Caterina Guiot
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 16
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies 11
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery 10
- Biomedical Engineering top 5%
- Ultrasound and Hyperthermia Applications 17
- Photoacoustic and Ultrasonic Imaging 12
- Nanoplatforms for cancer theranostics 7
- Rehabilitation top 5%
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- Cellular Mechanics and Interactions 7
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- Prostate Cancer Diagnosis and Treatment 7
- Co-authors
- Roberta CavalliPier Paolo DelsantoThomas S. DeisboeckIlaria SturaP. GabrieleTullia TodrosMonica ArgenzianoEleonora Ficiarà
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Caterina Guiot
112 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 152
- Modeling and Simulation 260
- Obstetrics and Gynecology 206
- Biomaterials 324
- Biomedical Engineering 655
- Rehabilitation 100
Countries citing papers authored by Caterina Guiot
This map shows the geographic impact of Caterina Guiot'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 Caterina Guiot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caterina Guiot more than expected).
Fields of papers citing papers by Caterina Guiot
This network shows the impact of papers produced by Caterina Guiot. 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 Caterina Guiot. The network helps show where Caterina Guiot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Caterina Guiot, 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 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 28 | |
| 7 | A New Predictive Tool for the Post-surgical Risk of Recurrence of Prostate Cancer Potentially Unveiling Hidden Residual Disease | 2017 | 1 |
| 8 | 2015 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2015 | 39 | |
| 11 | 2014 | 5 | |
| 12 | 2014 | 4 | |
| 13 | 2011 | 21 | |
| 14 | 2010 | 10 | |
| 15 | 2007 | 12 | |
| 16 | 2006 | 16 | |
| 17 | 2005 | 18 | |
| 18 | 2002 | 6 | |
| 19 | 1992 | 34 | |
| 20 | 1990 | 18 |
About Caterina Guiot
Caterina Guiot is a scholar working on Modeling and Simulation, Obstetrics and Gynecology and Biomaterials, having authored 115 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (17 papers), Mathematical Biology Tumor Growth (16 papers), Photoacoustic and Ultrasonic Imaging (12 papers), Pregnancy and preeclampsia studies (11 papers), Nanoparticle-Based Drug Delivery (10 papers), Cellular Mechanics and Interactions (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Modeling and Simulation (260 citations), Obstetrics and Gynecology (206 citations) and Biomaterials (324 citations). Caterina Guiot has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Roberta Cavalli, Pier Paolo Delsanto, Thomas S. Deisboeck, Ilaria Stura, P. Gabriele, Tullia Todros, Monica Argenziano, Eleonora Ficiarà, Federico D’Agata and Ornella Abollino. Their work appears in journals such as Physical Review Letters, Applied Physics Letters and PLoS ONE.
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.