Kensuke Daida

1.0k citations
24 papers · 233 · h-index 11

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Genetic Neurodegenerative Diseases
    • Nuclear Receptors and Signaling

Papers in

    • Parkinson's Disease Mechanisms and Treatments 14
    • Neurological disorders and treatments 9
    • Neurological diseases and metabolism 4
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Autoimmune Neurological Disorders and Treatments 2
    • Intracerebral and Subarachnoid Hemorrhage Research 2
    • RNA regulation and disease 3

Kensuke Daida

23 papers receiving 229 citations

Peers

Kensuke Daida
Comparison fields: 5 of 49
  • Neurology 159
  • Neurology 47
  • Cellular and Molecular Neuroscience 59
  • Physiology 45
  • Complementary and alternative medicine 10
Replace Yosef Berlyand with:
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Citations per field
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Citations per year

Countries citing papers authored by Kensuke Daida

Since Specialization
Citations

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

Fields of papers citing papers by Kensuke Daida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201728
2 201928
3 202225
4 201821
5 202220
6 202016
7 202315
8 202114
9 201612
10 201712
11 201910
12 20206
13 20206
14 20203
15 20193
16 20193
17 20242
18 20252
19 20202
20 20222

About Kensuke Daida

Kensuke Daida is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 24 papers that have together received 233 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (14 papers), Neurological disorders and treatments (9 papers), Neurological diseases and metabolism (4 papers), Genetic Neurodegenerative Diseases (3 papers), RNA regulation and disease (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Autoimmune Neurological Disorders and Treatments (2 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). The work is most often cited by research in Neurology (159 citations), Neurology (47 citations), Cellular and Molecular Neuroscience (59 citations), Physiology (45 citations) and Complementary and alternative medicine (10 citations). Kensuke Daida has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Nobutaka Hattori, Kenya Nishioka, Hiroyo Yoshino, Taku Hatano, Ayami Okuzumi, Manabu Funayama, Genko Oyama, Yuta Ishiguro, Shigeki Aoki and Koji Kamagata. Their work appears in journals such as Movement Disorders, BMC Neurology, Parkinsonism & Related Disorders, Neurobiology of Aging and Frontiers in Neurology.

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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