Roberto Licchetta

450 citations
10 papers · 353 · h-index 8

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 2
    • Multiple Myeloma Research and Treatments 2

Roberto Licchetta

10 papers receiving 350 citations

Peers

Roberto Licchetta
Comparison fields: 5 of 60
  • Hematology 106
  • Cancer Research 135
  • Molecular Biology 209
  • Biochemistry 21
  • Genetics 24
Replace Jeffery L. Wrana with:
Jeffery L. Wrana Canada
Lili Pan China
Lawrence N. Barrera United Kingdom
Bastian Baumgartner Germany
Kailash Chandra Mangalhara India
Shabbir A. Ansari United States
María José Mendiburo Germany
Ganchimeg Ishdorj Canada
Fabrizio Puglisi Italy
Lokman Varışlı Türkiye
Roberto Licchetta relative to Jeffery L. Wrana Canada Jeffery L. Wrana's profile →
Citations per field
00.5×2.9×
Jeffery L. Wrana · 1×
Citations per year

Countries citing papers authored by Roberto Licchetta

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Licchetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2015173
2 201532
3 201730
4 201527
5 201726
6 201524
7 201720
8 201918
9 20182
10 20121

About Roberto Licchetta

Roberto Licchetta is a scholar working on Molecular Biology, Hematology, Cancer Research, Public Health, Environmental and Occupational Health and Pharmacology, having authored 10 papers that have together received 353 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Metabolism and Genetic Disorders (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Hematology (106 citations), Cancer Research (135 citations), Molecular Biology (209 citations), Biochemistry (21 citations) and Genetics (24 citations). Roberto Licchetta has collaborated with scholars based in Italy, Malaysia and Croatia. Frequent co-authors include Agostino Tafuri, Maria Rosaria Ricciardi, Simone Mirabilii, Matteo Allegretti, Maria Rosaria Torrisi, Robin Foà, Raffaella Nicolai, Gianfranco Peluso, Anna Calarco and Monica Piedimonte. Their work appears in journals such as Oncotarget, Blood, Scientific Reports, BMC Cancer and Advances in Biological Regulation.

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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