Naoki Yahata

7 papers receiving 855 citations

Naoki Yahata's Hit Papers

Modeling Alzheimer’s Disease with iPSCs Reveals Stress Phenotypes Associated with Intracellular Aβ and Differential Drug Responsiveness 2013 · 613 citations
6130+4+8Years since publication200400600

Peers

Naoki Yahata
Comparison fields: 5 of 69
  • Developmental Neuroscience 121
  • Aging 47
  • Physiology 293
  • Cellular and Molecular Neuroscience 184
  • Neurology 80
Replace Yumiko Kutoku with:
Yumiko Kutoku Japan
Andrew W. Ferree United States
Tsuneyoshi Seki Japan
Irene Fernández‐Carasa Spain
Domenico Vignone Italy
Hsin-Lan Wen United States
Christopher Lovejoy United Kingdom
Ramsey Najm United States
Kevin M. Lopez United States
Valeriya Baru United States
Naoki Yahata relative to Yumiko Kutoku Japan Yumiko Kutoku's profile →
Citations per field
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Yumiko Kutoku · 1×
Citations per year

Countries citing papers authored by Naoki Yahata

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Yahata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Modeling Alzheimer’s Disease with iPSCs Reveals Stress Phenotypes Associated with Intracellular Aβ and Differential Drug Responsiveness
Hit paper breakdown →
2013613
2 2011146
3 201760
4 202036
5 202011
6 20253
7 20101

About Naoki Yahata

Naoki Yahata is a scholar working on Physiology, Health Informatics, Cancer Research, Pharmacology and Molecular Biology, having authored 7 papers that have together received 870 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), CRISPR and Genetic Engineering (2 papers), Mitochondrial Function and Pathology (2 papers), Computational Drug Discovery Methods (1 paper), Cancer Genomics and Diagnostics (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Pluripotent Stem Cells Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Developmental Neuroscience (121 citations), Aging (47 citations), Physiology (293 citations), Cellular and Molecular Neuroscience (184 citations) and Neurology (80 citations). Naoki Yahata has collaborated with scholars based in Japan and Ireland. Frequent co-authors include Ryuji Hata, Haruhisa Inoue, Nobuhisa Iwata, Kei Maruyama, Naoki Yamamoto, Yuji Matsumoto, Shiho Kitaoka, Takashi Asada, Isao Asaka and Tatsutoshi Nakahata. Their work appears in journals such as Neuroscience Research, PLoS ONE, Molecular Therapy — Nucleic Acids, Cell stem cell and Molecular Therapy — Methods & Clinical Development.

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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