Joanna Arkusz

27 total papers · 589 total citations
23 papers, 460 citations indexed

About

Joanna Arkusz is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Immunology. According to data from OpenAlex, Joanna Arkusz has authored 23 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 8 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Joanna Arkusz's work include Carcinogens and Genotoxicity Assessment (7 papers), Retinoids in leukemia and cellular processes (4 papers) and Heavy Metal Exposure and Toxicity (4 papers). Joanna Arkusz is often cited by papers focused on Carcinogens and Genotoxicity Assessment (7 papers), Retinoids in leukemia and cellular processes (4 papers) and Heavy Metal Exposure and Toxicity (4 papers). Joanna Arkusz collaborates with scholars based in Poland, Netherlands and Sweden. Joanna Arkusz's co-authors include M. Stępnik, Jadwiga Palus, Elżbieta Dziubałtowska, K Rydzyński, Małgorzata Stańczyk, Kenneth A. Dawson, Wim H. de Jong, Anna Salvati, Iseult Lynch and Andreas Elsaesser and has published in prestigious journals such as Nano Letters, Food and Chemical Toxicology and Toxicology and Applied Pharmacology.

In The Last Decade

Joanna Arkusz

22 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Joanna Arkusz	147	113	110	89	70	23	460
Remco Derr	122 0.8×	131 1.2×	146 1.3×	113 1.3×	40 0.6×	20	472
Wook‐Joon Yu	144 1.0×	148 1.3×	111 1.0×	32 0.4×	57 0.8×	47	550
Daniëlla Ooms	172 1.2×	165 1.5×	89 0.8×	49 0.6×	87 1.2×	12	487
Jeong‐Hwan Che	119 0.8×	212 1.9×	104 0.9×	73 0.8×	49 0.7×	22	548
Miroslava Kuricová	132 0.9×	143 1.3×	190 1.7×	224 2.5×	71 1.0×	28	551
Marika Mannerström	109 0.7×	107 0.9×	120 1.1×	25 0.3×	77 1.1×	28	539
Shengxian Liang	78 0.5×	265 2.3×	142 1.3×	45 0.5×	62 0.9×	27	515
Jeffrey A. Dill	66 0.4×	136 1.2×	99 0.9×	60 0.7×	41 0.6×	24	477
H. Leppens	169 1.1×	104 0.9×	71 0.6×	25 0.3×	117 1.7×	16	457
Hirokazu Okuda	149 1.0×	216 1.9×	65 0.6×	99 1.1×	46 0.7×	16	460

Countries citing papers authored by Joanna Arkusz

Since Specialization

Citations

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

Fields of papers citing papers by Joanna Arkusz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Arkusz

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