer Mishkin, Jocelyne Bachevalier, Paweł Kuśmierek, K Zieliński, A Kosmal, Monika Malinowska, Matthew W. Brown, Huihui Wan, John P. Aggleton and James F. Brennan and has published in prestigious journals such as The Journal of Comparative Neurology, Neuroscience and Neuropsychologia.

In The Last Decade

Danuta Kowalska

20 papers receiving 359 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danuta Kowalska 266 90 76 56 44 23 389
Steven M. Specht 139 0.5× 122 1.4× 120 1.6× 38 0.7× 24 0.5× 10 382
L Stepień 181 0.7× 105 1.2× 40 0.5× 26 0.5× 25 0.6× 25 361
Bethany Plakke 312 1.2× 67 0.7× 30 0.4× 55 1.0× 27 0.6× 20 399
A.B. Wetzel 168 0.6× 103 1.1× 104 1.4× 15 0.3× 15 0.3× 15 438
Krista Macpherson 196 0.7× 44 0.5× 126 1.7× 40 0.7× 85 1.9× 16 342
Michael Ortiz-Rios 230 0.9× 71 0.8× 43 0.6× 28 0.5× 17 0.4× 14 426
S Brutkowski 190 0.7× 90 1.0× 83 1.1× 14 0.3× 47 1.1× 15 336
G. B. Biederman 159 0.6× 58 0.6× 70 0.9× 23 0.4× 8 0.2× 32 359
Laura Clara Grandi 131 0.5× 58 0.6× 116 1.5× 25 0.4× 74 1.7× 23 346
Lars Dittrich 196 0.7× 94 1.0× 53 0.7× 14 0.3× 11 0.3× 22 401

Countries citing papers authored by Danuta Kowalska

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Kowalska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Kowalska

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

All Works

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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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