Taito Matsuda

1.1k total citations
26 papers, 820 citations indexed

About

Taito Matsuda is a scholar working on Molecular Biology, Developmental Neuroscience and Neurology. According to data from OpenAlex, Taito Matsuda has authored 26 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Developmental Neuroscience and 8 papers in Neurology. Recurrent topics in Taito Matsuda's work include Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Pluripotent Stem Cells Research (5 papers). Taito Matsuda is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Pluripotent Stem Cells Research (5 papers). Taito Matsuda collaborates with scholars based in Japan, United States and Germany. Taito Matsuda's co-authors include Kinichi Nakashima, Naoya Murao, M Kuwano, Shuzo Matsubara, Shizuo Akira, Jun Kohyama, Berry Juliandi, Taro Kawai, Atsuhiko Sakai and Takashi Irie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Taito Matsuda

25 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taito Matsuda Japan 15 466 257 189 152 98 26 820
Edward C. Hurlock United States 8 475 1.0× 463 1.8× 252 1.3× 196 1.3× 206 2.1× 8 888
Wei‐Ming Duan China 17 421 0.9× 192 0.7× 276 1.5× 154 1.0× 39 0.4× 32 871
Sarah Moyon United States 13 370 0.8× 428 1.7× 168 0.9× 333 2.2× 131 1.3× 16 825
Devon S. Svoboda Canada 9 784 1.7× 205 0.8× 120 0.6× 165 1.1× 110 1.1× 13 1.2k
Ikuri Álvarez-Maya Mexico 8 452 1.0× 182 0.7× 170 0.9× 64 0.4× 99 1.0× 17 756
Stéphane Genoud United States 6 271 0.6× 336 1.3× 173 0.9× 136 0.9× 87 0.9× 9 654
Lachlan Harris Australia 18 693 1.5× 348 1.4× 145 0.8× 103 0.7× 176 1.8× 32 935
Radmila Filipovic United States 11 280 0.6× 323 1.3× 210 1.1× 94 0.6× 76 0.8× 12 629
Ginez A. González United Kingdom 9 368 0.8× 237 0.9× 103 0.5× 163 1.1× 59 0.6× 11 765
Seonhee Kim United States 7 468 1.0× 353 1.4× 310 1.6× 75 0.5× 71 0.7× 8 849

Countries citing papers authored by Taito Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Taito Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taito Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Taito Matsuda. A scholar is included among the top collaborators of Taito Matsuda 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 Taito Matsuda. Taito Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Matsubara, Shuzo, Takumi Nakagawa, Naoya Murao, et al.. (2025). Epigenetic regulation of neural stem cell aging in the mouse hippocampus by Setd8 downregulation. The EMBO Journal. 44(13). 3645–3668. 1 indexed citations
2.
Murao, Naoya, Taito Matsuda, Hisae Kadowaki, et al.. (2024). The Derlin-1-Stat5b axis maintains homeostasis of adult hippocampal neurogenesis. EMBO Reports. 25(8). 3678–3706. 3 indexed citations
3.
4.
Irie, Takashi & Taito Matsuda. (2024). In vivo direct neuronal conversion as a therapeutic strategy for ischemic stroke. Neural Regeneration Research. 20(8). 2309–2310.
5.
Irie, Takashi, et al.. (2023). Lineage tracing identifies in vitro microglia‐to‐neuron conversion by NeuroD1 expression. Genes to Cells. 28(7). 526–534. 7 indexed citations
6.
Matsuda, Taito, et al.. (2022). Expression level of the reprogramming factor NeuroD1 is critical for neuronal conversion efficiency from different cell types. Scientific Reports. 12(1). 17980–17980. 13 indexed citations
7.
Matsuda, Taito & Kinichi Nakashima. (2020). Natural and forced neurogenesis in the adult brain: Mechanisms and their possible application to treat neurological disorders. Neuroscience Research. 166. 1–11. 7 indexed citations
8.
Matsuda, Taito, Takashi Irie, Shutaro Katsurabayashi, et al.. (2019). Pioneer Factor NeuroD1 Rearranges Transcriptional and Epigenetic Profiles to Execute Microglia-Neuron Conversion. Neuron. 101(3). 472–485.e7. 153 indexed citations
9.
Murao, Naoya, Shuzo Matsubara, Taito Matsuda, et al.. (2018). Np95/Uhrf1 regulates tumor suppressor gene expression of neural stem/precursor cells, contributing to neurogenesis in the adult mouse brain. Neuroscience Research. 143. 31–43. 3 indexed citations
10.
Zhu, Yicheng, Yusuke Fujimoto, Taito Matsuda, et al.. (2018). Prior Treatment with Anti-High Mobility Group Box-1 Antibody Boosts Human Neural Stem Cell Transplantation-Mediated Functional Recovery After Spinal Cord Injury. Stem Cells. 36(5). 737–750. 29 indexed citations
11.
Brulet, Rebecca, Taito Matsuda, Ling Zhang, et al.. (2017). NEUROD1 Instructs Neuronal Conversion in Non-Reactive Astrocytes. Stem Cell Reports. 8(6). 1506–1515. 79 indexed citations
12.
Nakashima, Hideyuki, et al.. (2017). Hypoxia Epigenetically Confers Astrocytic Differentiation Potential on Human Pluripotent Cell-Derived Neural Precursor Cells. Stem Cell Reports. 8(6). 1743–1756. 22 indexed citations
13.
Noguchi, Hirofumi, et al.. (2016). DNA Methyltransferase 1 Is Indispensable for Development of the Hippocampal Dentate Gyrus. Journal of Neuroscience. 36(22). 6050–6068. 31 indexed citations
14.
Matsuda, Taito, Naoya Murao, Berry Juliandi, et al.. (2015). TLR9 signalling in microglia attenuates seizure-induced aberrant neurogenesis in the adult hippocampus. Nature Communications. 6(1). 6514–6514. 109 indexed citations
15.
Kato, Hidenori, Haruhiko Kondoh, Takafumi Inoue, et al.. (2004). Expression of DCC and netrin-1 in normal human endometrium and its implication in endometrial carcinogenesis. Gynecologic Oncology. 95(2). 281–289. 8 indexed citations
16.
Kato, Hidenori, Yosuke Terao, Masanobu Ogawa, et al.. (2002). Growth-associated Gene Expression Profiles by Microarray Analysis of Trophoblast of Molar Pregnancies and Normal Villi. International Journal of Gynecological Pathology. 21(3). 255–260. 23 indexed citations
17.
Kondo, Haruhiko, Yong Zhou, Kiyoko Kato, et al.. (2001). Genetic Origin of Malignant Trophoblastic Neoplasms Analyzed by Sequence Tag Site Polymorphic Markers. Gynecologic Oncology. 81(2). 247–253. 17 indexed citations
18.
Kato, Hidenori, Yong Zhou, Kazuo Asanoma, et al.. (2000). Suppressed tumorigenicity of human endometrial cancer cells by the restored expression of the DCC gene. British Journal of Cancer. 82(2). 459–466. 29 indexed citations
19.
Okamura, Kazuki, Yasufumi Sato, Taito Matsuda, et al.. (1991). Endogenous basic fibroblast growth factor-dependent induction of collagenase and interleukin-6 in tumor necrosis factor-treated human microvascular endothelial cells.. Journal of Biological Chemistry. 266(29). 19162–19165. 72 indexed citations
20.

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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