Wanda Górnik

33 total papers · 586 total citations
25 papers, 507 citations indexed

About

Wanda Górnik is a scholar working on Oncology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Wanda Górnik has authored 25 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Molecular Biology and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Wanda Górnik's work include Drug Transport and Resistance Mechanisms (9 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Systemic Lupus Erythematosus Research (3 papers). Wanda Górnik is often cited by papers focused on Drug Transport and Resistance Mechanisms (9 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Systemic Lupus Erythematosus Research (3 papers). Wanda Górnik collaborates with scholars based in Poland, United States and Czechia. Wanda Górnik's co-authors include Marek Droździk, Mateusz Kurzawski, Andrzej Pawlik, B Gawrońska-Szklarz, Magdalena Herczyńska, Grzegorz Kurzawski, Monika Białecka, Janina Suchy, Jan Lubiński and Bogusław Czerny and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Phytomedicine and European Journal of Clinical Pharmacology.

In The Last Decade

Wanda Górnik

25 papers receiving 498 citations

Author Peers

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

Author						Papers	Cites
Wanda Górnik	184	116	103	98	92	25	507
J. Reichen	173 0.9×	75 0.6×	72 0.7×	74 0.8×	73 0.8×	34	514
Reo Tanoshima	65 0.4×	32 0.3×	135 1.3×	85 0.9×	124 1.3×	40	453
Susan Grange	189 1.0×	101 0.9×	61 0.6×	89 0.9×	18 0.2×	17	610
E Mayayo	113 0.6×	39 0.3×	136 1.3×	98 1.0×	31 0.3×	49	521
Montserrat Briz	113 0.6×	36 0.3×	40 0.4×	98 1.0×	44 0.5×	27	525
Peijin Zhang	243 1.3×	25 0.2×	139 1.3×	73 0.7×	54 0.6×	27	487
Rocío Prieto‐Pérez	92 0.5×	77 0.7×	46 0.4×	34 0.3×	30 0.3×	21	585
Konosuke Konishi	83 0.5×	122 1.1×	41 0.4×	129 1.3×	57 0.6×	36	590
E. M. Piall	142 0.8×	16 0.1×	71 0.7×	141 1.4×	177 1.9×	17	527
S. Krähenbühl	178 1.0×	30 0.3×	31 0.3×	74 0.8×	51 0.6×	21	590

Countries citing papers authored by Wanda Górnik

Since Specialization

Citations

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

Fields of papers citing papers by Wanda Górnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanda Górnik

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