A Ginestra

13 papers receiving 906 citations

Peers

A Ginestra
Comparison fields: 5 of 77
  • Cancer Research 462
  • Immunology and Allergy 141
  • Molecular Biology 713
  • Hematology 92
  • Immunology 167
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Maya Zigler United States
Lucia Beviglia United States
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J. Bamat Switzerland
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G Conforti Italy
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Citations per year

Countries citing papers authored by A Ginestra

Since Specialization
Citations

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

Fields of papers citing papers by A Ginestra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
The amount and proteolytic content of vesicles shed by human cancer cell lines correlates with their in vitro invasiveness.
1998174
2 1997152
3 1999137
4
Selective localization of matrix metalloproteinase 9, beta1 integrins, and human lymphocyte antigen class I molecules on membrane vesicles shed by 8701-BC breast carcinoma cells.
1998122
5 200393
6
Membrane vesicles in ovarian cancer fluids: a new potential marker.
200088
7
Human breast carcinoma cells cultured in the presence of serum shed membrane vesicles rich in gelatinolytic activities.
199451
8 200128
9 199923
10
Ultrastructural and phenotypic characterization of CABA I, a new human ovarian cancer cell line.
199721
11
Inhibitory effects of vesicles shed by human breast carcinoma cells on lymphocyte 3H-thymidine incorporation, are neutralised by anti TGF-beta antibodies.
199517
12
Modulation of vesicle shedding in 8701 BC human breast carcinoma cells.
199814
13 19944

About A Ginestra

A Ginestra is a scholar working on Molecular Biology, Cancer Research, Immunology, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 924 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Protease and Inhibitor Mechanisms (6 papers), Immunotherapy and Immune Responses (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Invertebrate Immune Response Mechanisms (1 paper), MicroRNA in disease regulation (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Cancer Research (462 citations), Immunology and Allergy (141 citations), Molecular Biology (713 citations), Hematology (92 citations) and Immunology (167 citations). A Ginestra has collaborated with scholars based in Italy and United States. Frequent co-authors include Maria Letizia Vittorelli, Vincenza Dolo, Antonio Pavan, Francesca Saladino, Silvana Canevari, Hiroki Nagase, Stefania Violini, Paolo Mignatti, Hideaki Nagase and Graziano Seghezzi. Their work appears in journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences, Proceedings of the National Academy of Sciences, Clinical & Experimental Metastasis and RENDICONTI LINCEI.

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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