Franco Izzo

2.2k citations
25 papers · 796 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Single-cell and spatial transcriptomics 2
    • Cancer-related gene regulation 2
    • Cytokine Signaling Pathways and Interactions 4
    • HER2/EGFR in Cancer Research 2

Franco Izzo

24 papers receiving 785 citations

Peers

Franco Izzo
Comparison fields: 5 of 72
  • Cancer Research 197
  • Hematology 83
  • Molecular Biology 509
  • Oncology 124
  • Pathology and Forensic Medicine 79
Replace Yanina Eberhard with:
Yanina Eberhard Canada
Saritha Kusam United States
Isha Kapoor India
Rong‐Yaun Shyu Taiwan
Wendy M. Toyofuku United States
Markus Duechler Poland
Ziyu Wang China
Paul Glover United States
Maria Unni Rømer Denmark
Alessandra Metelli United States
Franco Izzo relative to Yanina Eberhard Canada Yanina Eberhard's profile →
Citations per field
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Yanina Eberhard · 1×
Citations per year

Countries citing papers authored by Franco Izzo

Since Specialization
Citations

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

Fields of papers citing papers by Franco Izzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Franco Izzo, 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 Franco Izzo Line = papers co-authored together Franco Izzo 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 2019128
2 198999
3 201677
4 202076
5 200173
6 202264
7 201553
8 202245
9 202038
10 201927
11 201427
12 201222
13 201220
14 202314
15 201512
16 20229
17 20164
18 20242
19 20181
20 20061

About Franco Izzo

Franco Izzo is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Genetics, having authored 25 papers that have together received 796 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Single-cell and spatial transcriptomics (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer-related gene regulation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (197 citations), Hematology (83 citations), Molecular Biology (509 citations), Oncology (124 citations) and Pathology and Forensic Medicine (79 citations). Franco Izzo has collaborated with scholars based in United States, Argentina and Chile. Frequent co-authors include P. W. Postma, Ruud H. Geerse, Dan A. Landau, C Cervini, Cecilia J. Proietti, Patrizia Del Medico, Walter Grassi, Patricia V. Elizalde, Roxana Schillaci and Robert M. Myers. Their work appears in journals such as Blood, Cell Reports, Oncogene, Cell stem cell and Nature Communications.

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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