Michiya Sugimori

2.4k total citations
17 papers, 1.9k citations indexed

About

Michiya Sugimori is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michiya Sugimori has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Developmental Neuroscience and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michiya Sugimori's work include Neurogenesis and neuroplasticity mechanisms (8 papers), Pluripotent Stem Cells Research (4 papers) and Developmental Biology and Gene Regulation (4 papers). Michiya Sugimori is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (8 papers), Pluripotent Stem Cells Research (4 papers) and Developmental Biology and Gene Regulation (4 papers). Michiya Sugimori collaborates with scholars based in Japan, United States and Australia. Michiya Sugimori's co-authors include Masato Nakafuku, Motoshi Nagao, Hidetaka Kosako, Hirohide Takebayashi, Shosei Yoshida, Carlos Parras, François Guillemot, Yo-ichi Nabeshima, Cecilia Lundberg and Ryo Kominami and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Michiya Sugimori

17 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michiya Sugimori Japan 14 1.3k 1.2k 556 378 237 17 1.9k
Motoshi Nagao Japan 20 853 0.7× 1.3k 1.1× 584 1.1× 269 0.7× 177 0.7× 30 2.0k
Samuel Weiss Canada 5 1.3k 1.1× 1.0k 0.8× 805 1.4× 218 0.6× 277 1.2× 7 1.9k
Alexandra Capela United States 12 1.1k 0.9× 1.4k 1.1× 575 1.0× 247 0.7× 317 1.3× 17 2.1k
Laurence Decker France 14 1.2k 1.0× 752 0.6× 651 1.2× 281 0.7× 184 0.8× 17 2.0k
Sovann Kaing United States 13 757 0.6× 946 0.8× 311 0.6× 457 1.2× 103 0.4× 14 2.1k
Tetsushi Kagawa Japan 23 780 0.6× 1.1k 0.9× 581 1.0× 205 0.5× 97 0.4× 36 1.8k
Virginia Avellana‐Adalid France 19 988 0.8× 725 0.6× 524 0.9× 239 0.6× 179 0.8× 24 1.6k
Matteo Rizzi United Kingdom 12 941 0.8× 1.1k 0.9× 867 1.6× 251 0.7× 129 0.5× 15 2.1k
Aurélie Ernst Germany 15 576 0.5× 908 0.7× 377 0.7× 355 0.9× 308 1.3× 28 1.8k
Devin Chandler-Militello United States 16 520 0.4× 1.3k 1.0× 486 0.9× 226 0.6× 188 0.8× 22 1.9k

Countries citing papers authored by Michiya Sugimori

Since Specialization
Citations

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

Fields of papers citing papers by Michiya Sugimori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiya Sugimori

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

All Works

17 of 17 papers shown
1.
Sugimori, Michiya, Yumiko Hayakawa, Ryoi Tamura, & Satoshi Kuroda. (2019). The combined efficacy of OTS964 and temozolomide for reducing the size of power-law coded heterogeneous glioma stem cell populations. Oncotarget. 10(24). 2397–2415. 2 indexed citations
2.
3.
Hayakawa, Yumiko, Takahiro Tomita, Shoichi Nagai, et al.. (2017). Impact of a novel biomarker, T‐LAK cell‐originating protein kinase (TOPK) expression on outcome in malignant glioma. Neuropathology. 38(2). 144–153. 15 indexed citations
4.
Sugimori, Michiya, Yumiko Hayakawa, Bruce M. Boman, et al.. (2015). Discovery of Power-Law Growth in the Self-Renewal of Heterogeneous Glioma Stem Cell Populations. PLoS ONE. 10(8). e0135760–e0135760. 14 indexed citations
5.
Makino, Teruhiko, et al.. (2013). Trichohyalin-like 1 protein, a member of fused S100 proteins, is expressed in normal and pathologic human skin. Biochemical and Biophysical Research Communications. 432(1). 66–72. 15 indexed citations
6.
Eifuku, Satoshi, et al.. (2010). Neural Correlates of Associative Face Memory in the Anterior Inferior Temporal Cortex of Monkeys. Journal of Neuroscience. 30(45). 15085–15096. 26 indexed citations
7.
Tamura, Ryoi, et al.. (2010). A method for recording evoked local field potentials in the primate dentate gyrus in vivo. Hippocampus. 21(5). 565–574. 5 indexed citations
8.
Sugimori, Michiya, Motoshi Nagao, Carlos Parras, et al.. (2008). Ascl1 is required for oligodendrocyte development in the spinal cord. Development. 135(7). 1271–1281. 80 indexed citations
9.
Sugimori, Michiya, Motoshi Nagao, Nicolas Bertrand, et al.. (2007). Combinatorial actions of patterning and HLH transcription factors in the spatiotemporal control of neurogenesis and gliogenesis in the developing spinal cord. Development. 134(8). 1617–1629. 149 indexed citations
10.
Parras, Carlos, Charles J. Hunt, Michiya Sugimori, et al.. (2007). The Proneural GeneMash1Specifies an Early Population of Telencephalic Oligodendrocytes. Journal of Neuroscience. 27(16). 4233–4242. 156 indexed citations
11.
Nagao, Motoshi, Michiya Sugimori, & Masato Nakafuku. (2007). Cross Talk between Notch and Growth Factor/Cytokine Signaling Pathways in Neural Stem Cells. Molecular and Cellular Biology. 27(11). 3982–3994. 99 indexed citations
12.
Kim, Hyun Jung, Michiya Sugimori, Masato Nakafuku, & Clive N. Svendsen. (2006). Control of neurogenesis and tyrosine hydroxylase expression in neural progenitor cells through bHLH proteins and Nurr1. Experimental Neurology. 203(2). 394–405. 70 indexed citations
13.
Yamamoto, Shin-ichi, Motoshi Nagao, Michiya Sugimori, et al.. (2006). Growth Factor Treatment and Genetic Manipulation Stimulate Neurogenesis and Oligodendrogenesis by Endogenous Neural Progenitors in the Injured Adult Spinal Cord. Journal of Neuroscience. 26(46). 11948–11960. 168 indexed citations
14.
Hack, Michael A., Michiya Sugimori, Cecilia Lundberg, Masato Nakafuku, & Magdalena Götz. (2004). Regionalization and fate specification in neurospheres: the role of Olig2 and Pax6. Molecular and Cellular Neuroscience. 25(4). 664–678. 227 indexed citations
15.
Mizuguchi, Rumiko, Michiya Sugimori, Hirohide Takebayashi, et al.. (2001). Combinatorial Roles of Olig2 and Neurogenin2 in the Coordinated Induction of Pan-Neuronal and Subtype-Specific Properties of Motoneurons. Neuron. 31(5). 757–771. 345 indexed citations
16.
Yamamoto, Shin-ichi, Motoshi Nagao, Michiya Sugimori, et al.. (2001). Transcription Factor Expression and Notch-Dependent Regulation of Neural Progenitors in the Adult Rat Spinal Cord. Journal of Neuroscience. 21(24). 9814–9823. 207 indexed citations
17.
Takebayashi, Hirohide, Shosei Yoshida, Michiya Sugimori, et al.. (2000). Dynamic expression of basic helix-loop-helix Olig family members: implication of Olig2 in neuron and oligodendrocyte differentiation and identification of a new member, Olig3. Mechanisms of Development. 99(1-2). 143–148. 317 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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