Emanuele Palescandolo
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 8
- Oncology top 5%
- Cancer-related Molecular Pathways 2
- Neurology top 5%
- Epidemiology top 5%
- Genetics top 10%
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- RNA modifications and cancer 3
- Molecular Biology Techniques and Applications 2
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- Lung Cancer Treatments and Mutations 3
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- Hepatitis C virus research 2
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- Radiomics and Machine Learning in Medical Imaging 1
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- interferon and immune responses 1
- Co-authors
- Laura E. MacConaillRobert T. JonesPaul Van HummelenWilliam C. HahnIan F. DunnRameen BeroukhimPriscilla K. BrastianosAnat Stemmer‐Rachamimov
- Cited by
- Cancer ResearchOncologyNeurology
- Journals
- Nature Communications (1 paper)Nature Genetics (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Emanuele Palescandolo
19 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cancer Research 315
- Oncology 472
- Neurology 226
- Epidemiology 513
- Genetics 154
Countries citing papers authored by Emanuele Palescandolo
This map shows the geographic impact of Emanuele Palescandolo'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 Emanuele Palescandolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Palescandolo more than expected).
Fields of papers citing papers by Emanuele Palescandolo
This network shows the impact of papers produced by Emanuele Palescandolo. 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 Emanuele Palescandolo. The network helps show where Emanuele Palescandolo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emanuele Palescandolo, 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 | 2018 | 132 | |
| 2 | 2014 | 3 | |
| 3 | Genomic sequencing of meningiomas identifies oncogenic SMO and AKT1 mutationsbreakdown → | 2013 | 419 |
| 4 | 2013 | 210 | |
| 5 | 2012 | 37 | |
| 6 | 2012 | 37 | |
| 7 | 2012 | 63 | |
| 8 | 2012 | 4 | |
| 9 | 2012 | 2 | |
| 10 | 2012 | 62 | |
| 11 | 2011 | 298 | |
| 12 | 2011 | 39 | |
| 13 | 2008 | 111 | |
| 14 | 2006 | 36 | |
| 15 | 2005 | 14 | |
| 16 | 2005 | 19 | |
| 17 | 2005 | 62 | |
| 18 | 2002 | 63 | |
| 19 | 2001 | 27 |
About Emanuele Palescandolo
Emanuele Palescandolo is a scholar working on Cancer Research, Hepatology and Oncology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), RNA modifications and cancer (3 papers), Lung Cancer Treatments and Mutations (3 papers), Molecular Biology Techniques and Applications (2 papers), Hepatitis C virus research (2 papers), Cancer-related Molecular Pathways (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Cancer Research (315 citations), Oncology (472 citations) and Neurology (226 citations). Emanuele Palescandolo has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Laura E. MacConaill, Robert T. Jones, Paul Van Hummelen, William C. Hahn, Ian F. Dunn, Rameen Beroukhim, Priscilla K. Brastianos, Anat Stemmer‐Rachamimov, Peleg Horowitz and Michelle S. Hirsch. Their work appears in journals such as Nature Communications, Nature Genetics and Journal of Clinical Oncology.
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.