Martina Da Ros
- Molecular Biology
- Genetics top 10%
- Immunology
- Cancer Research
- Hematology top 10%
- Co-authors
- Iacopo SardiAnna Lisa IorioMaurizio de MartinoLorenzo GenitoriLaura GiuntiMilena GuidiVeronica De GregorioValentina Cetica
- Topics
- Glioma Diagnosis and Treatment (5 papers)MicroRNA in disease regulation (4 papers)Autoimmune and Inflammatory Disorders Research (4 papers)
- Cited by
- GeneticsHematologyCancer Research
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesFrontiers in Immunology
- Partner nations
- ItalyCanadaUnited Kingdom
In The Last Decade
Martina Da Ros
19 papers receiving 507 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 197
- Genetics 128
- Immunology 127
- Cancer Research 118
- Hematology 99
Countries citing papers authored by Martina Da Ros
This map shows the geographic impact of Martina Da Ros'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 Martina Da Ros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Da Ros more than expected).
Fields of papers citing papers by Martina Da Ros
This network shows the impact of papers produced by Martina Da Ros. 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 Martina Da Ros. The network helps show where Martina Da Ros may publish in the future.
Co-authorship network of co-authors of Martina Da Ros
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Da Ros. A scholar is included among the top collaborators of Martina Da Ros based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martina Da Ros. Martina Da Ros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 15 | |
| 4 | 177 | |
| 5 | 16 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 30 | |
| 9 | Morphine modulates doxorubicin uptake and improves efficacy of chemotherapy in an intracranial xenograft model of human glioblastoma. | 11 |
| 10 | Anti-miR21 oligonucleotide enhances chemosensitivity of T98G cell line to doxorubicin by inducing apoptosis. | 36 |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | 81 | |
| 15 | 19 | |
| 16 | 20 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 9 |
About Martina Da Ros
Martina Da Ros is a scholar working on Genetics, Hematology and Cancer Research, having authored 19 papers that have together received 513 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), MicroRNA in disease regulation (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). The work is most often cited by research in Genetics (128 citations), Hematology (99 citations) and Cancer Research (118 citations). Martina Da Ros has collaborated with scholars based in Italy, Canada and United Kingdom. Frequent co-authors include Iacopo Sardi, Anna Lisa Iorio, Maurizio de Martino, Lorenzo Genitori, Laura Giunti, Milena Guidi, Veronica De Gregorio, Valentina Cetica, Elena Sieni and Benedetta Ciambotti. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Immunology.
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.