Nicola Aceto
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 23
- Oncology top 0.5%
- Cancer Cells and Metastasis 45
- Pancreatic and Hepatic Oncology Research 4
- Immunology top 2%
- Cell Biology top 2%
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 6
- Protein Tyrosine Phosphatases 6
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- 3D Printing in Biomedical Research 9
- Microfluidic and Bio-sensing Technologies 5
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- Cancer Research and Treatments 5
- Co-authors
- Barbara M. SzczerbaIlona KrolDaniel A. HaberShyamala MaheswaranMehmet TonerFrancesc Castro-GinerSofia GkountelaChristoph Rochlitz
- Cited by
- Cancer ResearchOncologyImmunology
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Nicola Aceto
68 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 2.7k
- Oncology 4.3k
- Immunology 929
- Cell Biology 681
- Molecular Biology 2.7k
Countries citing papers authored by Nicola Aceto
This map shows the geographic impact of Nicola Aceto'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 Nicola Aceto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Aceto more than expected).
Fields of papers citing papers by Nicola Aceto
This network shows the impact of papers produced by Nicola Aceto. 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 Nicola Aceto. The network helps show where Nicola Aceto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicola Aceto, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 18 | |
| 11 | 2020 | 13 | |
| 12 | 2017 | 115 | |
| 13 | 2017 | 30 | |
| 14 | Tunable Nanostructured Coating for the Capture and Selective Release of Viable Circulating Tumor Cells | 2015 | 29 |
| 15 | Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasisbreakdown → | 2014 | 1786 |
| 16 | 2014 | 54 | |
| 17 | 2013 | 52 | |
| 18 | 2012 | 46 | |
| 19 | 2012 | 210 | |
| 20 | 2009 | 22 |
About Nicola Aceto
Nicola Aceto is a scholar working on Oncology, Cancer Research and Immunology and Allergy, having authored 69 papers that have together received 7.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (45 papers), Cancer Genomics and Diagnostics (23 papers), 3D Printing in Biomedical Research (9 papers), Single-cell and spatial transcriptomics (6 papers), Protein Tyrosine Phosphatases (6 papers), Cancer Research and Treatments (5 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Cancer Research (2.7k citations), Oncology (4.3k citations) and Immunology (929 citations). Nicola Aceto has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Barbara M. Szczerba, Ilona Krol, Daniel A. Haber, Shyamala Maheswaran, Mehmet Toner, Francesc Castro-Giner, Sofia Gkountela, Christoph Rochlitz, Marcus Vetter and William P. Weber. Their work appears in journals such as Nature, Cell and Advanced Materials.
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.