Rafał Biedroń

23 total papers · 959 total citations
23 papers, 822 citations indexed

About

Rafał Biedroń is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Rafał Biedroń has authored 23 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 11 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Rafał Biedroń's work include Immune Response and Inflammation (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). Rafał Biedroń is often cited by papers focused on Immune Response and Inflammation (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). Rafał Biedroń collaborates with scholars based in Poland, United Kingdom and Canada. Rafał Biedroń's co-authors include Janusz Marcinkiewicz, Marta Ciszek‐Lenda, Małgorzata Bobek, Benny Chain, Szczepan Zapotoczny, Maria Nowakowska, Szczepan Józefowski, Cheryl Lai-Lai Chiang, Zofia Prokopowicz and Frederick Arce and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and European Journal of Pharmacology.

In The Last Decade

Rafał Biedroń

23 papers receiving 807 citations

Author Peers

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

Author Last Decade Papers Cites
Rafał Biedroń 229 229 216 162 148 23 822
Albert S. Keston 366 1.6× 104 0.5× 77 0.4× 124 0.8× 84 0.6× 25 931
Marta Ciszek‐Lenda 242 1.1× 165 0.7× 210 1.0× 116 0.7× 128 0.9× 26 721
Kees Versluis 317 1.4× 189 0.8× 130 0.6× 76 0.5× 28 0.2× 22 866
Holger Spalteholz 422 1.8× 254 1.1× 237 1.1× 172 1.1× 70 0.5× 15 777
Nina Dickerhof 399 1.7× 372 1.6× 35 0.2× 136 0.8× 109 0.7× 37 975
William Nowatzke 554 2.4× 96 0.4× 76 0.4× 101 0.6× 59 0.4× 30 1.0k
Chi‐Chi Chou 552 2.4× 80 0.3× 169 0.8× 42 0.3× 57 0.4× 41 1.0k
Giovanni Di Sabato 427 1.9× 134 0.6× 87 0.4× 54 0.3× 78 0.5× 35 776
Hye Rim Kim 258 1.1× 54 0.2× 234 1.1× 59 0.4× 99 0.7× 28 737
Joanne Charlwood 628 2.7× 87 0.4× 214 1.0× 141 0.9× 28 0.2× 30 842

Countries citing papers authored by Rafał Biedroń

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Biedroń

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Biedroń

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