Fernando Palluzzi
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
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- Functional Brain Connectivity Studies
Papers in
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- Gene expression and cancer classification 2
- Genomics and Chromatin Dynamics 2
- DNA Repair Mechanisms 1
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Mario Grassi (5 shared papers)Barbara Borroni (5 shared papers)Luciano Giacò (7 shared papers)Marco Masseroli (2 shared papers)Davide Guido (5 shared papers)Heiko Müller (1 shared paper)Stefano Ceri (1 shared paper)Vahid Jalili (2 shared papers)
- Journals
- Bioinformatics (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Cancers (2 papers)Biomedicines (1 paper)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Fernando Palluzzi
18 papers receiving 408 citations
Peers
Comparison fields: 5 of 88
- Neurology 59
- Cognitive Neuroscience 58
- Cancer Research 35
- Neurology 35
- Molecular Biology 156
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 | 74 | |
| 2 | 2015 | 71 | |
| 3 | 2020 | 66 | |
| 4 | 2021 | 43 | |
| 5 | 2017 | 30 | |
| 6 | 2019 | 28 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 4 | |
| 16 | 2017 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 |
About Fernando Palluzzi
Fernando Palluzzi is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Obstetrics and Gynecology, having authored 18 papers that have together received 413 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Gene expression and cancer classification (2 papers), Alzheimer's disease research and treatments (2 papers), Cervical Cancer and HPV Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Neurology (59 citations), Cognitive Neuroscience (58 citations), Cancer Research (35 citations), Neurology (35 citations) and Molecular Biology (156 citations). Fernando Palluzzi has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Mario Grassi, Barbara Borroni, Luciano Giacò, Marco Masseroli, Davide Guido, Heiko Müller, Stefano Ceri, Vahid Jalili, Enrico Premi and Pietro Pinoli. Their work appears in journals such as Bioinformatics, Journal of Experimental & Clinical Cancer Research, Cancers, Biomedicines and International Journal of Gynecological Cancer.
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.