Mariusz Butkiewicz

36 total papers · 3.9k total citations
17 papers, 231 citations indexed

About

Mariusz Butkiewicz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mariusz Butkiewicz has authored 17 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mariusz Butkiewicz's work include Computational Drug Discovery Methods (9 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). Mariusz Butkiewicz is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). Mariusz Butkiewicz collaborates with scholars based in United States and Germany. Mariusz Butkiewicz's co-authors include Jens Meiler, Edward W. Lowe, Ralf Mueller, C. David Weaver, William S. Bush, Jeffrey Mendenhall, Pedro L. Teixeira, Eric S. Dawson, Craig W. Lindsley and Dana C. Crawford and has published in prestigious journals such as Bioinformatics, Molecules and Frontiers in Pharmacology.

In The Last Decade

Mariusz Butkiewicz

17 papers receiving 229 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 Butkiewicz 138 111 55 42 25 17 231
Manon Réau 205 1.5× 161 1.5× 69 1.3× 19 0.5× 23 0.9× 11 310
Steven A. Combs 241 1.7× 84 0.8× 68 1.2× 16 0.4× 15 0.6× 10 324
Timothy Sheils 220 1.6× 127 1.1× 19 0.3× 28 0.7× 13 0.5× 12 309
Jintu Zhang 176 1.3× 155 1.4× 74 1.3× 14 0.3× 21 0.8× 15 255
Xin‐Yi Chu 243 1.8× 71 0.6× 22 0.4× 16 0.4× 14 0.6× 23 330
V.L. Linhard 178 1.3× 40 0.4× 27 0.5× 22 0.5× 19 0.8× 17 280
Morgan Thomas 170 1.2× 118 1.1× 74 1.3× 15 0.4× 10 0.4× 21 293
Steven Shave 201 1.5× 74 0.7× 31 0.6× 10 0.2× 16 0.6× 25 322
Aleksandar Poleksić 242 1.8× 117 1.1× 43 0.8× 18 0.4× 11 0.4× 25 323
Zamara Mariam 119 0.9× 106 1.0× 22 0.4× 8 0.2× 36 1.4× 12 278

Countries citing papers authored by Mariusz Butkiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Mariusz Butkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariusz Butkiewicz

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