Taizo Ishikawa

465 total citations
8 papers, 378 citations indexed

About

Taizo Ishikawa is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Taizo Ishikawa has authored 8 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Physiology and 2 papers in Neurology. Recurrent topics in Taizo Ishikawa's work include Alzheimer's disease research and treatments (5 papers), Pluripotent Stem Cells Research (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Taizo Ishikawa is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Pluripotent Stem Cells Research (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Taizo Ishikawa collaborates with scholars based in Japan, Sweden and Germany. Taizo Ishikawa's co-authors include Michael T. Heneka, Mitsugu Yamanaka, Markus P. Kummer, Angelika Griep, Haruhisa Inoue, Takayuki Kondo, Keiko Imamura, Ryōsuke Takahashi, Susanne Frykman and Yasuhiro Teranishi and has published in prestigious journals such as Journal of Neuroscience, Biochemical and Biophysical Research Communications and Human Molecular Genetics.

In The Last Decade

Taizo Ishikawa

8 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Taizo Ishikawa Japan 5 191 152 150 73 66 8 378
Djuna von Maydell United States 5 181 0.9× 152 1.0× 173 1.2× 42 0.6× 57 0.9× 6 377
Kazumi Motoki Japan 12 180 0.9× 230 1.5× 115 0.8× 87 1.2× 67 1.0× 16 547
Jerry B. Hunt United States 8 151 0.8× 122 0.8× 181 1.2× 54 0.7× 84 1.3× 13 366
Bo‐Ran Choi United States 8 168 0.9× 176 1.2× 94 0.6× 73 1.0× 32 0.5× 16 478
Rengong Zhuo China 15 98 0.5× 209 1.4× 142 0.9× 91 1.2× 82 1.2× 29 496
Anaïs Mounier United States 10 135 0.7× 207 1.4× 85 0.6× 41 0.6× 51 0.8× 10 407
Kenji Suzuki Japan 13 203 1.1× 156 1.0× 71 0.5× 63 0.9× 28 0.4× 24 427
Tomonori Aikawa United States 9 187 1.0× 190 1.3× 112 0.7× 78 1.1× 28 0.4× 12 401
Laís S. S. Ferreira Brazil 4 151 0.8× 122 0.8× 134 0.9× 42 0.6× 51 0.8× 4 384
Evangelina Ávila-Muñoz Mexico 8 173 0.9× 159 1.0× 133 0.9× 83 1.1× 27 0.4× 9 447

Countries citing papers authored by Taizo Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Taizo Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taizo Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Taizo Ishikawa. A scholar is included among the top collaborators of Taizo Ishikawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Taizo Ishikawa. Taizo Ishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Seki, Chie, Hiroyuki Takuwa, Jun Maeda, et al.. (2020). Activation of Nav1.1 ameliorates tau pathology and brain atrophy in a mouse model of tauopathy. Alzheimer s & Dementia. 16(S9). 1 indexed citations
2.
Murakami, Nagahisa, Taizo Ishikawa, Takayuki Kondo, et al.. (2017). Establishment of DYT5 patient-specific induced pluripotent stem cells with a GCH1 mutation. Stem Cell Research. 24. 36–39. 1 indexed citations
3.
Ishikawa, Taizo, Keiko Imamura, Takayuki Kondo, et al.. (2016). Genetic and pharmacological correction of aberrant dopamine synthesis using patient iPSCs with BH4 metabolism disorders. Human Molecular Genetics. 25(23). ddw339–ddw339. 38 indexed citations
4.
Mishima, Takayasu, Taizo Ishikawa, Keiko Imamura, et al.. (2016). Cytoplasmic aggregates of dynactin in iPSC-derived tyrosine hydroxylase-positive neurons from a patient with Perry syndrome. Parkinsonism & Related Disorders. 30. 67–72. 17 indexed citations
5.
Teranishi, Yasuhiro, Mitsuhiro Inoue, Birgitta Wiehager, et al.. (2015). Proton myo‐inositol cotransporter is a novel γ‐secretase associated protein that regulates Aβ production without affecting Notch cleavage. FEBS Journal. 282(17). 3438–3451. 23 indexed citations
6.
Inoue, Mitsuhiro, et al.. (2014). O5‐04‐04: NEURON‐SELECTIVE GAMMA‐SECRETASE INTERACTIONS WITH PROTEINS EXPRESSED IN HUMAN BRAIN. Alzheimer s & Dementia. 10(4S_Part_5). 2 indexed citations
7.
Teranishi, Yasuhiro, Ji‐Yeun Hur, Taizo Ishikawa, et al.. (2012). Erlin-2 is associated with active γ-secretase in brain and affects amyloid β-peptide production. Biochemical and Biophysical Research Communications. 424(3). 476–481. 16 indexed citations
8.
Yamanaka, Mitsugu, et al.. (2012). PPARγ/RXRα-Induced and CD36-Mediated Microglial Amyloid-β Phagocytosis Results in Cognitive Improvement in Amyloid Precursor Protein/Presenilin 1 Mice. Journal of Neuroscience. 32(48). 17321–17331. 280 indexed citations

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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2026