Daniele Mascali

58 total papers · 930 total citations
19 papers, 242 citations indexed

About

Daniele Mascali is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Daniele Mascali has authored 19 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Daniele Mascali's work include Functional Brain Connectivity Studies (11 papers), Advanced MRI Techniques and Applications (9 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Daniele Mascali is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Advanced MRI Techniques and Applications (9 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Daniele Mascali collaborates with scholars based in Italy, United States and United Kingdom. Daniele Mascali's co-authors include Federico Giove, Mauro DiNuzzo, Marta Moraschi, Silvia Mangia, Michela Fratini, Marco Bozzali, B. Maraviglia, Tommaso Gili, Laura Serra and Laura Maugeri and has published in prestigious journals such as PLoS ONE, NeuroImage and Diabetes.

In The Last Decade

Daniele Mascali

18 papers receiving 240 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniele Mascali 172 63 34 34 22 19 242
Yin Mo 170 1.0× 106 1.7× 23 0.7× 35 1.0× 17 0.8× 17 311
Vincenzo Alfano 133 0.8× 51 0.8× 19 0.6× 49 1.4× 19 0.9× 23 269
Marta Moraschi 193 1.1× 105 1.7× 28 0.8× 51 1.5× 33 1.5× 26 318
Carlo Rondinoni 156 0.9× 90 1.4× 25 0.7× 51 1.5× 20 0.9× 22 288
Jing Wei 194 1.1× 56 0.9× 18 0.5× 32 0.9× 41 1.9× 26 311
Jonathan R. Young 113 0.7× 49 0.8× 38 1.1× 68 2.0× 11 0.5× 16 275
Jianyue Pang 154 0.9× 40 0.6× 23 0.7× 60 1.8× 16 0.7× 23 292
Chun‐Yi Zac Lo 100 0.6× 64 1.0× 27 0.8× 49 1.4× 44 2.0× 22 251
Chunrong Luo 205 1.2× 104 1.7× 32 0.9× 40 1.2× 19 0.9× 14 329
Taira Uehara 162 0.9× 25 0.4× 40 1.2× 35 1.0× 28 1.3× 34 234

Countries citing papers authored by Daniele Mascali

Since Specialization
Citations

This map shows the geographic impact of Daniele Mascali'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 Daniele Mascali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Mascali more than expected).

Fields of papers citing papers by Daniele Mascali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele Mascali. 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 Daniele Mascali. The network helps show where Daniele Mascali may publish in the future.

Co-authorship network of co-authors of Daniele Mascali

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Mascali. A scholar is included among the top collaborators of Daniele Mascali based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniele Mascali. Daniele Mascali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026