Vito Quaranta

21.2k citations
220 papers · 15.9k indexed · 5 hit papers · h-index 66

Vito Quaranta

217 papers receiving 15.5k citations

Hit Papers

Molecular subtype...71819942026200420152505007501000

Peers

Vito Quaranta
Comparison fields: 5 of 166
  • Immunology and Allergy 5.3k
  • Modeling and Simulation 1.1k
  • Cell Biology 3.6k
  • Cancer Research 3.1k
  • Oncology 3.6k
Replace Peter Friedl with:
Peter Friedl Germany
John S. Condeelis United States
Valerie M. Weaver United States
Lance L. Munn United States
Mina J. Bissell United States
Sui Huang United States
Erik Sahai United Kingdom
Isaiah J. Fidler United States
Joan S. Brugge United States
Meenhard Herlyn United States
Vito Quaranta relative to Peter Friedl Germany Peter Friedl's profile →
Citations per field
00.5×1.5×
Peter Friedl · 1×
Citations per year

Countries citing papers authored by Vito Quaranta

Since Specialization
Citations

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

Fields of papers citing papers by Vito Quaranta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vito Quaranta, 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 Vito Quaranta Line = papers co-authored together Vito Quaranta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20233
4 20215
5 202159
6 202017
7 20209
8 201717
9 201659
10 201624
11 201270
12 200946
13 200966
14 2009115
15 2009123
16
Conditionally active STAT1 and its functional role in tumor progression and invasion
20061
17
Tumor Morphology and Phenotypic Evolution Driven by Selective Pressure from the Microenvironmentbreakdown →
2006553
18 200268
19
Role of cell surface metalloproteinase MT1-MMP in epithelial cell migration over laminin-5
20016
20 199768

About Vito Quaranta

Vito Quaranta is a scholar working on Immunology and Allergy, Modeling and Simulation, Cell Biology, Cancer Research and Immunology, having authored 220 papers that have together received 15.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (86 papers), Monoclonal and Polyclonal Antibodies Research (42 papers), Cellular Mechanics and Interactions (35 papers), Mathematical Biology Tumor Growth (25 papers), Protease and Inhibitor Mechanisms (23 papers), Cancer Cells and Metastasis (18 papers), T-cell and B-cell Immunology (17 papers) and Immunotherapy and Immune Responses (17 papers). The work is most often cited by research in Immunology and Allergy (5.3k citations), Modeling and Simulation (1.1k citations), Cell Biology (3.6k citations), Cancer Research (3.1k citations) and Oncology (3.6k citations). Vito Quaranta has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Gianluigi Giannelli, Alexander R.A. Anderson, Richard N. Tamura, William G. Stetler‐Stevenson, Helen Cooper, Naohiko Koshikawa, O Schiraldi, Soldano Ferrone, Peter T. Cummings and Jonathan Jones. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Cancer Research, Immunogenetics and The Journal of Immunology.

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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