Francesca Rivello

485 citations
5 papers · 354 · h-index 5

Impact in

    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Capillary Electrophoresis Applications
    • Microfluidic and Bio-sensing Technologies
    • 3D Printing in Biomedical Research
    • Biosensors and Analytical Detection

Papers in

    • Single-cell and spatial transcriptomics 3
    • Gene Regulatory Network Analysis 1
    • Immunotherapy and Immune Responses 1

Francesca Rivello

5 papers receiving 349 citations

Peers

Francesca Rivello
Comparison fields: 5 of 52
  • Biomedical Engineering 218
  • Biophysics 17
  • Cancer Research 38
  • Molecular Biology 166
  • Oncology 36
Replace Noa Cohen with:
Noa Cohen United States
Anna Fomitcheva Khartchenko Switzerland
Maria Hammond Sweden
Julien Autebert France
Melpomeni Kalofonou United Kingdom
Mani Hamidi Canada
Udara Dharmasiri United States
Cem Albayrak United States
Diego Dupouy Switzerland
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Citations per field
00.5×2.9×
Noa Cohen · 1×
Citations per year

Countries citing papers authored by Francesca Rivello

Since Specialization
Citations

This map shows the geographic impact of Francesca Rivello'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 Francesca Rivello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Rivello more than expected).

Fields of papers citing papers by Francesca Rivello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Rivello. 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 Francesca Rivello. The network helps show where Francesca Rivello may publish in the future.

Co-authors

The 13 scholars most cited alongside Francesca Rivello, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Rivello Line = papers co-authored together Francesca Rivello links everyone, so they are left out of the graph.

All Works

About Francesca Rivello

Francesca Rivello is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Information Systems and Management and Oncology, having authored 5 papers that have together received 354 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Scientific Computing and Data Management (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper), Gene Regulatory Network Analysis (1 paper), Immunotherapy and Immune Responses (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Biomedical Engineering (218 citations), Biophysics (17 citations), Cancer Research (38 citations), Molecular Biology (166 citations) and Oncology (36 citations). Francesca Rivello has collaborated with scholars based in Netherlands. Frequent co-authors include Wilhelm T. S. Huck, Kinga Matuła, Klaas W. Mulder, Aigars Piruska, Niven Mehra, Sabine E.J. Tanis, Minke Smits, Jan P. Gerlach, Mauro J. Muraro and Alexander van Oudenaarden. Their work appears in journals such as Advanced Biosystems, Scientific Reports, Cell Reports Methods and Science Advances.

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.

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