Serena Masciari
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
- Oncology 15
- Cancer-related Molecular Pathways 8
- CAR-T cell therapy research 6
- HER2/EGFR in Cancer Research 3
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- Protein Tyrosine Phosphatases 2
- Co-authors
- Judy E. Garber (7 shared papers)Salvatore Venuta (3 shared papers)Pierfrancesco Tassone (3 shared papers)Alexander Miron (3 shared papers)M Rath (2 shared papers)Deborah Dillon (2 shared papers)M. Kandel (2 shared papers)Laura C. Collins (2 shared papers)
- Journals
- Cancer Research (3 papers)Annals of Oncology (3 papers)Journal of Clinical Oncology (2 papers)ESMO Open (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Serena Masciari
23 papers receiving 786 citations
Peers
Comparison fields: 5 of 66
- Oncology 407
- Cancer Research 176
- Pathology and Forensic Medicine 174
- Genetics 197
- Hematology 50
Countries citing papers authored by Serena Masciari
This map shows the geographic impact of Serena Masciari'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 Serena Masciari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Masciari more than expected).
Fields of papers citing papers by Serena Masciari
This network shows the impact of papers produced by Serena Masciari. 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 Serena Masciari. The network helps show where Serena Masciari may publish in the future.
Co-authors
The 25 scholars most cited alongside Serena Masciari, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 123 | |
| 2 | 2011 | 99 | |
| 3 | 2007 | 78 | |
| 4 | 2004 | 69 | |
| 5 | 2005 | 67 | |
| 6 | 2008 | 65 | |
| 7 | 2015 | 65 | |
| 8 | 2009 | 57 | |
| 9 | 2006 | 43 | |
| 10 | 2013 | 35 | |
| 11 | 2017 | 27 | |
| 12 | 2005 | 26 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 9 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2011 | 2 | |
| 20 | 2024 | 1 |
About Serena Masciari
Serena Masciari is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Genetics, having authored 23 papers that have together received 808 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), BRCA gene mutations in cancer (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Tyrosine Phosphatases (2 papers) and Nanofabrication and Lithography Techniques (2 papers). The work is most often cited by research in Oncology (407 citations), Cancer Research (176 citations), Pathology and Forensic Medicine (174 citations), Genetics (197 citations) and Hematology (50 citations). Serena Masciari has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Judy E. Garber, Salvatore Venuta, Pierfrancesco Tassone, Alexander Miron, M Rath, Deborah Dillon, M. Kandel, Laura C. Collins, Zsofia K. Stadler and Sapna Syngal. Their work appears in journals such as Cancer Research, Annals of Oncology, Journal of Clinical Oncology, ESMO Open and Breast Cancer Research and Treatment.
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.