Marina Martello

826 citations
30 papers · 472 indexed · h-index 10
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments 21
    • Peptidase Inhibition and Analysis 7
    • Chemokine receptors and signaling 2
    • Cancer, Hypoxia, and Metabolism 4
    • Cancer Genomics and Diagnostics 3
    • Protein Degradation and Inhibitors 12
    • Ubiquitin and proteasome pathways 4
    • Glycosylation and Glycoproteins Research 2

Marina Martello

28 papers receiving 466 citations

Peers

Marina Martello
Comparison fields: 5 of 53
  • Hematology 352
  • Oncology 218
  • Cancer Research 83
  • Genetics 48
  • Molecular Biology 303
Replace Enrica Borsi with:
Enrica Borsi Italy
Norbert Grząśko Poland
Maoxiang Qian China
Daniele Derudas Italy
Roberto Mina Italy
Weiwei Sui China
Kathleen Kelly United States
Claudia E. Paba‐Prada United States
P. Dieringer United States
Alexandria Petrusich United States
Marina Martello relative to Enrica Borsi Italy Enrica Borsi's profile →
Citations per field
00.5×1.5×1.9×
Enrica Borsi · 1×
Citations per year

Countries citing papers authored by Marina Martello

Since Specialization
Citations

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

Fields of papers citing papers by Marina Martello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20234
4 202217
5 20221
6 20219
7 20205
8 202049
9
Usefulness of Circulating Cell-Free DNA to Define and Tracking How Multiple Myeloma Spread and Disseminate Outside the Bone Marrow
20200
10 20201
11 201940
12 20173
13 20169
14 20161
15 2015107
16 20154
17 201424
18 201450
19 20111
20 20111

About Marina Martello

Marina Martello is a scholar working on Hematology, Cancer Research and Oncology, having authored 30 papers that have together received 472 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (21 papers), Protein Degradation and Inhibitors (12 papers), Peptidase Inhibition and Analysis (7 papers), Cancer, Hypoxia, and Metabolism (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer Genomics and Diagnostics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Hematology (352 citations), Oncology (218 citations) and Cancer Research (83 citations). Marina Martello has collaborated with scholars based in Italy, Greece and United States. Frequent co-authors include Carolina Terragna, Michèle Cavo, Paola Tacchetti, Enrica Borsi, Annamaria Brioli, Elena Zamagni, Lucia Pantani, Serena Rocchi, Beatrice Anna Zannetti and Katia Mancuso. Their work appears in journals such as Nature Communications, Blood 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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