Valentina Caldera
- Genetics top 2%
- Glioma Diagnosis and Treatment 8
- Cancer Research top 5%
- MicroRNA in disease regulation 4
- Oncology top 10%
- Cancer Cells and Metastasis 4
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 6
- Hedgehog Signaling Pathway Studies 3
- RNA Interference and Gene Delivery 2
- Lipid Membrane Structure and Behavior 2
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms 4
- Co-authors
- Davide SchifferMarta MellaiLaura AnnovazziGuido ValenteGaetano FinocchiaroPietro Luigi PolianiSerena PellegattaFrancesca Menghi
- Cited by
- GeneticsCancer ResearchOncology
- Partner nations
- ItalyUnited StatesPakistan
In The Last Decade
Valentina Caldera
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Genetics 441
- Cancer Research 323
- Oncology 355
- Molecular Biology 720
- Developmental Neuroscience 42
Countries citing papers authored by Valentina Caldera
This map shows the geographic impact of Valentina Caldera'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 Valentina Caldera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Caldera more than expected).
Fields of papers citing papers by Valentina Caldera
This network shows the impact of papers produced by Valentina Caldera. 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 Valentina Caldera. The network helps show where Valentina Caldera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Valentina Caldera, 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 | 2015 | 39 | |
| 2 | 2014 | 75 | |
| 3 | 2014 | 70 | |
| 4 | 2013 | 15 | |
| 5 | 2013 | 64 | |
| 6 | 2013 | 47 | |
| 7 | 2013 | 25 | |
| 8 | 2012 | 12 | |
| 9 | 2012 | 45 | |
| 10 | MGMT hypermethylation and MDR system in glioblastoma cancer stem cells. | 2012 | 23 |
| 11 | 2012 | 85 | |
| 12 | 2011 | 78 | |
| 13 | SOX2 expression and amplification in gliomas and glioma cell lines. | 2011 | 141 |
| 14 | 2010 | 103 | |
| 15 | On the origin and growth of gliomas. | 2010 | 40 |
| 16 | mTOR, S6 and AKT expression in relation to proliferation and apoptosis/autophagy in glioma. | 2009 | 63 |
| 17 | MGMT promoter hypermethylation in a series of 104 glioblastomas. | 2009 | 40 |
| 18 | Survivin expression in glioblastomas correlates with proliferation, but not with apoptosis. | 2008 | 31 |
| 19 | 2008 | 26 | |
| 20 | 2006 | 203 |
About Valentina Caldera
Valentina Caldera is a scholar working on Developmental Neuroscience, Genetics and Cancer Research, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Epigenetics and DNA Methylation (6 papers), MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Hedgehog Signaling Pathway Studies (3 papers), RNA Interference and Gene Delivery (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Genetics (441 citations), Cancer Research (323 citations) and Oncology (355 citations). Valentina Caldera has collaborated with scholars based in Italy, United States and Pakistan. Frequent co-authors include Davide Schiffer, Marta Mellai, Laura Annovazzi, Guido Valente, Gaetano Finocchiaro, Pietro Luigi Poliani, Serena Pellegatta, Francesca Menghi, Chiara Riganti and Paola Cassoni.
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.