Daniela Grasso

676 citations
10 papers · 328 · h-index 7

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 3
    • Intracerebral and Subarachnoid Hemorrhage Research 2
    • Neurogenetic and Muscular Disorders Research 2

Daniela Grasso

10 papers receiving 320 citations

Peers

Daniela Grasso
Comparison fields: 5 of 56
  • Neurology 253
  • Genetics 141
  • Neurology 37
  • Biochemistry 19
  • Speech and Hearing 17
Replace P Lamberti with:
P Lamberti Italy
Anne E Visser Netherlands
Susan Heggie Australia
Stefano Zoccolella Italy
Vito Guerra Italy
Kristin Samuelsson Sweden
Pamela Kittrell United States
Mike A. Singer United States
Ervin Sinani United States
Christina Fournier United States
Daniela Grasso relative to P Lamberti Italy P Lamberti's profile →
Citations per field
00.5×3.2×
P Lamberti · 1×
Citations per year

Countries citing papers authored by Daniela Grasso

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Grasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2014198
2 201742
3 201424
4 201619
5 201817
6 202111
7 20166
8 20206
9 20134
10 20151

About Daniela Grasso

Daniela Grasso is a scholar working on Neurology, Genetics, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 328 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Neurological and metabolic disorders (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Nerve Injury and Rehabilitation (1 paper), Alzheimer's disease research and treatments (1 paper) and Musculoskeletal pain and rehabilitation (1 paper). The work is most often cited by research in Neurology (253 citations), Genetics (141 citations), Neurology (37 citations), Biochemistry (19 citations) and Speech and Hearing (17 citations). Daniela Grasso has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Eric A. Macklin, Tahseen Mozaffar, Jonathan Katz, Hong Yu, Anne‐Marie Wills, Hiroshi Mitsumoto, Jane Hubbard, Jonathan D. Glass, Merit Cudkowicz and Rup Tandan. Their work appears in journals such as Muscle & Nerve, Parkinson s Disease, The Lancet, Neurology and Journal of Alzheimer s Disease.

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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