Paula Zaręba

39 total papers · 497 total citations
31 papers, 385 citations indexed

About

Paula Zaręba is a scholar working on Pharmacology, Molecular Biology and Physiology. According to data from OpenAlex, Paula Zaręba has authored 31 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pharmacology, 15 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Paula Zaręba's work include Cholinesterase and Neurodegenerative Diseases (14 papers), Computational Drug Discovery Methods (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Paula Zaręba is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (14 papers), Computational Drug Discovery Methods (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Paula Zaręba collaborates with scholars based in Poland, Germany and Slovenia. Paula Zaręba's co-authors include Barbara Malawska, Kinga Sałat, Justyna Godyń, Katarzyna Kulig, Adrian Podkowa, Anna Więckowska, Monika Marcinkowska, Marek Bajda, Monika Głuch‐Lutwin and Krzysztof Więckowski and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and European Journal of Pharmacology.

In The Last Decade

Paula Zaręba

31 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Paula Zaręba	215	162	142	101	100	31	385
Francinaldo Sarges Braga	92 0.4×	93 0.6×	94 0.7×	90 0.9×	72 0.7×	20	345
Beyza Ayazgök	230 1.1×	175 1.1×	72 0.5×	78 0.8×	171 1.7×	19	379
Chandran Remya	145 0.7×	103 0.6×	129 0.9×	50 0.5×	110 1.1×	31	346
Lenka Hromádková	127 0.6×	51 0.3×	155 1.1×	160 1.6×	37 0.4×	20	385
Baichen Xiong	224 1.0×	153 0.9×	139 1.0×	67 0.7×	87 0.9×	13	436
Gurjit Singh	127 0.6×	35 0.2×	120 0.8×	83 0.8×	116 1.2×	25	430
Ahmad Mohammadi-Farani	95 0.4×	53 0.3×	79 0.6×	46 0.5×	119 1.2×	36	343
Agnieszka Jankowska	121 0.6×	38 0.2×	214 1.5×	63 0.6×	62 0.6×	25	349
Sandra Gunesch	214 1.0×	109 0.7×	145 1.0×	72 0.7×	59 0.6×	11	376
Khalid Al Balushi	101 0.5×	60 0.4×	96 0.7×	100 1.0×	53 0.5×	22	374

Countries citing papers authored by Paula Zaręba

Since Specialization

Citations

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

Fields of papers citing papers by Paula Zaręba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Zaręba

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