Aleksandra Właź

51 total papers · 893 total citations
46 papers, 739 citations indexed

About

Aleksandra Właź is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Psychiatry and Mental health. According to data from OpenAlex, Aleksandra Właź has authored 46 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 19 papers in Pharmacology and 18 papers in Psychiatry and Mental health. Recurrent topics in Aleksandra Właź's work include Neuroscience and Neuropharmacology Research (21 papers), Tryptophan and brain disorders (14 papers) and Epilepsy research and treatment (12 papers). Aleksandra Właź is often cited by papers focused on Neuroscience and Neuropharmacology Research (21 papers), Tryptophan and brain disorders (14 papers) and Epilepsy research and treatment (12 papers). Aleksandra Właź collaborates with scholars based in Poland, Singapore and Germany. Aleksandra Właź's co-authors include Piotr Właź, Ewa Poleszak, Jarogniew J. Łuszczki, Andrzej Wróbel, Gabriel Nowak, Anna Serefko, Magdalena Florek-Łuszczki, Sylwia Wośko, Aleksandra Szopa and Urszula Doboszewska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Aleksandra Właź

45 papers receiving 718 citations

Author Peers

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

Author Last Decade Papers Cites
Aleksandra Właź 332 216 186 184 164 46 739
Fernanda Costa Nunes 204 0.6× 119 0.6× 67 0.4× 153 0.8× 72 0.4× 59 697
Camila O. Arent 192 0.6× 99 0.5× 236 1.3× 256 1.4× 296 1.8× 34 839
Hakan Kayır 453 1.4× 102 0.5× 87 0.5× 329 1.8× 87 0.5× 58 900
Deusa Vendite 371 1.1× 93 0.4× 69 0.4× 235 1.3× 121 0.7× 40 893
M. N. Subhash 318 1.0× 112 0.5× 187 1.0× 250 1.4× 73 0.4× 45 870
Hans‐Willi Clement 201 0.6× 68 0.3× 135 0.7× 165 0.9× 91 0.6× 30 666
Samuel Eiduson 230 0.7× 54 0.3× 127 0.7× 252 1.4× 127 0.8× 43 820
Roberto Farina Almeida 191 0.6× 60 0.3× 53 0.3× 183 1.0× 123 0.8× 42 676
Tanveer Singh 228 0.7× 80 0.4× 144 0.8× 188 1.0× 82 0.5× 59 795
Arash Bahremand 342 1.0× 136 0.6× 189 1.0× 203 1.1× 29 0.2× 27 697

Countries citing papers authored by Aleksandra Właź

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Właź

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Właź

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Właź. A scholar is included among the top collaborators of Aleksandra Właź 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 Aleksandra Właź. Aleksandra Właź 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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