Matteo Turetta
- Oncology top 10%
- Biomedical Engineering
- Cancer Research top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Fabio Del BenMichela BulfoniDaniela CesselliG. ScolesCarla Di LoretoAntonio Paolo BeltramiAigars PiruskaWilhelm T. S. Huck
- Topics
- Cancer Cells and Metastasis (7 papers)Cancer Genomics and Diagnostics (4 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)
- Journals
- Angewandte Chemie International EditionScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- ItalyNetherlandsAustralia
In The Last Decade
Matteo Turetta
17 papers receiving 494 citations
Peers
Comparison fields: 5 of 74
- Oncology 237
- Biomedical Engineering 185
- Cancer Research 175
- Molecular Biology 138
- Pulmonary and Respiratory Medicine 73
Countries citing papers authored by Matteo Turetta
This map shows the geographic impact of Matteo Turetta'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 Matteo Turetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Turetta more than expected).
Fields of papers citing papers by Matteo Turetta
This network shows the impact of papers produced by Matteo Turetta. 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 Matteo Turetta. The network helps show where Matteo Turetta may publish in the future.
Co-authorship network of co-authors of Matteo Turetta
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Turetta. A scholar is included among the top collaborators of Matteo Turetta 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 Matteo Turetta. Matteo Turetta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 29 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 29 | |
| 11 | 13 | |
| 12 | Microfluidic droplets content classification and analysis through convolutional neural networks in a liquid biopsy workflow. | 8 |
| 13 | 61 | |
| 14 | 128 | |
| 15 | 52 | |
| 16 | 26 | |
| 17 | 106 |
About Matteo Turetta
Matteo Turetta is a scholar working on Cancer Research, Oncology and Virology, having authored 17 papers that have together received 496 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Cancer Research (175 citations), Oncology (237 citations) and Biomedical Engineering (185 citations). Matteo Turetta has collaborated with scholars based in Italy, Netherlands and Australia. Frequent co-authors include Fabio Del Ben, Michela Bulfoni, Daniela Cesselli, G. Scoles, Carla Di Loreto, Antonio Paolo Beltrami, Aigars Piruska, Wilhelm T. S. Huck, Giorgia Celetti and Stefania Marzinotto. Their work appears in journals such as Angewandte Chemie International Edition, Scientific Reports and International Journal of Molecular Sciences.
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.