Nadia Tosti

528 citations
16 papers · 328 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 4
    • Peptidase Inhibition and Analysis 2
    • Colorectal Cancer Treatments and Studies 2
    • Cancer Genomics and Diagnostics 3
    • Cancer-related molecular mechanisms research 3

Nadia Tosti

15 papers receiving 321 citations

Peers

Nadia Tosti
Comparison fields: 5 of 42
  • Cancer Research 166
  • Oncology 135
  • Hepatology 38
  • Molecular Biology 162
  • Pathology and Forensic Medicine 42
Replace Kazuma Ohtaka with:
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Nadia Tosti relative to Kazuma Ohtaka Japan Kazuma Ohtaka's profile →
Citations per field
00.5×6.5×
Kazuma Ohtaka · 1×
Citations per year

Countries citing papers authored by Nadia Tosti

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Tosti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201875
2 201457
3 201636
4 201634
5 202323
6 201923
7 202120
8 202115
9 201813
10 201710
11 20228
12 20245
13 20204
14 20184
15 20221
16 20250

About Nadia Tosti

Nadia Tosti is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 16 papers that have together received 328 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (3 papers), Genetic factors in colorectal cancer (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Cancer Research (166 citations), Oncology (135 citations), Hepatology (38 citations), Molecular Biology (162 citations) and Pathology and Forensic Medicine (42 citations). Nadia Tosti has collaborated with scholars based in Switzerland, Italy and Spain. Frequent co-authors include Alfredo Fusco, Luigi Terracciano, Marianna Colamaio, Francesca Puca, Antonella Federico, Salvatore Piscuoglio, Sabrina Battista, Marica Gemei, Luigi Del Vecchio and Markus H. Heim. Their work appears in journals such as Cell Cycle, Annals of Oncology, Neoplasia, Scientific Reports and Journal of Thoracic Oncology.

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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