Sandra Cascio
Impact in
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- Regulation of Appetite and Obesity
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Glycosylation and Glycoproteins Research 9
- Genetics 10
- BRCA gene mutations in cancer 6
- Estrogen and related hormone effects 3
- Co-authors
- Eva Surmacz (18 shared papers)Antonio Russo (18 shared papers)Olivera J. Finn (10 shared papers)Cecilia Garofalo (6 shared papers)Viviana Bazan (12 shared papers)Rita Ferla (3 shared papers)M Sulkowska (2 shared papers)S Sułkowski (2 shared papers)
- Journals
- Annals of Oncology (6 papers)Journal of Cellular Physiology (6 papers)Cancer Research (5 papers)Breast Cancer Research and Treatment (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Sandra Cascio
40 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Endocrine and Autonomic Systems 252
- Cancer Research 440
- Oncology 371
- Genetics 343
- Molecular Biology 836
Countries citing papers authored by Sandra Cascio
This map shows the geographic impact of Sandra Cascio'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 Cascio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Cascio more than expected).
Fields of papers citing papers by Sandra Cascio
This network shows the impact of papers produced by Sandra Cascio. 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 Cascio. The network helps show where Sandra Cascio may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Cascio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 320 | |
| 2 | 2007 | 207 | |
| 3 | 2010 | 197 | |
| 4 | 2005 | 87 | |
| 5 | 2019 | 80 | |
| 6 | 2011 | 76 | |
| 7 | 2004 | 73 | |
| 8 | 2008 | 62 | |
| 9 | 2021 | 57 | |
| 10 | 2016 | 55 | |
| 11 | 2007 | 49 | |
| 12 | 2008 | 47 | |
| 13 | 2007 | 47 | |
| 14 | 2006 | 43 | |
| 15 | 2009 | 43 | |
| 16 | 2013 | 38 | |
| 17 | 2006 | 37 | |
| 18 | 2015 | 24 | |
| 19 | 2024 | 23 | |
| 20 | 2006 | 23 |
About Sandra Cascio
Sandra Cascio is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cancer Research, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), BRCA gene mutations in cancer (6 papers), Galectins and Cancer Biology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune cells in cancer (4 papers), Regulation of Appetite and Obesity (4 papers), Cancer-related molecular mechanisms research (4 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (252 citations), Cancer Research (440 citations), Oncology (371 citations), Genetics (343 citations) and Molecular Biology (836 citations). Sandra Cascio has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Eva Surmacz, Antonio Russo, Olivera J. Finn, Cecilia Garofalo, Viviana Bazan, Rita Ferla, M Sulkowska, S Sułkowski, Mariusz Koda and Jolanta Gołaszewska. Their work appears in journals such as Annals of Oncology, Journal of Cellular Physiology, Cancer Research, Breast Cancer Research and Treatment and Journal of Biological Chemistry.
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.