Natascia Marino
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 6
- Cancer, Lipids, and Metabolism 4
- Oncology top 10%
- Cancer Cells and Metastasis 6
- Molecular Biology top 10%
- Mechanisms of cancer metastasis 9
- Single-cell and spatial transcriptomics 4
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy 5
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- Ferrocene Chemistry and Applications 4
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- BRCA gene mutations in cancer 3
- Co-authors
- Patricia S. SteegJoji NakayamaJoshua W. CollinsMusa MayerL. Tiffany ReedStephan WoditschkaJean‐Claude MarshallMassimo Zollo
- Journals
- Cancer Research (7 papers)Clinical & Experimental Metastasis (4 papers)Biomarker Research (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Natascia Marino
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 277
- Oncology 385
- Molecular Biology 744
- Pathology and Forensic Medicine 145
- Immunology 119
Countries citing papers authored by Natascia Marino
This map shows the geographic impact of Natascia Marino'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 Natascia Marino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natascia Marino more than expected).
Fields of papers citing papers by Natascia Marino
This network shows the impact of papers produced by Natascia Marino. 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 Natascia Marino. The network helps show where Natascia Marino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natascia Marino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 49 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 15 | |
| 6 | 2020 | 34 | |
| 7 | 2020 | 56 | |
| 8 | 2020 | 21 | |
| 9 | 2019 | 86 | |
| 10 | 2018 | 38 | |
| 11 | Normal Breast-Derived Epithelial Cells with Luminal and Intrinsic Subtype-Enriched Gene Expression Document Interindividual Differences in Their Differentiation Cascade | 2018 | 1 |
| 12 | Identification and validation of genes with expression patterns inverse to multiple metastasis suppressor genes in breast cancer cell lines | 2014 | 2 |
| 13 | 2014 | 30 | |
| 14 | 2013 | 49 | |
| 15 | 2013 | 249 | |
| 16 | 2012 | 69 | |
| 17 | 2012 | 20 | |
| 18 | 2011 | 43 | |
| 19 | 2007 | 18 | |
| 20 | 2006 | 25 |
About Natascia Marino
Natascia Marino is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Biophysics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mechanisms of cancer metastasis (9 papers), Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (6 papers), Cancer Mechanisms and Therapy (5 papers), Ferrocene Chemistry and Applications (4 papers), Single-cell and spatial transcriptomics (4 papers), Cancer, Lipids, and Metabolism (4 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Cancer Research (277 citations), Oncology (385 citations), Molecular Biology (744 citations), Pathology and Forensic Medicine (145 citations) and Immunology (119 citations). Natascia Marino has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Patricia S. Steeg, Joji Nakayama, Joshua W. Collins, Musa Mayer, L. Tiffany Reed, Stephan Woditschka, Jean‐Claude Marshall, Massimo Zollo, Anna Maria Storniolo and Rana German. Their work appears in journals such as Cancer Research, Clinical & Experimental Metastasis, Biomarker Research, JNCI Journal of the National Cancer Institute and Clinical Epigenetics.
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.