Flávia Cassiola
Impact in
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- Chemotherapy-induced cardiotoxicity and mitigation
- Oncology top 5%
- Cancer Treatment and Pharmacology
- Inflammatory Biomarkers in Disease Prognosis
Papers in
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- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Elke PravdaSusan M. DallabridaNesreen S. IsmailMaria A. RupnickDavid M. HarrisFrederick J. SchöenJey-Hsin ChenRisto Kerkelä
- Journals
- Journal of Chemical Technology & Biotechnology (2 papers)Colloids and Surfaces B Biointerfaces (2 papers)Journal of Molecular Catalysis B Enzymatic (1 paper)Artificial Organs (1 paper)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)
- Partner nations
- United StatesBrazilNetherlands
In The Last Decade
Flávia Cassiola
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 535
- Oncology 528
- Hematology 212
- Cancer Research 156
- Internal Medicine 38
Countries citing papers authored by Flávia Cassiola
This map shows the geographic impact of Flávia Cassiola'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 Flávia Cassiola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flávia Cassiola more than expected).
Fields of papers citing papers by Flávia Cassiola
This network shows the impact of papers produced by Flávia Cassiola. 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 Flávia Cassiola. The network helps show where Flávia Cassiola may publish in the future.
Co-authors
The 25 scholars most cited alongside Flávia Cassiola, 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 | 2020 | 24 | |
| 2 | 2017 | 2 | |
| 3 | 2016 | 15 | |
| 4 | 2015 | 20 | |
| 5 | 2011 | 19 | |
| 6 | 2010 | 38 | |
| 7 | 2008 | 8 | |
| 8 | 2008 | 141 | |
| 9 | 2008 | 261 | |
| 10 | Cardiotoxicity associated with tyrosine kinase inhibitor sunitinib Hit paper breakdown → | 2007 | 814 |
| 11 | 2007 | 3 | |
| 12 | 2005 | 9 | |
| 13 | 2005 | 31 | |
| 14 | 2003 | 4 | |
| 15 | 2002 | 30 | |
| 16 | 2002 | 4 | |
| 17 | 2001 | 2 | |
| 18 | 2000 | 2 | |
| 19 | 1998 | 18 | |
| 20 | 1998 | 2 |
About Flávia Cassiola
Flávia Cassiola is a scholar working on Biomaterials, Cancer Research, Gastroenterology, Molecular Biology and Food Science, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Fermentation and Sensory Analysis (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Surfactants and Colloidal Systems (2 papers), RNA Interference and Gene Delivery (2 papers), Biofuel production and bioconversion (2 papers) and Block Copolymer Self-Assembly (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (535 citations), Oncology (528 citations), Hematology (212 citations), Cancer Research (156 citations) and Internal Medicine (38 citations). Flávia Cassiola has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include Elke Pravda, Susan M. Dallabrida, Nesreen S. Ismail, Maria A. Rupnick, David M. Harris, Frederick J. Schöen, Jey-Hsin Chen, Risto Kerkelä, Tammy F. Chu and Kathleen C. Woulfe. Their work appears in journals such as Journal of Chemical Technology & Biotechnology, Colloids and Surfaces B Biointerfaces, Journal of Molecular Catalysis B Enzymatic, Artificial Organs and Colloids and Surfaces A Physicochemical and Engineering Aspects.
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.