Joanna Radzikowska

25 total papers · 676 total citations
22 papers, 529 citations indexed

About

Joanna Radzikowska is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joanna Radzikowska has authored 22 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 9 papers in Health, Toxicology and Mutagenesis and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joanna Radzikowska's work include Carcinogens and Genotoxicity Assessment (9 papers), Effects and risks of endocrine disrupting chemicals (8 papers) and Sarcoma Diagnosis and Treatment (5 papers). Joanna Radzikowska is often cited by papers focused on Carcinogens and Genotoxicity Assessment (9 papers), Effects and risks of endocrine disrupting chemicals (8 papers) and Sarcoma Diagnosis and Treatment (5 papers). Joanna Radzikowska collaborates with scholars based in Poland, Norway and United States. Joanna Radzikowska's co-authors include Małgorzata M. Dobrzyńska, Aneta Gajowik, Anna Lankoff, Marcin Kruszewski, Mária Dušinská, Katarzyna Dziendzikowska, Gunnar Brunborg, Christine Instanes, Joanna Gromadzka-Ostrowska and Maria Wojewódzka and has published in prestigious journals such as Toxicology, Toxicology Letters and Journal of Clinical Medicine.

In The Last Decade

Joanna Radzikowska

21 papers receiving 516 citations

Author Peers

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

Author						Papers	Cites
Joanna Radzikowska	235	207	97	66	65	22	529
Aneta Gajowik	174 0.7×	208 1.0×	64 0.7×	19 0.3×	50 0.8×	19	467
Ji Wang	150 0.6×	145 0.7×	52 0.5×	61 0.9×	42 0.6×	29	569
Akmal A. El-Ghor	110 0.5×	89 0.4×	89 0.9×	22 0.3×	40 0.6×	25	485
Hirokazu Okuda	216 0.9×	149 0.7×	99 1.0×	30 0.5×	25 0.4×	16	460
Hisayo Kubota	176 0.7×	81 0.4×	45 0.5×	41 0.6×	21 0.3×	25	456
Miroslava Kuricová	143 0.6×	132 0.6×	224 2.3×	32 0.5×	36 0.6×	28	551
Jodie Pietruska	102 0.4×	154 0.7×	47 0.5×	100 1.5×	17 0.3×	13	475
Eun Jin Lim	66 0.3×	95 0.5×	54 0.6×	49 0.7×	20 0.3×	23	592
Hui Liu	127 0.5×	63 0.3×	130 1.3×	39 0.6×	54 0.8×	16	590
Yifan Hong	159 0.7×	72 0.3×	51 0.5×	22 0.3×	174 2.7×	34	609

Countries citing papers authored by Joanna Radzikowska

Since Specialization

Citations

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

Fields of papers citing papers by Joanna Radzikowska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Radzikowska

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