Laura E. Danielian

1.1k citations
17 papers · 828 · h-index 12

Impact in

  • Neurology top 2%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

Laura E. Danielian

15 papers receiving 807 citations

Peers

Laura E. Danielian
Comparison fields: 5 of 77
  • Neurology 505
  • Neurology 108
  • Genetics 127
  • Radiology, Nuclear Medicine and Imaging 188
  • Cellular and Molecular Neuroscience 88
Replace Susanne Abdulla with:
Susanne Abdulla Germany
Alexander Unrath Germany
Mark Gudesblatt United States
F. Torny France
Anne‐Dorte Sperfeld Germany
Rangariroyashe H. Chipika Ireland
Stacey Li Hi Shing Ireland
Eoin Finegan Ireland
Scott Fujimoto United States
Paweł Sokal Poland
Laura E. Danielian relative to Susanne Abdulla Germany Susanne Abdulla's profile →
Citations per field
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Susanne Abdulla · 1×
Citations per year

Countries citing papers authored by Laura E. Danielian

Since Specialization
Citations

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

Fields of papers citing papers by Laura E. Danielian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura E. Danielian. 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 Laura E. Danielian. The network helps show where Laura E. Danielian may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012219
2 2011104
3 200997
4 200871
5 201268
6 201658
7 201452
8 201747
9 201739
10 201821
11 201320
12 201317
13 200710
14 20204
15 20141
16 20230
17 20210

About Laura E. Danielian

Laura E. Danielian is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 17 papers that have together received 828 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Alzheimer's disease research and treatments (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Cerebral Palsy and Movement Disorders (2 papers), Genetic Neurodegenerative Diseases (2 papers), Motor Control and Adaptation (2 papers) and Healthcare Decision-Making and Restraints (1 paper). The work is most often cited by research in Neurology (505 citations), Neurology (108 citations), Genetics (127 citations), Radiology, Nuclear Medicine and Imaging (188 citations) and Cellular and Molecular Neuroscience (88 citations). Laura E. Danielian has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Mary Kay Floeter, Justin Kwan, David Thomasson, Elham Bayat, Tianxia Wu, John A. Butman, Nobue K. Iwata, Avner Meoded, Laura Braun and Eva H. Baker. Their work appears in journals such as NeuroImage Clinical, Neurology, Neuroradiology, Restorative Neurology and Neuroscience and Muscle & Nerve.

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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