Takuya Yagi

56 papers receiving 1.8k citations

Takuya Yagi's Hit Papers

Modeling familial Alzheimer's disease with induced pluripotent stem cells 2011 · 480 citations
4800+5+10Years since publication100200300400

Peers

Takuya Yagi
Comparison fields: 5 of 97
  • Developmental Neuroscience 121
  • Neurology 396
  • Aging 50
  • Genetics 219
  • Cellular and Molecular Neuroscience 335
Replace Chengyong Shen with:
Chengyong Shen United States
Martine Barkats France
Dongming Sun United States
Derek H. Oakley United States
Hon Kit Wong United States
Patrick A. Dreyfus France
Marijn Kuijpers Netherlands
Kayoko Tsukita Japan
Yoshihiro Nihei Japan
Virginia B. Mattis United States
Takuya Yagi relative to Chengyong Shen United States Chengyong Shen's profile →
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Chengyong Shen · 1×
Citations per year

Countries citing papers authored by Takuya Yagi

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modeling familial Alzheimer's disease with induced pluripotent stem cells
Hit paper breakdown →
2011480
2 2016125
3 2009117
4 2001115
5 201777
6 201266
7 200465
8 202057
9 201454
10 201654
11 201148
12 201843
13 200239
14 201338
15 201934
16 201729
17 201729
18 201627
19 201122
20 202221

About Takuya Yagi

Takuya Yagi is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Neurology and Epidemiology, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (10 papers), Genetic Neurodegenerative Diseases (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Alzheimer's disease research and treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Autophagy in Disease and Therapy (4 papers), Pluripotent Stem Cells Research (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Developmental Neuroscience (121 citations), Neurology (396 citations), Aging (50 citations), Genetics (219 citations) and Cellular and Molecular Neuroscience (335 citations). Takuya Yagi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Norihiro Suzuki, Daisuke Ito, Yoshihiro Nihei, Yohei Okada, Wado Akamatsu, Hideyuki Okano, Takahito Yoshizaki, Shinya Yamanaka, Kohsuke Kanekura and Fumihiko Urano. Their work appears in journals such as Human Molecular Genetics, Alzheimer s & Dementia, Scientific Reports, Journal of Cell Science and Bioorganic & Medicinal Chemistry Letters.

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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