Francesca Bonello

793 citations
18 papers · 181 · h-index 9

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research

Papers in

    • Multiple Myeloma Research and Treatments 18
    • Protein Degradation and Inhibitors 11
    • Ubiquitin and proteasome pathways 3
    • Cancer therapeutics and mechanisms 2

Francesca Bonello

17 papers receiving 181 citations

Peers

Francesca Bonello
Comparison fields: 5 of 32
  • Hematology 143
  • Oncology 105
  • Genetics 22
  • Physiology 7
  • Molecular Biology 103
Replace Pia Sondergeld with:
Pia Sondergeld Germany
Wolney Barreto Brazil
Caleb K. Stein United States
Silvia De Santis Italy
Ana-Isabel Teruel Spain
Laura Rosiñol Spain
Irene Aires‐Mejía Spain
Laure Buisson France
Kevin Dang United States
Dorie A. Sher United States
Francesca Bonello relative to Pia Sondergeld Germany Pia Sondergeld's profile →
Citations per field
00.5×4.2×
Pia Sondergeld · 1×
Citations per year

Countries citing papers authored by Francesca Bonello

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Bonello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201938
2 201830
3 201515
4 202014
5 202211
6 202210
7 202010
8 20209
9 20179
10 20188
11 20167
12 20216
13 20205
14 20194
15 20202
16 20172
17 20161
18 20210

About Francesca Bonello

Francesca Bonello is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 181 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (11 papers), Peptidase Inhibition and Analysis (7 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Treatment and Pharmacology (2 papers), Cancer therapeutics and mechanisms (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Hematology (143 citations), Oncology (105 citations), Genetics (22 citations), Physiology (7 citations) and Molecular Biology (103 citations). Francesca Bonello has collaborated with scholars based in Italy, Switzerland and Netherlands. Frequent co-authors include Mario Boccadoro, Francesca Gay, Roberto Mina, Mattia D’Agostino, Sara Bringhen, Alessandra Larocca, Chiara Cerrato, Marco Salvini, Antonio Palumbo and Valeria Magarotto. Their work appears in journals such as Cancers, Frontiers in Oncology, Expert Review of Anticancer Therapy, Expert Opinion on Biological Therapy and Pharmaceuticals.

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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