Sandra Pastorino
- Genetics top 0.5%
- Glioma Diagnosis and Treatment 10
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 8
- Cancer Genomics and Diagnostics 5
- Oncology top 1%
- Developmental Neuroscience top 2%
- Molecular Biology top 2%
- Angiogenesis and VEGF in Cancer 5
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- Occupational and environmental lung diseases 16
- Medical Imaging and Pathology Studies 5
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- Immune Cell Function and Interaction 6
- Immune cells in cancer 5
- Co-authors
- Howard A. FineQin SuYuri KotliarovJeongwu LeeBenjamin PurowJohn K. ParkSvetlana KotliarovaWei Zhang
- Cited by
- GeneticsCancer ResearchOncology
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Sandra Pastorino
56 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Genetics 1.7k
- Cancer Research 1.8k
- Oncology 1.8k
- Developmental Neuroscience 250
- Molecular Biology 3.0k
Countries citing papers authored by Sandra Pastorino
This map shows the geographic impact of Sandra Pastorino'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 Sandra Pastorino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Pastorino more than expected).
Fields of papers citing papers by Sandra Pastorino
This network shows the impact of papers produced by Sandra Pastorino. 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 Sandra Pastorino. The network helps show where Sandra Pastorino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sandra Pastorino, 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 | 2025 | 3 | |
| 2 | 2020 | 57 | |
| 3 | 2017 | 20 | |
| 4 | 2017 | 84 | |
| 5 | 2017 | 20 | |
| 6 | 2016 | 83 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 216 | |
| 9 | 2015 | 115 | |
| 10 | 2014 | 92 | |
| 11 | 2013 | 21 | |
| 12 | 2011 | 53 | |
| 13 | 2011 | 242 | |
| 14 | 2008 | 220 | |
| 15 | Tumor stem cells derived from glioblastomas cultured in bFGF and EGF more closely mirror the phenotype and genotype of primary tumors than do serum-cultured cell linesbreakdown → | 2006 | 1805 |
| 16 | 2004 | 81 | |
| 17 | 2004 | 9 | |
| 18 | 2003 | 11 | |
| 19 | 2003 | 36 | |
| 20 | 2001 | 48 |
About Sandra Pastorino
Sandra Pastorino is a scholar working on Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 6.3k indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (16 papers), Glioma Diagnosis and Treatment (10 papers), Cancer, Hypoxia, and Metabolism (8 papers), Immune Cell Function and Interaction (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Cancer Genomics and Diagnostics (5 papers), Medical Imaging and Pathology Studies (5 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Genetics (1.7k citations), Cancer Research (1.8k citations) and Oncology (1.8k citations). Sandra Pastorino has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Howard A. Fine, Qin Su, Yuri Kotliarov, Jeongwu Lee, Benjamin Purow, John K. Park, Svetlana Kotliarova, Wei Zhang, Aiguo Li and Nicholas M. Donin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.