Mariusz Gryko

59 total papers · 866 total citations
47 papers, 710 citations indexed

About

Mariusz Gryko is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Mariusz Gryko has authored 47 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 18 papers in Cancer Research and 14 papers in Molecular Biology. Recurrent topics in Mariusz Gryko's work include Protease and Inhibitor Mechanisms (13 papers), Inflammatory Biomarkers in Disease Prognosis (10 papers) and Peptidase Inhibition and Analysis (7 papers). Mariusz Gryko is often cited by papers focused on Protease and Inhibitor Mechanisms (13 papers), Inflammatory Biomarkers in Disease Prognosis (10 papers) and Peptidase Inhibition and Analysis (7 papers). Mariusz Gryko collaborates with scholars based in Poland, China and Lithuania. Mariusz Gryko's co-authors include Bogusław Kędra, Barbara Mroczko, Maciej Szmitkowski, Marta Łukaszewicz‐Zając, Magdalena Groblewska, Katarzyna Guzińska-Ustymowicz, A Kemonä, Anna Pryczynicz, Konrad Zaręba and Violetta Dymicka-Piekarska and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Oncotarget.

In The Last Decade

Mariusz Gryko

46 papers receiving 697 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 Gryko 419 259 206 152 122 47 710
Niki Arnogiannaki 343 0.8× 211 0.8× 250 1.2× 108 0.7× 148 1.2× 45 785
Carl Christoph Schimanski 288 0.7× 223 0.9× 334 1.6× 162 1.1× 109 0.9× 40 751
Jianbo Zhang 479 1.1× 221 0.9× 324 1.6× 205 1.3× 203 1.7× 48 877
Valeria Merz 444 1.1× 185 0.7× 350 1.7× 158 1.0× 135 1.1× 36 844
Yaewon Yang 379 0.9× 123 0.5× 256 1.2× 113 0.7× 146 1.2× 53 678
Yoshimasa Kosaka 377 0.9× 207 0.8× 360 1.7× 114 0.8× 105 0.9× 46 801
Cheng‐Lung Hsu 359 0.9× 146 0.6× 187 0.9× 177 1.2× 96 0.8× 45 875
Qi Sun 241 0.6× 272 1.1× 402 2.0× 109 0.7× 149 1.2× 42 824
Shingo Kagawa 325 0.8× 191 0.7× 327 1.6× 173 1.1× 74 0.6× 40 710
Chunhui Zhang 319 0.8× 151 0.6× 209 1.0× 108 0.7× 180 1.5× 31 631

Countries citing papers authored by Mariusz Gryko

Since Specialization
Citations

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

Fields of papers citing papers by Mariusz Gryko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariusz Gryko

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