Daniela Martinetti

457 citations
11 papers · 350 · h-index 10

Impact in

    • Platelet Disorders and Treatments
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Daniela Martinetti

11 papers receiving 346 citations

Peers

Daniela Martinetti
Comparison fields: 5 of 78
  • Hematology 59
  • Cancer Research 69
  • Oncology 101
  • Genetics 24
  • Immunology 47
Replace Dorota Lemancewicz with:
Dorota Lemancewicz Poland
Juan Lin China
Jianqing Huang China
Minjia Sheng China
Shinji Mikami Japan
Alex Y. C. Chang United States
Ahmed H. Mekkawy Australia
Sheng-Fung Lin Taiwan
Lindsay Wilde United States
A A Sandberg United States
Daniela Martinetti relative to Dorota Lemancewicz Poland Dorota Lemancewicz's profile →
Citations per field
00.5×2.7×
Dorota Lemancewicz · 1×
Citations per year

Countries citing papers authored by Daniela Martinetti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Martinetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200771
2 201269
3 201768
4 201732
5 201324
6 201421
7 201120
8 201318
9 201414
10 201012
11 20081

About Daniela Martinetti

Daniela Martinetti is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Hematology and Epidemiology, having authored 11 papers that have together received 350 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Ubiquitin and proteasome pathways (2 papers), Colorectal Cancer Treatments and Studies (1 paper), MicroRNA in disease regulation (1 paper), Genetic factors in colorectal cancer (1 paper) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (59 citations), Cancer Research (69 citations), Oncology (101 citations), Genetics (24 citations) and Immunology (47 citations). Daniela Martinetti has collaborated with scholars based in Italy, Montenegro and Spain. Frequent co-authors include Ruggero De Maria, Lorenzo Memeo, Cristina Colarossi, Monica Bartucci, Ann Zeuner, Michele Signore, C Peschle, Simona Buccheri, Dario Giuffrida and Massimo Gulisano. Their work appears in journals such as Diagnostic Pathology, Blood, Clinical Cancer Research, Biomedical Reports and Leukemia 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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