Davide Maestrini
Impact in
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- Cancer-related molecular mechanisms research
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- CAR-T cell therapy research
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
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- Quantum, superfluid, helium dynamics 2
- Co-authors
- Hayder Salman (2 shared papers)Sergio Branciamore (3 shared papers)Russell C. Rockne (4 shared papers)Daniel Abler (3 shared papers)Prativa Sahoo (3 shared papers)Vikram Adhikarla (3 shared papers)Tom Chou (2 shared papers)Iris Dror (1 shared paper)
- Journals
- Neuro-Oncology (1 paper)Frontiers in Immunology (1 paper)Journal of The Royal Society Interface (1 paper)Cell (1 paper)Journal of Statistical Physics (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Davide Maestrini
11 papers receiving 206 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 50
- Oncology 71
- Modeling and Simulation 12
- Molecular Biology 118
- Aging 3
Countries citing papers authored by Davide Maestrini
This map shows the geographic impact of Davide Maestrini'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 Davide Maestrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Maestrini more than expected).
Fields of papers citing papers by Davide Maestrini
This network shows the impact of papers produced by Davide Maestrini. 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 Davide Maestrini. The network helps show where Davide Maestrini may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Maestrini, 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 | 2021 | 84 | |
| 2 | 2020 | 72 | |
| 3 | 2016 | 19 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 7 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2019 | 1 | |
| 9 | [The law of the heart from its discovery to the present time]. | 1958 | 1 |
| 10 | [Genesis of the so-called insufficient contractions of the heart in decompensation]. | 1951 | 1 |
| 11 | [A NEW RIGHT ELECTROCARDIOGRAM]. | 1965 | 1 |
| 12 | 2025 | 0 |
About Davide Maestrini
Davide Maestrini is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Oncology, Computational Mechanics and Cancer Research, having authored 12 papers that have together received 207 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), RNA modifications and cancer (2 papers), CAR-T cell therapy research (2 papers), RNA Research and Splicing (2 papers), Quantum, superfluid, helium dynamics (2 papers), Nonlinear Photonic Systems (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Cancer Research (50 citations), Oncology (71 citations), Modeling and Simulation (12 citations), Molecular Biology (118 citations) and Aging (3 citations). Davide Maestrini has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Hayder Salman, Sergio Branciamore, Russell C. Rockne, Daniel Abler, Prativa Sahoo, Vikram Adhikarla, Tom Chou, Iris Dror, François Dossin and Michael E. Barish. Their work appears in journals such as Neuro-Oncology, Frontiers in Immunology, Journal of The Royal Society Interface, Cell and Journal of Statistical Physics.
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.