L. Motti

498 citations
14 papers · 390 · h-index 10

Impact in

    • Multiple Sclerosis Research Studies
    • Systemic Sclerosis and Related Diseases
    • Peripheral Neuropathies and Disorders
    • Amyotrophic Lateral Sclerosis Research

Papers in

L. Motti

13 papers receiving 371 citations

Peers

L. Motti
Comparison fields: 5 of 55
  • Pathology and Forensic Medicine 197
  • Neurology 77
  • Genetics 44
  • Developmental Neuroscience 15
  • Cellular and Molecular Neuroscience 58
Replace Ram Narayan with:
Ram Narayan United States
Sana Syed United States
Sophie Pittion France
MR Tola Italy
Jurģis Strautmanis Latvia
Alessandro Dinoto Italy
Wanda Castro-Borrero United States
Clémence Boutière France
Virginia Meca‐Lallana Spain
Francisco Gascón Spain
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Citations per field
00.5×2×3.3×
Ram Narayan · 1×
Citations per year

Countries citing papers authored by L. Motti

Since Specialization
Citations

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

Fields of papers citing papers by L. Motti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside L. Motti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Motti Line = papers co-authored together L. Motti links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2011113
2 200594
3 199656
4 199024
5 201523
6 201219
7 201815
8 201512
9 199512
10 199412
11 20157
12 20082
13 20171
14 20080

About L. Motti

L. Motti is a scholar working on Neurology, Pathology and Forensic Medicine, Neurology, Cellular and Molecular Neuroscience and Emergency Medicine, having authored 14 papers that have together received 390 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), Genetic Neurodegenerative Diseases (2 papers), Hereditary Neurological Disorders (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), EEG and Brain-Computer Interfaces (1 paper), Neurological diseases and metabolism (1 paper) and Powdery Mildew Fungal Diseases (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (197 citations), Neurology (77 citations), Genetics (44 citations), Developmental Neuroscience (15 citations) and Cellular and Molecular Neuroscience (58 citations). L. Motti has collaborated with scholars based in Italy, France and Australia. Frequent co-authors include Andrew James Mackinnon, Gian Maria Galeazzi, Giovanni Giaroli, Elisa Merelli, Sílvia Ferrari, Marco Rigatelli, Donata Guidetti, Maria Cristina Patrosso, Franco Gemignani and A Marbini. Their work appears in journals such as Multiple Sclerosis Journal, Neurological Sciences, Clinical Neurophysiology, Journal of Neurology and Journal of the Neurological Sciences.

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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