Valentina Caldera
- Molecular Biology top 10%
- Genetics top 2%
- Oncology top 10%
- Cancer Research top 5%
- Immunology
- Co-authors
- Davide SchifferMarta MellaiLaura AnnovazziGuido ValenteGaetano FinocchiaroPietro Luigi PolianiSerena PellegattaFrancesca Menghi
- Topics
- Glioma Diagnosis and Treatment (8 papers)Epigenetics and DNA Methylation (6 papers)MicroRNA in disease regulation (4 papers)
- 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
- Molecular Biology 720
- Genetics 441
- Oncology 355
- Cancer Research 323
- Immunology 190
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 of co-authors of Valentina Caldera
This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Caldera. A scholar is included among the top collaborators of Valentina Caldera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Valentina Caldera. Valentina Caldera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 75 | |
| 3 | 70 | |
| 4 | 15 | |
| 5 | 64 | |
| 6 | 47 | |
| 7 | 25 | |
| 8 | 12 | |
| 9 | 45 | |
| 10 | MGMT hypermethylation and MDR system in glioblastoma cancer stem cells. | 23 |
| 11 | 85 | |
| 12 | 78 | |
| 13 | SOX2 expression and amplification in gliomas and glioma cell lines. | 141 |
| 14 | 103 | |
| 15 | On the origin and growth of gliomas. | 40 |
| 16 | mTOR, S6 and AKT expression in relation to proliferation and apoptosis/autophagy in glioma. | 63 |
| 17 | MGMT promoter hypermethylation in a series of 104 glioblastomas. | 40 |
| 18 | Survivin expression in glioblastomas correlates with proliferation, but not with apoptosis. | 31 |
| 19 | 26 | |
| 20 | 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) and MicroRNA in disease regulation (4 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. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.
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.