Fernando Palluzzi
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
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- Functional Brain Connectivity Studies
Papers in
-
- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 2
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Mario Grassi (5 shared papers)Barbara Borroni (5 shared papers)Luciano Giacò (7 shared papers)Davide Guido (5 shared papers)Vahid Jalili (2 shared papers)Marco Masseroli (2 shared papers)Enrico Premi (3 shared papers)Pietro Pinoli (1 shared paper)
- Journals
- Bioinformatics (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Cancers (2 papers)Nature Genetics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Fernando Palluzzi
18 papers receiving 372 citations
Peers
Comparison fields: 5 of 86
- Neurology 67
- Cognitive Neuroscience 69
- Cancer Research 51
- Neurology 41
- Molecular Biology 162
Countries citing papers authored by Fernando Palluzzi
This map shows the geographic impact of Fernando Palluzzi'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 Fernando Palluzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Palluzzi more than expected).
Fields of papers citing papers by Fernando Palluzzi
This network shows the impact of papers produced by Fernando Palluzzi. 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 Fernando Palluzzi. The network helps show where Fernando Palluzzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Palluzzi, 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 | 2019 | 70 | |
| 2 | 2020 | 61 | |
| 3 | 2015 | 58 | |
| 4 | 2021 | 37 | |
| 5 | 2017 | 29 | |
| 6 | 2019 | 26 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2015 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 |
About Fernando Palluzzi
Fernando Palluzzi is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Neurology and Psychiatry and Mental health, having authored 18 papers that have together received 374 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Gene expression and cancer classification (3 papers), Alzheimer's disease research and treatments (2 papers), Transcranial Magnetic Stimulation Studies (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Genomics and Chromatin Dynamics (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Neurology (67 citations), Cognitive Neuroscience (69 citations), Cancer Research (51 citations), Neurology (41 citations) and Molecular Biology (162 citations). Fernando Palluzzi has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Mario Grassi, Barbara Borroni, Luciano Giacò, Davide Guido, Vahid Jalili, Marco Masseroli, Enrico Premi, Pietro Pinoli, Heiko Müller and Stefano Ceri. Their work appears in journals such as Bioinformatics, Journal of Experimental & Clinical Cancer Research, Cancers, Nature Genetics and BMC Bioinformatics.
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.