V. Blatt
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 16
- Glioma Diagnosis and Treatment 16
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- Histone Deacetylase Inhibitors Research 5
- Epigenetics and DNA Methylation 2
- Co-authors
- Alba A. Brandes (15 shared papers)Enrico Franceschi (13 shared papers)Mario Ermani (9 shared papers)Alicia Tosoni (5 shared papers)Roberta Bertorelle (4 shared papers)Giovanni Tallini (2 shared papers)Annalisa Pession (2 shared papers)A. Tosoni (12 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Journal of Neuro-Oncology (2 papers)British Journal of Cancer (2 papers)Critical Reviews in Oncology/Hematology (1 paper)Neurology (1 paper)
- Partner nations
- Italy
In The Last Decade
V. Blatt
17 papers receiving 1.4k citations
V. Blatt's Hit Papers
Peers
Comparison fields: 5 of 59
- Genetics 1.2k
- Cancer Research 214
- Pulmonary and Respiratory Medicine 409
- Radiology, Nuclear Medicine and Imaging 238
- Neurology 121
Countries citing papers authored by V. Blatt
This map shows the geographic impact of V. Blatt'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 V. Blatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Blatt more than expected).
Fields of papers citing papers by V. Blatt
This network shows the impact of papers produced by V. Blatt. 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 V. Blatt. The network helps show where V. Blatt may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Blatt, 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 | MGMT Promoter Methylation Status Can Predict the Incidence and Outcome of Pseudoprogression After Concomitant Radiochemotherapy in Newly Diagnosed Glioblastoma Patients Hit paper breakdown → | 2008 | 634 |
| 2 | 2006 | 184 | |
| 3 | 2007 | 164 | |
| 4 | 2006 | 144 | |
| 5 | 2007 | 100 | |
| 6 | 2009 | 73 | |
| 7 | 2008 | 62 | |
| 8 | 2006 | 33 | |
| 9 | 2006 | 33 | |
| 10 | 2006 | 25 | |
| 11 | 2004 | 4 | |
| 12 | 2006 | 4 | |
| 13 | 2007 | 1 | |
| 14 | 2004 | 1 | |
| 15 | 2005 | 1 | |
| 16 | 2007 | 1 | |
| 17 | 2007 | 1 |
About V. Blatt
V. Blatt is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Biomedical Engineering, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Histone Deacetylase Inhibitors Research (5 papers), Brain Metastases and Treatment (5 papers), Epigenetics and DNA Methylation (2 papers), Cancer Treatment and Pharmacology (2 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer Mechanisms and Therapy (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Genetics (1.2k citations), Cancer Research (214 citations), Pulmonary and Respiratory Medicine (409 citations), Radiology, Nuclear Medicine and Imaging (238 citations) and Neurology (121 citations). V. Blatt has collaborated with scholars based in Italy. Frequent co-authors include Alba A. Brandes, Enrico Franceschi, Mario Ermani, Alicia Tosoni, Roberta Bertorelle, Giovanni Tallini, Annalisa Pession, A. Tosoni, Stefania Bartolini and Marco Leonardi. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neuro-Oncology, British Journal of Cancer, Critical Reviews in Oncology/Hematology and Neurology.
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.