Amy E. Innes

606 citations
8 papers · 509 · h-index 5

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Genetic Neurodegenerative Diseases 2
    • Neuroscience and Neuropharmacology Research 2
    • Hereditary Neurological Disorders 2
    • Amyotrophic Lateral Sclerosis Research 3
    • Parkinson's Disease Mechanisms and Treatments 3

Amy E. Innes

7 papers receiving 499 citations

Peers

Amy E. Innes
Comparison fields: 5 of 52
  • Neurology 227
  • Biological Psychiatry 30
  • Neurology 95
  • Physiology 251
  • Cellular and Molecular Neuroscience 96
Replace Younghwi Kwon with:
Younghwi Kwon South Korea
Jean‐Jacques Hauw France
Veerle Bogaerts Belgium
Samantha Boudeau United States
Bilal Khalil United States
Alice L. Taubes United States
Youssef Sibih United States
Marc Gistelinck Belgium
Ilker Karaca Germany
Noga Gershoni‐Emek Israel
Amy E. Innes relative to Younghwi Kwon South Korea Younghwi Kwon's profile →
Citations per field
00.5×5×10×15.3×
Younghwi Kwon · 1×
Citations per year

Countries citing papers authored by Amy E. Innes

Since Specialization
Citations

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

Fields of papers citing papers by Amy E. Innes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2010253
2 2010133
3 200955
4 201745
5 201217
6 20105
7 20091
8 20250

About Amy E. Innes

Amy E. Innes is a scholar working on Cellular and Molecular Neuroscience, Neurology, Physiology, Neurology and Genetics, having authored 8 papers that have together received 509 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Alzheimer's disease research and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Heat shock proteins research (2 papers), Genetic Neurodegenerative Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Hereditary Neurological Disorders (2 papers) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Neurology (227 citations), Biological Psychiatry (30 citations), Neurology (95 citations), Physiology (251 citations) and Cellular and Molecular Neuroscience (96 citations). Amy E. Innes has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Eileen M. McGowan, Dennis W. Dickson, Wen-Lang Lin, Suzanne J. Randle, Malcolm A. Leissring, Jada M. Lewis, Masugi Nishihara, Xin Yu, Jennifer M. Gass and Jing Xia. Their work appears in journals such as Alzheimer s & Dementia, American Journal Of Pathology, Genetics in Medicine, Human Molecular Genetics and Journal of the Peripheral Nervous System.

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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