Luca Mattei
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Estrogen and related hormone effects
- Behavioral Neuroscience top 10%
Papers in
- Surgery 7
- Intraoperative Neuromonitoring and Anesthetic Effects 2
-
- Gestational Diabetes Research and Management 6
- Co-authors
- Francesco Prada (19 shared papers)Francesco DiMeco (19 shared papers)Cecilia Casali (15 shared papers)Alessandro Perin (15 shared papers)Federico Legnani (15 shared papers)Andrea Saladino (14 shared papers)Marco Saini (9 shared papers)Ignazio G. Vetrano (11 shared papers)
- Journals
- Neuro-Oncology (3 papers)Operative Neurosurgery (3 papers)Acta Neurochirurgica (3 papers)BioMed Research International (2 papers)Neurosurgery (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Luca Mattei
28 papers receiving 858 citations
Peers
Comparison fields: 5 of 76
- Genetics 242
- Behavioral Neuroscience 42
- Radiology, Nuclear Medicine and Imaging 188
- Neurology 101
- Obstetrics and Gynecology 49
Countries citing papers authored by Luca Mattei
This map shows the geographic impact of Luca Mattei'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 Luca Mattei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Mattei more than expected).
Fields of papers citing papers by Luca Mattei
This network shows the impact of papers produced by Luca Mattei. 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 Luca Mattei. The network helps show where Luca Mattei may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Mattei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 143 | |
| 2 | 2011 | 113 | |
| 3 | 2014 | 80 | |
| 4 | 2014 | 70 | |
| 5 | 2018 | 65 | |
| 6 | 2014 | 51 | |
| 7 | 2018 | 50 | |
| 8 | 2013 | 44 | |
| 9 | 2015 | 42 | |
| 10 | 2015 | 36 | |
| 11 | 2010 | 23 | |
| 12 | 2012 | 22 | |
| 13 | 2016 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2012 | 15 | |
| 17 | 2012 | 15 | |
| 18 | 2009 | 8 | |
| 19 | 2014 | 7 | |
| 20 | 2017 | 7 |
About Luca Mattei
Luca Mattei is a scholar working on Surgery, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 32 papers that have together received 867 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (6 papers), Glioma Diagnosis and Treatment (5 papers), Meningioma and schwannoma management (4 papers), Ultrasound and Hyperthermia Applications (4 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Ultrasound Imaging and Elastography (2 papers), MRI in cancer diagnosis (2 papers) and Intraoperative Neuromonitoring and Anesthetic Effects (2 papers). The work is most often cited by research in Genetics (242 citations), Behavioral Neuroscience (42 citations), Radiology, Nuclear Medicine and Imaging (188 citations), Neurology (101 citations) and Obstetrics and Gynecology (49 citations). Luca Mattei has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Francesco Prada, Francesco DiMeco, Cecilia Casali, Alessandro Perin, Federico Legnani, Andrea Saladino, Marco Saini, Ignazio G. Vetrano, Massimiliano Del Bene and Luigi Solbiati. Their work appears in journals such as Neuro-Oncology, Operative Neurosurgery, Acta Neurochirurgica, BioMed Research International and Neurosurgery.
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.