Anna Naito

834 citations
22 papers · 570 · h-index 13

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
    • Nuclear Receptors and Signaling
    • Genetic Neurodegenerative Diseases

Papers in

Anna Naito

22 papers receiving 562 citations

Peers

Anna Naito
Comparison fields: 5 of 73
  • Neurology 338
  • Neurology 50
  • Cellular and Molecular Neuroscience 89
  • Physiology 84
  • Physical Therapy, Sports Therapy and Rehabilitation 14
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Citations per field
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Citations per year

Countries citing papers authored by Anna Naito

Since Specialization
Citations

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

Fields of papers citing papers by Anna Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017131
2 2018101
3 202452
4 201946
5 202227
6 201925
7 202125
8 202323
9 201622
10 202120
11 202319
12 202117
13 201414
14 202310
15 202310
16 20217
17 20096
18 20246
19 20194
20 20242

About Anna Naito

Anna Naito is a scholar working on Neurology, Cellular and Molecular Neuroscience, Genetics, Cognitive Neuroscience and Nephrology, having authored 22 papers that have together received 570 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), CRISPR and Genetic Engineering (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Autism Spectrum Disorder Research (2 papers), Nuclear Receptors and Signaling (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Advanced Optical Imaging Technologies (1 paper). The work is most often cited by research in Neurology (338 citations), Neurology (50 citations), Cellular and Molecular Neuroscience (89 citations), Physiology (84 citations) and Physical Therapy, Sports Therapy and Rehabilitation (14 citations). Anna Naito has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Roy N. Alcalay, James C. Beck, Jeanine Schulze, Lola P. Cook, Karen S. Marder, Michael A. Schwarzschild, MARTHA NANCE, Liana Asatryan, Anne E. Hall and Daryl L. Davies. Their work appears in journals such as npj Parkinson s Disease, Parkinsonism & Related Disorders, Genetics in Medicine, Movement Disorders and Molecular Pharmacology.

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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