Pietro Mascheroni

662 total citations
21 papers, 375 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 21 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 9 papers in Cell Biology and 6 papers in Biomedical Engineering. Recurrent topics in Pietro Mascheroni's work include Mathematical Biology Tumor Growth (11 papers), Cellular Mechanics and Interactions (9 papers) and Ionosphere and magnetosphere dynamics (3 papers). Pietro Mascheroni is often cited by papers focused on Mathematical Biology Tumor Growth (11 papers), Cellular Mechanics and Interactions (9 papers) and Ionosphere and magnetosphere dynamics (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, Michael Meyer‐Hermann, Daniela P. Boso, Luigi Preziosi, Haralampos Hatzikirou, Paolo Decuzzi, Cinzia Stigliano and Alfio Grillo 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

20 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pietro Mascheroni United States 10 138 134 115 63 45 21 375
Isabel Brú Spain 6 246 1.8× 78 0.6× 130 1.1× 88 1.4× 175 3.9× 9 569
T. Colin France 12 56 0.4× 28 0.2× 35 0.3× 35 0.6× 56 1.2× 30 443
A. Romano Italy 12 71 0.5× 71 0.5× 27 0.2× 24 0.4× 50 1.1× 51 424
Xinfeng Liu United States 10 71 0.5× 70 0.5× 41 0.4× 74 1.2× 88 2.0× 17 378
K Hendrickson United States 10 186 1.3× 87 0.6× 39 0.3× 65 1.0× 56 1.2× 39 712
Sonia Albertos Spain 8 177 1.3× 54 0.4× 96 0.8× 81 1.3× 133 3.0× 15 623
Andrey Kolobov Russia 11 109 0.8× 48 0.4× 29 0.3× 36 0.6× 69 1.5× 60 292
Costas Strouthos United Kingdom 17 84 0.6× 184 1.4× 35 0.3× 44 0.7× 88 2.0× 41 1.0k
Andreas Jansson Sweden 13 23 0.2× 94 0.7× 9 0.1× 244 3.9× 228 5.1× 76 870
Moritz Schütte Germany 10 9 0.1× 155 1.2× 17 0.1× 44 0.7× 243 5.4× 25 460

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

20 of 20 papers shown
1.
Mascheroni, Pietro, Raimondo Penta, & J. Merodio. (2023). The impact of vascular volume fraction and compressibility of the interstitial matrix on vascularised poroelastic tissues. Biomechanics and Modeling in Mechanobiology. 22(6). 1901–1917. 4 indexed citations
2.
Mascheroni, Pietro, et al.. (2021). Improving personalized tumor growth predictions using a Bayesian combination of mechanistic modeling and machine learning. Communications Medicine. 1(1). 19–19. 18 indexed citations
3.
Khailaie, Sahamoddin, Tanmay Mitra, Arnab Bandyopadhyay, et al.. (2021). Development of the reproduction number from coronavirus SARS-CoV-2 case data in Germany and implications for political measures. BMC Medicine. 19(1). 32–32. 51 indexed citations
4.
Mascheroni, Pietro, Catherine Barentin, Charlotte Rivière, et al.. (2020). Mechanical Control of Cell Proliferation Increases Resistance to Chemotherapeutic Agents. Physical Review Letters. 125(12). 44 indexed citations
5.
Kavallaris, Nikos I., Simon Syga, Pietro Mascheroni, et al.. (2020). Entropy-driven cell decision-making predicts "fluid-to-solid" transition in multicellular systems. University of Chester's Online Research Repository (University of Chester). 5 indexed citations
6.
Mascheroni, Pietro, Michael Meyer‐Hermann, & Haralampos Hatzikirou. (2020). Investigating the Physical Effects in Bacterial Therapies for Avascular Tumors. Frontiers in Microbiology. 11. 1083–1083. 1 indexed citations
7.
Alfonso, Juan Carlos López, et al.. (2020). On the Immunological Consequences of Conventionally Fractionated Radiotherapy. iScience. 23(3). 100897–100897. 14 indexed citations
8.
Mascheroni, Pietro, Juan Carlos López Alfonso, Maria Kalli, et al.. (2019). On the Impact of Chemo-Mechanically Induced Phenotypic Transitions in Gliomas. Cancers. 11(5). 716–716. 9 indexed citations
9.
Mascheroni, Pietro & Bernhard A. Schrefler. (2018). In Silico Models for Nanomedicine: Recent Developments. Current Medicinal Chemistry. 25(34). 4192–4207. 19 indexed citations
10.
Mascheroni, Pietro, et al.. (2017). An avascular tumor growth model based on porous media mechanics and evolving natural states. Mathematics and Mechanics of Solids. 23(4). 686–712. 44 indexed citations
11.
Mascheroni, Pietro, Daniela P. Boso, Luigi Preziosi, & Bernhard A. Schrefler. (2017). Evaluating the influence of mechanical stress on anticancer treatments through a multiphase porous media model. Journal of Theoretical Biology. 421. 179–188. 21 indexed citations
12.
Mascheroni, Pietro & Raimondo Penta. (2016). The role of the microvascular network structure on diffusion and consumption of anticancer drugs. International Journal for Numerical Methods in Biomedical Engineering. 33(10). 28 indexed citations
13.
Mascheroni, Pietro, Cinzia Stigliano, Daniela P. Boso, et al.. (2016). Predicting the growth of glioblastoma multiforme spheroids using a multiphase porous media model. Biomechanics and Modeling in Mechanobiology. 15(5). 1215–1228. 55 indexed citations
14.
Mascheroni, Pietro. (2016). Mathematical modeling of avascular tumor growth. Research Padua Archive (University of Padua).
15.
Stigliano, Cinzia, et al.. (2015). The role of cell lysis and matrix deposition in tumor growth modeling. Advanced Modeling and Simulation in Engineering Sciences. 2(1). 9 indexed citations
16.
Mascheroni, Pietro, et al.. (1979). Turbulent heating studies in a tokamak. The Physics of Fluids. 22(2). 347–353. 2 indexed citations
17.
Mascheroni, Pietro. (1977). Transport during Turbulent Heating in a Tokamak. Physical Review Letters. 39(4). 197–200. 3 indexed citations
18.
Mascheroni, Pietro. (1975). Neutron Production and Second-Harmonic Generation in Laser-Target Experiments. Physical Review Letters. 34(3). 141–144. 3 indexed citations
19.
Mascheroni, Pietro. (1970). Low-Temperature Behavior for the Quantum Virial Coefficients. Physical Review Letters. 25(11). 726–730. 4 indexed citations
20.
Larsen, Sigurd Yves & Pietro Mascheroni. (1970). Quantum-Mechanical Third Virial Coefficient and Three-Body Phase Shifts. Physical review. A, General physics. 2(3). 1018–1033. 32 indexed citations

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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