Takuya Yagi

53 papers receiving 1.7k citations

Hit Papers

Modeling familial Alzheimer's disease with induced pluripotent stem cells 2011 · 476 citations
4760+5+10Years since publication100200300400

Peers

Takuya Yagi
Comparison fields: 5 of 102
  • Developmental Neuroscience 126
  • Aging 50
  • Neurology 402
  • Genetics 233
  • Cellular and Molecular Neuroscience 362
Replace Lixiang Ma with:
Lixiang Ma China
Haipeng Xue United States
Yoshihiro Nihei Japan
Andreas Roos Germany
Patrick A. Dreyfus France
Markus Räsänen Finland
Nicholas A. DiProspero United States
Natalia Rodríguez‐Muela Spain
Derek H. Oakley United States
Takuya Yagi relative to Lixiang Ma China Lixiang Ma's profile →
Citations per field
00.5×2.8×
Lixiang Ma · 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 57 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 →
2011476
2 2016125
3 2009117
4 2001114
5 201775
6 201266
7 200465
8 202054
9 201454
10 201653
11 201148
12 201841
13 200239
14 201338
15 201932
16 201728
17 201727
18 201627
19 201122
20 202221

About Takuya Yagi

Takuya Yagi is a scholar working on Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging, Physiology and Cellular and Molecular Neuroscience, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (10 papers), Alzheimer's disease research and treatments (6 papers), Genetic Neurodegenerative Diseases (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Autophagy in Disease and Therapy (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Developmental Neuroscience (126 citations), Aging (50 citations), Neurology (402 citations), Genetics (233 citations) and Cellular and Molecular Neuroscience (362 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, Wado Akamatsu, Yohei Okada, 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, Bioorganic & Medicinal Chemistry Letters and Academic Radiology.

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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