Marta Lionetti

3.2k citations
50 papers · 1.6k · h-index 22

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Protein Degradation and Inhibitors 9
    • Glycosylation and Glycoproteins Research 5
    • Multiple Myeloma Research and Treatments 24
    • Acute Myeloid Leukemia Research 4

Marta Lionetti

50 papers receiving 1.6k citations

Peers

Marta Lionetti
Comparison fields: 5 of 77
  • Hematology 647
  • Cancer Research 734
  • Genetics 261
  • Molecular Biology 1.1k
  • Pathology and Forensic Medicine 293
Replace Linda Wellik with:
Linda Wellik United States
Daniel Ratschiller Switzerland
Antonio Jiménez‐Velasco Spain
Meaghan Wall Australia
Anabel Heiniger Spain
Tammy Price-Troska United States
Ken Maes Belgium
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Citations per field
00.5×3.8×
Linda Wellik · 1×
Citations per year

Countries citing papers authored by Marta Lionetti

Since Specialization
Citations

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

Fields of papers citing papers by Marta Lionetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009198
2 2012126
3 2013122
4 2009107
5 2008105
6 201382
7 201266
8 201558
9 200952
10 201348
11 200946
12 201644
13 201544
14 200841
15 201240
16 201038
17 201637
18 201533
19 201132
20 200929

About Marta Lionetti

Marta Lionetti is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (24 papers), Chronic Lymphocytic Leukemia Research (14 papers), MicroRNA in disease regulation (10 papers), Protein Degradation and Inhibitors (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Glycosylation and Glycoproteins Research (5 papers), Acute Myeloid Leukemia Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Hematology (647 citations), Cancer Research (734 citations), Genetics (261 citations), Molecular Biology (1.1k citations) and Pathology and Forensic Medicine (293 citations). Marta Lionetti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Antonino Neri, Luca Agnelli, Sonia Fabris, Katia Todoerti, Laura Mosca, Giorgio La Nasa, Pierfrancesco Tassone, Adrian Andronache, Domenica Ronchetti and Luigia Lombardi. Their work appears in journals such as Blood, Oncotarget, Genes Chromosomes and Cancer, Cancers and Clinical Cancer Research.

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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