L. Minicucci

1.2k total citations
9 papers, 923 citations indexed

About

L. Minicucci is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, L. Minicucci has authored 9 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Neurology. Recurrent topics in L. Minicucci's work include Multiple Sclerosis Research Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (3 papers). L. Minicucci is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (3 papers). L. Minicucci collaborates with scholars based in Italy and United Kingdom. L. Minicucci's co-authors include Massimo Filippi, Giancarlo Comi, Marco Rovaris, Maria A. Rocca, Gino Iannucci, Vittorio Martinelli, Maria Pia Sormani, Monica Falautano, Mark A. Horsfield and Bruno Colombo and has published in prestigious journals such as Brain, Neurology and Journal of the Neurological Sciences.

In The Last Decade

L. Minicucci

9 papers receiving 900 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
L. Minicucci Italy 9 731 300 268 251 150 9 923
Kryshani Fernando United Kingdom 14 967 1.3× 434 1.4× 236 0.9× 320 1.3× 130 0.9× 18 1.2k
Zhaleh Khaleeli United Kingdom 19 892 1.2× 277 0.9× 302 1.1× 271 1.1× 104 0.7× 27 1.1k
T Révész United Kingdom 8 735 1.0× 531 1.8× 198 0.7× 230 0.9× 167 1.1× 13 1.2k
Varun Sethi United Kingdom 16 834 1.1× 251 0.8× 337 1.3× 171 0.7× 160 1.1× 25 1000
A. Favaretto Italy 8 799 1.1× 287 1.0× 171 0.6× 250 1.0× 101 0.7× 8 854
Revere P. Kinkel United States 16 780 1.1× 257 0.9× 217 0.8× 188 0.7× 122 0.8× 27 999
Seth A. Smith United States 14 619 0.8× 183 0.6× 373 1.4× 173 0.7× 132 0.9× 25 1.1k
G. Comi Italy 12 506 0.7× 219 0.7× 155 0.6× 122 0.5× 99 0.7× 35 649
D. R. Altmann United Kingdom 15 497 0.7× 214 0.7× 98 0.4× 179 0.7× 82 0.5× 19 743
Cecilia Borrás Spain 10 892 1.2× 424 1.4× 79 0.3× 289 1.2× 71 0.5× 12 971

Countries citing papers authored by L. Minicucci

Since Specialization
Citations

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

Fields of papers citing papers by L. Minicucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Minicucci

This figure shows the co-authorship network connecting the top 25 collaborators of L. Minicucci. A scholar is included among the top collaborators of L. Minicucci 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 L. Minicucci. L. Minicucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Rovaris, Marco, Massimo Filippi, L. Minicucci, et al.. (2000). Cortical/subcortical disease burden and cognitive impairment in patients with multiple sclerosis.. American Journal of Neuroradiology. 21(2). 402–8. 154 indexed citations
2.
Sormani, Maria Pia, Giuseppe Iannucci, Maria A. Rocca, et al.. (2000). Reproducibility of magnetization transfer ratio histogram-derived measures of the brain in healthy volunteers.. PubMed. 21(1). 133–6. 30 indexed citations
3.
Iannucci, Gino, L. Minicucci, M. Rodegher, et al.. (1999). Correlations between clinical and MRI involvement in multiple sclerosis: assessment using T1, T2 and MT histograms. Journal of the Neurological Sciences. 171(2). 121–129. 59 indexed citations
4.
Smith, Stephen M., Jacqueline Palace, Sridar Narayanan, et al.. (1999). Spatial mapping of T2 and gadolinium-enhancing T1 lesion volumes in multiple sclerosis: evidence for distinct mechanisms of lesion genesis?. Brain. 122(7). 1261–1270. 77 indexed citations
5.
Dichgans, Martin, Massimo Filippi, Roland Brüning, et al.. (1999). Quantitative MRI in CADASIL. Neurology. 52(7). 1361–1361. 83 indexed citations
6.
Filippi, Massimo, Gino Iannucci, Carla Tortorella, et al.. (1999). Comparison of MS clinical phenotypes using conventional and magnetization transfer MRI. Neurology. 52(3). 588–588. 187 indexed citations
7.
Filippi, Massimo, Maria A. Rocca, L. Minicucci, et al.. (1999). Magnetization transfer imaging of patients with definite MS and negative conventional MRI. Neurology. 52(4). 845–845. 53 indexed citations
8.
Filippi, Massimo, Maria A. Rocca, Giovanna Rizzo, et al.. (1998). Magnetization transfer ratios in multiple sclerosis lesions enhancing after different doses of gadolinium. Neurology. 50(5). 1289–1293. 62 indexed citations
9.
Rovaris, Marco, Massimo Filippi, Monica Falautano, et al.. (1998). Relation between MR abnormalities and patterns of cognitive impairment in multiple sclerosis. Neurology. 50(6). 1601–1608. 218 indexed citations

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.

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