Magdalena Kolasa

50 total papers · 596 total citations
34 papers, 446 citations indexed

About

Magdalena Kolasa is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Magdalena Kolasa has authored 34 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 13 papers in Behavioral Neuroscience. Recurrent topics in Magdalena Kolasa's work include Neuroscience and Neuropharmacology Research (14 papers), Stress Responses and Cortisol (13 papers) and Receptor Mechanisms and Signaling (12 papers). Magdalena Kolasa is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Stress Responses and Cortisol (13 papers) and Receptor Mechanisms and Signaling (12 papers). Magdalena Kolasa collaborates with scholars based in Poland and United States. Magdalena Kolasa's co-authors include Agata Faron‐Górecka, Marta Dziedzicka‐Wasylewska, Maciej Kuśmider, Joanna Solich, Dariusz Żurawek, Paulina Pabian, Mariusz Papp, Piotr Gruca, Irena Romańska and Lucyna Antkiewicz‐Michaluk and has published in prestigious journals such as Annals of Neurology, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Magdalena Kolasa

34 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Magdalena Kolasa 173 161 142 109 61 34 446
Dariusz Żurawek 154 0.9× 183 1.1× 143 1.0× 111 1.0× 59 1.0× 28 455
Fulian Huang 120 0.7× 97 0.6× 150 1.1× 115 1.1× 86 1.4× 23 481
Aparna Shah 169 1.0× 109 0.7× 92 0.6× 113 1.0× 68 1.1× 26 527
Paulina S. Rojas 195 1.1× 120 0.7× 125 0.9× 112 1.0× 37 0.6× 14 415
Elimelech Nesher 105 0.6× 216 1.3× 130 0.9× 69 0.6× 98 1.6× 22 501
Elmira Anderzhanova 159 0.9× 127 0.8× 81 0.6× 67 0.6× 72 1.2× 28 479
Nateka L. Jackson 79 0.5× 184 1.1× 158 1.1× 105 1.0× 107 1.8× 15 441
Agnieszka Zelek-Molik 219 1.3× 157 1.0× 93 0.7× 81 0.7× 45 0.7× 33 441
Kevin Snyder 229 1.3× 115 0.7× 215 1.5× 70 0.6× 120 2.0× 23 544
Leif Hommers 109 0.6× 222 1.4× 54 0.4× 57 0.5× 25 0.4× 33 527

Countries citing papers authored by Magdalena Kolasa

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Kolasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Kolasa

This figure shows the co-authorship network connecting the top 25 collaborators of Magdalena Kolasa. A scholar is included among the top collaborators of Magdalena Kolasa 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 Magdalena Kolasa. Magdalena Kolasa 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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2026