Yukio Matsuba

3.5k citations
25 papers · 2.3k indexed · 2 hit papers · h-index 14

Yukio Matsuba

25 papers receiving 2.3k citations

Hit Papers

Single App knock-in mouse models of Alzheimer's disease8032013202620172021250500750

Peers

Yukio Matsuba
Comparison fields: 5 of 112
  • Biological Psychiatry 169
  • Neurology 556
  • Physiology 1.6k
  • Cellular and Molecular Neuroscience 493
  • Aging 37
Replace Wenjie Luo with:
Wenjie Luo United States
Ann Brinkmalm Sweden
Per Nilsson Sweden
Allyson D. Roe United States
Simon Dujardin United States
Norbert Žilka Slovakia
Zhanyun Fan United States
Lee‐Way Jin United States
Hwan‐Ching Tai Taiwan
Michiyo Iba United States
Yukio Matsuba relative to Wenjie Luo United States Wenjie Luo's profile →
Citations per field
00.5×1.5×
Wenjie Luo · 1×
Citations per year

Countries citing papers authored by Yukio Matsuba

Since Specialization
Citations

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

Fields of papers citing papers by Yukio Matsuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20245
4 20243
5 20242
6 202318
7 202211
8 20211
9 2019132
10 201961
11 201837
12 201853
13 201684
14
Single App knock-in mouse models of Alzheimer's diseasebreakdown →
2014803
15 201423
16
Aβ Secretion and Plaque Formation Depend on Autophagybreakdown →
2013386
17 201234
18 2011222
19 2005289
20 200576

About Yukio Matsuba

Yukio Matsuba is a scholar working on Biological Psychiatry, Physiology and Aging, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Calpain Protease Function and Regulation (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Dementia and Cognitive Impairment Research (3 papers), Nerve injury and regeneration (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Prion Diseases and Protein Misfolding (2 papers). The work is most often cited by research in Biological Psychiatry (169 citations), Neurology (556 citations) and Physiology (1.6k citations). Yukio Matsuba has collaborated with scholars based in Japan, United States and Qatar. Frequent co-authors include Takaomi C. Saido, Nobuhisa Iwata, Takashi Saito, Per Nilsson, Naomi Mihira, Jiro Takano, Shigeyoshi Itohara, Makoto Higuchi, Kumi Sato and Kazumi Sasamoto. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

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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