Pietro Mascheroni

45 total papers · 644 total citations
20 papers, 362 citations indexed

About

Pietro Mascheroni is a scholar working on Modeling and Simulation, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Pietro Mascheroni has authored 20 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 8 papers in Cell Biology and 6 papers in Biomedical Engineering. Recurrent topics in Pietro Mascheroni's work include Mathematical Biology Tumor Growth (10 papers), Cellular Mechanics and Interactions (8 papers) and Magnetic confinement fusion research (3 papers). Pietro Mascheroni is often cited by papers focused on Mathematical Biology Tumor Growth (10 papers), Cellular Mechanics and Interactions (8 papers) and Magnetic confinement fusion research (3 papers). Pietro Mascheroni collaborates with scholars based in United States, Germany and Italy. Pietro Mascheroni's co-authors include Bernhard A. Schrefler, Sigurd Yves Larsen, Raimondo Penta, Luigi Preziosi, Daniela P. Boso, Michael Meyer‐Hermann, Haralampos Hatzikirou, Alfio Grillo, Paolo Decuzzi and Cinzia Stigliano and has published in prestigious journals such as Physical Review Letters, Frontiers in Microbiology and Journal of Theoretical Biology.

In The Last Decade

Pietro Mascheroni

19 papers receiving 356 citations

Author Peers

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

Author Last Decade Papers Cites
Pietro Mascheroni 134 131 111 61 41 20 362
Xinfeng Liu 71 0.5× 70 0.5× 41 0.4× 75 1.2× 88 2.1× 17 378
Sophia Maggelakis 243 1.8× 34 0.3× 94 0.8× 73 1.2× 105 2.6× 21 346
Michael G. Watson 80 0.6× 41 0.3× 36 0.3× 31 0.5× 91 2.2× 14 361
Dietmar Oelz 95 0.7× 38 0.3× 176 1.6× 9 0.1× 99 2.4× 36 363
Mark B. Flegg 101 0.8× 45 0.3× 25 0.2× 9 0.1× 251 6.1× 26 353
Osman N. Yoğurtçu 26 0.2× 44 0.3× 97 0.9× 59 1.0× 207 5.0× 26 381
Zeina S. Khan 27 0.2× 122 0.9× 65 0.6× 29 0.5× 51 1.2× 18 377
Sumanth Swaminathan 15 0.1× 90 0.7× 119 1.1× 5 0.1× 28 0.7× 15 348
Hartmut Schwetlick 50 0.4× 13 0.1× 43 0.4× 7 0.1× 66 1.6× 24 306
Kathleen P. Wilkie 108 0.8× 23 0.2× 17 0.2× 111 1.8× 115 2.8× 18 357

Countries citing papers authored by Pietro Mascheroni

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Mascheroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Mascheroni

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