Daniel Ryu

467 citations
16 papers · 231 · h-index 9

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Amyotrophic Lateral Sclerosis Research
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Alzheimer's disease research and treatments

Papers in

    • Alzheimer's disease research and treatments 10
    • Neuroinflammation and Neurodegeneration Mechanisms 6
    • Parkinson's Disease Mechanisms and Treatments 4

Daniel Ryu

16 papers receiving 229 citations

Peers

Daniel Ryu
Comparison fields: 5 of 56
  • Neurology 77
  • Neurology 81
  • Physiology 107
  • Biological Psychiatry 9
  • Cellular and Molecular Neuroscience 61
Replace Shamiram Melhem with:
Shamiram Melhem Netherlands
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Audrey Coens France
Kana Hamada United States
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Hanneke Geut Netherlands
Niko-Petteri Nykänen United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202256
2 201935
3 201832
4 201927
5 201721
6 202115
7 202012
8 202210
9 20219
10 20245
11 20183
12 20202
13 20221
14 20201
15 20201
16
Wind Shielding Estimation of a Vessel in Side by Side Configuration using Disturbed Velocity Field from CFD
20181

About Daniel Ryu

Daniel Ryu is a scholar working on Physiology, Neurology, Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 16 papers that have together received 231 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Nuclear Receptors and Signaling (2 papers), Dementia and Cognitive Impairment Research (2 papers), Cellular transport and secretion (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Neurology (77 citations), Neurology (81 citations), Physiology (107 citations), Biological Psychiatry (9 citations) and Cellular and Molecular Neuroscience (61 citations). Daniel Ryu has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Todd E. Golde, Benoit I. Giasson, Paramita Chakrabarty, Nikolaus R. McFarland, Mayur Parmar, Pedro E. Cruz, Hyo‐Jin Park, Cara L. Croft, Marshall S. Goodwin and Dennis W. Dickson. Their work appears in journals such as Alzheimer s & Dementia, iScience, Alzheimer s Research & Therapy, Nature Communications and Acta Neuropathologica.

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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