Luca Maderna

1.8k citations
31 papers · 681 · h-index 13

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Botulinum Toxin and Related Neurological Disorders
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 17
    • Parkinson's Disease Mechanisms and Treatments 9
    • Botulinum Toxin and Related Neurological Disorders 5
    • Neurological disorders and treatments 3
    • Transcranial Magnetic Stimulation Studies 2
    • Neurogenetic and Muscular Disorders Research 10

Luca Maderna

30 papers receiving 657 citations

Peers

Luca Maderna
Comparison fields: 5 of 81
  • Neurology 345
  • Neurology 91
  • Genetics 115
  • Rehabilitation 53
  • Orthopedics and Sports Medicine 67
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Citations per field
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Citations per year

Countries citing papers authored by Luca Maderna

Since Specialization
Citations

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

Fields of papers citing papers by Luca Maderna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Maderna, 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 Luca Maderna Line = papers co-authored together Luca Maderna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999154
2 200094
3 200860
4 199447
5 201840
6 201139
7 201735
8 201830
9 200027
10 202223
11 201122
12 201913
13 202312
14 202312
15 202310
16 20179
17 20238
18 20198
19 20198
20 20217

About Luca Maderna

Luca Maderna is a scholar working on Neurology, Genetics, Surgery, Physiology and Molecular Biology, having authored 31 papers that have together received 681 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (17 papers), Neurogenetic and Muscular Disorders Research (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Neurological disorders and treatments (3 papers), Muscle activation and electromyography studies (3 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (345 citations), Neurology (91 citations), Genetics (115 citations), Rehabilitation (53 citations) and Orthopedics and Sports Medicine (67 citations). Luca Maderna has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Gıancarlo Comı, Roberto Merletti, Loredana Lo Conte, Alberto Rainoldi, G. Galardi, Vincenzo Silani, Claudia Morelli, Alberto Doretti, Nicola Ticozzi and Massimo Filippi. Their work appears in journals such as Neurological Sciences, Clinical Neurophysiology, Journal of Neurology, Frontiers in Neurology and American Journal of Physical Medicine & Rehabilitation.

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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