Isolda Casanova

2.5k citations
67 papers · 2.0k · h-index 27

Impact in

  • Oncology top 5%
    • Colorectal Cancer Treatments and Studies
    • Chemokine receptors and signaling
  • Immunology top 10%
    • Immunotherapy and Immune Responses

Papers in

Isolda Casanova

63 papers receiving 1.9k citations

Peers

Isolda Casanova
Comparison fields: 5 of 100
  • Oncology 609
  • Immunology 370
  • Biotechnology 153
  • Biomaterials 224
  • Cancer Research 221
Replace Serena Marchiò with:
Serena Marchiò Italy
Katyayani Tatiparti United States
Tracy R. Daniels‐Wells United States
Fanyan Meng China
Chiara Brignole Italy
Fariba Némati France
Bruce Freimark United States
Oliver M.T. Pearce United Kingdom
Valentina Fogal United States
Juliana Hamzah Australia
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Citations per field
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Serena Marchiò · 1×
Citations per year

Countries citing papers authored by Isolda Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Isolda Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
K-ras codon 12 mutation induces higher level of resistance to apoptosis and predisposition to anchorage-independent growth than codon 13 mutation or proto-oncogene overexpression.
2000204
2 2016128
3 2006103
4 201488
5 201469
6 201869
7 201565
8 201863
9 200658
10 201455
11 202052
12 201948
13 201947
14 201946
15 201845
16 202242
17 201439
18 201639
19 200235
20 200533

About Isolda Casanova

Isolda Casanova is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (17 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Toxin Mechanisms and Immunotoxins (8 papers), Peptidase Inhibition and Analysis (8 papers), Cancer Research and Treatments (8 papers), Bacteriophages and microbial interactions (7 papers), RNA Interference and Gene Delivery (6 papers) and Lymphoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Oncology (609 citations), Immunology (370 citations), Biotechnology (153 citations), Biomaterials (224 citations) and Cancer Research (221 citations). Isolda Casanova has collaborated with scholars based in Spain, Argentina and United States. Frequent co-authors include Ramón Mangues, María Virtudes Céspedes, Esther Vázquez, Antonio Villaverde, Ugutz Unzueta, Miguel Ángel Pavón, Patricia Álamo, Alberto Gallardo, Matilde Parreño and Gabriel Capellá. Their work appears in journals such as Pharmaceutics, The FASEB Journal, Journal of Controlled Release, Cancers and Oncotarget.

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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