Daniela Murtas

1.2k citations
38 papers · 960 · h-index 19

Impact in

Papers in

    • Cutaneous Melanoma Detection and Management 6
    • Cancer Immunotherapy and Biomarkers 1
    • Cancer Cells and Metastasis 1
    • MicroRNA in disease regulation 2
    • Breast Cancer Treatment Studies 2

Daniela Murtas

36 papers receiving 933 citations

Peers

Daniela Murtas
Comparison fields: 5 of 63
  • Oncology 194
  • Cancer Research 53
  • Immunology 49
  • Anatomy 2
  • Radiology, Nuclear Medicine and Imaging 48
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Murtas

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Murtas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005138
2 201166
3 202160
4 201156
5 201353
6
Oxidative stress in pterygium: relationship between p53 and 8-hydroxydeoxyguanosine.
200652
7 201446
8 201846
9 200744
10 200742
11 201137
12 200831
13 201231
14 201928
15 201723
16 201021
17 201821
18
Relationship between the expression of cyclooxygenase-2 and survivin in primary pterygium.
200919
19 200919
20 201417

About Daniela Murtas

Daniela Murtas is a scholar working on Oncology, Cancer Research, Immunology, Toxicology and Physiology, having authored 38 papers that have together received 960 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (6 papers), MicroRNA in disease regulation (2 papers), Breast Cancer Treatment Studies (2 papers), Erythropoietin and Anemia Treatment (1 paper), Cervical Cancer and HPV Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Alzheimer's disease research and treatments (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (194 citations), Cancer Research (53 citations), Immunology (49 citations), Anatomy (2 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Daniela Murtas has collaborated with scholars based in Italy, Qatar and United States. Frequent co-authors include Cristina Maxia, Franca Piras, Maria Teresa Perra, P. Sirigu, Luigi Minerba, Sara Tomei, Romano Colombari, Cristian Scatena, C. Floris and Andrea Diana. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Cellular and Molecular Medicine, Journal of Translational Medicine, Histopathology and Histochemistry and Cell Biology.

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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