Daita Kaneda

670 citations
39 papers · 402 · h-index 10

Impact in

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

Papers in

    • RNA regulation and disease 5
    • Mitochondrial Function and Pathology 4
    • Parkinson's Disease Mechanisms and Treatments 13
    • Amyotrophic Lateral Sclerosis Research 3
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Daita Kaneda

37 papers receiving 396 citations

Peers

Daita Kaneda
Comparison fields: 5 of 72
  • Neurology 70
  • Biological Psychiatry 21
  • Neurology 110
  • Cellular and Molecular Neuroscience 79
  • Physiology 101
Replace Daniele Tolomeo with:
Daniele Tolomeo Italy
Barbara Pijet Poland
Diede W. M. Broekaart Netherlands
Yi Jayne Tan Singapore
Erin Furr‐Stimming United States
Anikó Gál Hungary
Rosie Freer United Kingdom
Carina Halleskog Sweden
Sara L. Domínguez United States
Marius Lambert Germany
Daita Kaneda relative to Daniele Tolomeo Italy Daniele Tolomeo's profile →
Citations per field
00.5×1.5×1.9×
Daniele Tolomeo · 1×
Citations per year

Countries citing papers authored by Daita Kaneda

Since Specialization
Citations

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

Fields of papers citing papers by Daita Kaneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 201146
3 201341
4 201639
5 200333
6 200918
7 200715
8 202115
9 200813
10 201612
11 20237
12 20236
13 20176
14 20226
15 20216
16 20226
17 20165
18 20235
19 20245
20 20215

About Daita Kaneda

Daita Kaneda is a scholar working on Molecular Biology, Neurology, Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 39 papers that have together received 402 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (13 papers), Alzheimer's disease research and treatments (12 papers), Genetic Neurodegenerative Diseases (6 papers), RNA regulation and disease (5 papers), Dementia and Cognitive Impairment Research (4 papers), Mitochondrial Function and Pathology (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (70 citations), Biological Psychiatry (21 citations), Neurology (110 citations), Cellular and Molecular Neuroscience (79 citations) and Physiology (101 citations). Daita Kaneda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masayuki Shintaku, Ichizo Nishino, Ikuya Nonaka, Akiyoshi Kakita, K Ozawa, Takaoki Kasahara, Atsushi Takata, Tadafumi Kato, Hiroaki Mizukami and Mie Kubota‐Sakashita. Their work appears in journals such as Journal of Alzheimer s Disease, Neuropathology, Clinical Neuropathology, Biomedicines and Magnetic Resonance in Medical Sciences.

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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