Giulia Bon

1.1k citations
23 papers · 738 · h-index 15

Impact in

Papers in

Giulia Bon

21 papers receiving 718 citations

Peers

Giulia Bon
Comparison fields: 5 of 88
  • Immunology and Allergy 113
  • Cancer Research 139
  • Cell Biology 150
  • Oncology 178
  • Molecular Biology 340
Replace Kerstin Dehne with:
Kerstin Dehne Germany
Marie-Christine Multon France
Cuifen Huang China
Timothy R. McPhee Australia
Florence A. Scholl Switzerland
I‐Chu Tseng United States
Jennifer L. Brockman United States
Laurie F. Fleischman United States
Udaya Yerramalla United States
Gui Gao United States
Giulia Bon relative to Kerstin Dehne Germany Kerstin Dehne's profile →
Citations per field
00.5×7.3×
Kerstin Dehne · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197999
2 200582
3 201459
4 201056
5 202353
6 200752
7 200747
8 200944
9 200844
10 200637
11 201434
12 202225
13 201825
14 202218
15 201417
16 198110
17 20249
18 20129
19 20247
20 20167

About Giulia Bon

Giulia Bon is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 738 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Cell Adhesion Molecules Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cellular Mechanics and Interactions (3 papers), Pluripotent Stem Cells Research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Immunology and Allergy (113 citations), Cancer Research (139 citations), Cell Biology (150 citations), Oncology (178 citations) and Molecular Biology (340 citations). Giulia Bon has collaborated with scholars based in Italy, Malaysia and United Kingdom. Frequent co-authors include Rita Falcioni, Valentina Folgiero, Ada Sacchi, G. Cazzolato, P Avogaro, Selene E. Di Carlo, G.B. Quinci, Gerhard M. Kostner, G. L. Prasad and Shantaram Bharadwaj. Their work appears in journals such as Oncogene, Oncotarget, Cancer Research, Cell Death and Disease and Biology Open.

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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