Mariusz Matyszewski

34 total papers · 619 total citations
10 papers, 417 citations indexed

About

Mariusz Matyszewski is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Mariusz Matyszewski has authored 10 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Cell Biology. Recurrent topics in Mariusz Matyszewski's work include Inflammasome and immune disorders (4 papers), interferon and immune responses (3 papers) and Immune Response and Inflammation (3 papers). Mariusz Matyszewski is often cited by papers focused on Inflammasome and immune disorders (4 papers), interferon and immune responses (3 papers) and Immune Response and Inflammation (3 papers). Mariusz Matyszewski collaborates with scholars based in United States, India and United Kingdom. Mariusz Matyszewski's co-authors include Jungsan Sohn, Seamus R. Morrone, Edward H. Egelman, Xiong Yu, Michael Delannoy, Samara L. Reck‐Peterson, David Snead, Andrés E. Leschziner, Indrajit Lahiri and Jan Böhning and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mariusz Matyszewski

10 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Mariusz Matyszewski 307 169 105 51 38 10 417
Ajoy Kumar Samraj 265 0.9× 75 0.4× 39 0.4× 24 0.5× 19 0.5× 12 409
Cécile Sauvanet 342 1.1× 31 0.2× 37 0.4× 147 2.9× 46 1.2× 15 491
Chrystelle Lacroix 241 0.8× 31 0.2× 84 0.8× 12 0.2× 15 0.4× 9 456
Adi Minis 270 0.9× 93 0.6× 23 0.2× 94 1.8× 38 1.0× 10 459
Zhiliang Cheng 320 1.0× 75 0.4× 17 0.2× 151 3.0× 142 3.7× 14 486
Michele Fontaine 113 0.4× 113 0.7× 22 0.2× 34 0.7× 77 2.0× 9 421
Naoki Kurihara 200 0.7× 129 0.8× 52 0.5× 29 0.6× 33 0.9× 9 486
Lung‐Yu Liang 384 1.3× 155 0.9× 17 0.2× 108 2.1× 36 0.9× 11 476
Fabienne Bejjani 227 0.7× 52 0.3× 18 0.2× 24 0.5× 23 0.6× 11 376
Shigemi Sasawatari 205 0.7× 178 1.1× 57 0.5× 69 1.4× 47 1.2× 16 440

Countries citing papers authored by Mariusz Matyszewski

Since Specialization
Citations

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

Fields of papers citing papers by Mariusz Matyszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariusz Matyszewski

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