Pietro Mascheroni
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 11
- Cell Biology top 10%
- Cellular Mechanics and Interactions 9
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- Elasticity and Material Modeling 2
- 3D Printing in Biomedical Research 2
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- Cancer Cells and Metastasis 2
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- Ionosphere and magnetosphere dynamics 3
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- Magnetic confinement fusion research 3
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- Cold Atom Physics and Bose-Einstein Condensates 2
- Co-authors
- Bernhard A. SchreflerSigurd Yves LarsenRaimondo PentaMichael Meyer‐HermannHaralampos HatzikirouLuigi PreziosiDaniela P. BosoAlfio Grillo
- Journals
- Physical Review Letters (4 papers)Biomechanics and Modeling in Mechanobiology (2 papers)iScience (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Pietro Mascheroni
20 papers receiving 369 citations
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 138
- Cell Biology 115
- Biomedical Engineering 134
- Oncology 63
- Computational Theory and Mathematics 34
Countries citing papers authored by Pietro Mascheroni
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
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
The 25 scholars most cited alongside Pietro Mascheroni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2021 | 18 | |
| 3 | 2021 | 51 | |
| 4 | 2020 | 44 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 9 | |
| 9 | 2018 | 19 | |
| 10 | 2017 | 44 | |
| 11 | 2017 | 21 | |
| 12 | 2016 | 55 | |
| 13 | Mathematical modeling of avascular tumor growth | 2016 | 0 |
| 14 | 2016 | 28 | |
| 15 | 2015 | 9 | |
| 16 | 1979 | 2 | |
| 17 | 1977 | 3 | |
| 18 | 1977 | 9 | |
| 19 | 1970 | 4 | |
| 20 | 1970 | 32 |
About Pietro Mascheroni
Pietro Mascheroni is a scholar working on Modeling and Simulation, Cell Biology and Nuclear and High Energy Physics, having authored 21 papers that have together received 375 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (11 papers), Cellular Mechanics and Interactions (9 papers), Ionosphere and magnetosphere dynamics (3 papers), Magnetic confinement fusion research (3 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), Cancer Cells and Metastasis (2 papers), Elasticity and Material Modeling (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Modeling and Simulation (138 citations), Cell Biology (115 citations) and Biomedical Engineering (134 citations). Pietro Mascheroni has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Bernhard A. Schrefler, Sigurd Yves Larsen, Raimondo Penta, Michael Meyer‐Hermann, Haralampos Hatzikirou, Luigi Preziosi, Daniela P. Boso, Alfio Grillo, Cinzia Stigliano and Paolo Decuzzi. Their work appears in journals such as Physical Review Letters, Biomechanics and Modeling in Mechanobiology, iScience, Mathematics and Mechanics of Solids and BMC Medicine.
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.