V Barbetti

515 citations
15 papers · 381 · h-index 11

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Protein Degradation and Inhibitors 2
    • Acute Myeloid Leukemia Research 6
    • Chronic Myeloid Leukemia Treatments 2

V Barbetti

15 papers receiving 371 citations

Peers

V Barbetti
Comparison fields: 5 of 58
  • Hematology 111
  • Genetics 52
  • Immunology 90
  • Cancer Research 63
  • Oncology 85
Replace Emily Sims with:
Emily Sims United States
Christian Marinaccio Italy
Janine Haug United States
Stephen J. Loughran Australia
Nathalie Nadal France
Olga Modlich Germany
Frank J.G. Scherpen Netherlands
Alma Jenkins United Kingdom
Cristina Largo Spain
V Barbetti relative to Emily Sims United States Emily Sims's profile →
Citations per field
00.5×1.5×2.3×
Emily Sims · 1×
Citations per year

Countries citing papers authored by V Barbetti

Since Specialization
Citations

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

Fields of papers citing papers by V Barbetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200853
2 201146
3 200744
4 201038
5 200737
6 199732
7 201328
8 201324
9 201123
10 201321
11 200518
12 20067
13 19915
14
[Diagnostic and prognostic value of radioimmunologic determination of myoglobin in myocardial infarction].
19823
15 19962

About V Barbetti

V Barbetti is a scholar working on Molecular Biology, Hematology, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 15 papers that have together received 381 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Immune cells in cancer (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Protein Degradation and Inhibitors (2 papers), Prostate Cancer Treatment and Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Hematology (111 citations), Genetics (52 citations), Immunology (90 citations), Cancer Research (63 citations) and Oncology (85 citations). V Barbetti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Elisabetta Rovida, Persio Dello Sbarba, Andrea Morandi, Antonella Gozzini, Maria Grazia Cipolleschi, Michele Tanturli, Elena Spinelli, Massimo Olivotto, Valeria Santini and Sara Sdelci. Their work appears in journals such as European Urology, Oncogene, PLoS ONE, Stem Cells and The Journal of Immunology.

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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