D. Monza

733 citations
11 papers · 584 · h-index 11

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Botulinum Toxin and Related Neurological Disorders
    • Genetic Neurodegenerative Diseases

Papers in

    • Neurological disorders and treatments 6
    • Parkinson's Disease Mechanisms and Treatments 5
    • Botulinum Toxin and Related Neurological Disorders 4
    • Transcranial Magnetic Stimulation Studies 1
    • Genetic Neurodegenerative Diseases 5

D. Monza

11 papers receiving 555 citations

Peers

D. Monza
Comparison fields: 5 of 50
  • Neurology 384
  • Cellular and Molecular Neuroscience 265
  • Neurology 73
  • Psychiatry and Mental health 49
  • Cognitive Neuroscience 50
Replace C. S. Lee with:
C. S. Lee Canada
Fusako Yokochi Japan
Nathaniel R. Whaley United States
Jorge Hernández‐Vara Spain
J. Andrich Germany
Marie-Hélène Marion United Kingdom
F. Yekhlef France
Anne D. Sperfeld Germany
M. J. Martí Spain
Arlene Lawton United States
D. Monza relative to C. S. Lee Canada C. S. Lee's profile →
Citations per field
00.5×1.5×
C. S. Lee · 1×
Citations per year

Countries citing papers authored by D. Monza

Since Specialization
Citations

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

Fields of papers citing papers by D. Monza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1999142
2 199684
3 201175
4 199971
5 200169
6 199857
7 199523
8 200321
9 200218
10 200313
11 199711

About D. Monza

D. Monza is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Rheumatology, having authored 11 papers that have together received 584 indexed citations. Recurring topics across this work include Neurological disorders and treatments (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Genetic Neurodegenerative Diseases (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Ubiquitin and proteasome pathways (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Treatment of Major Depression (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Neurology (384 citations), Cellular and Molecular Neuroscience (265 citations), Neurology (73 citations), Psychiatry and Mental health (49 citations) and Cognitive Neuroscience (50 citations). D. Monza has collaborated with scholars based in Italy and United States. Frequent co-authors include F. Girotti, Paola Soliveri, D. Testa, V. Fetoni, Davide Radice, Dominga Paridi, T. Caraceni, Marina Grisoli, M. Savoiardo and Graziella Filippini. Their work appears in journals such as Neurological Sciences, Journal of Neurology Neurosurgery & Psychiatry, Clinical Neuropharmacology, Journal of Neurology and Neurology.

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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