Giulia Bon

907 citations
25 papers · 726 · h-index 15

Impact in

Papers in

    • HER2/EGFR in Cancer Research 6
    • Cancer Immunotherapy and Biomarkers 2
    • Colorectal Cancer Treatments and Studies 2
    • Cell Adhesion Molecules Research 4

Giulia Bon

22 papers receiving 721 citations

Peers

Giulia Bon
Comparison fields: 5 of 69
  • Immunology and Allergy 81
  • Oncology 179
  • Cancer Research 104
  • Cell Biology 83
  • Genetics 45
Replace Clotilde Billottet with:
Clotilde Billottet France
Frances E. Lock Canada
Marta Carmen Guadamillas Spain
Yasuyoshi Sohara United States
Reetta Virtakoivu Finland
Federica Ruffini Italy
Hanneke N. Monsuur Netherlands
Anja Mai Finland
Stefano Marastoni Italy
Marko Roblek Germany
Giulia Bon relative to Clotilde Billottet France Clotilde Billottet's profile →
Citations per field
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Clotilde Billottet · 1×
Citations per year

Countries citing papers authored by Giulia Bon

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Bon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200583
2 202064
3 202362
4 201459
5 201057
6 200750
7 200746
8 200844
9 200944
10 200637
11 201437
12 201829
13 202226
14 202220
15 201417
16 202411
17 20129
18 20249
19 20168
20 20218

About Giulia Bon

Giulia Bon is a scholar working on Oncology, Immunology and Allergy, Cell Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 726 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Cell Adhesion Molecules Research (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Mesenchymal stem cell research (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Immunology and Allergy (81 citations), Oncology (179 citations), Cancer Research (104 citations), Cell Biology (83 citations) and Genetics (45 citations). Giulia Bon has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Rita Falcioni, Ada Sacchi, Valentina Folgiero, Selene E. Di Carlo, Shantaram Bharadwaj, Gaddamanugu L. Prasad, Marcello Maugeri‐Saccà, Rossella Loria, Maria Felice Brizzi and Giovanni Blandino. Their work appears in journals such as Clinical Cancer Research, Oncotarget, Cell Death and Disease, Oncogene and Cancer Research.

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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