Sho Takatori

900 total citations
28 papers, 586 citations indexed

About

Sho Takatori is a scholar working on Cell Biology, Physiology and Molecular Biology. According to data from OpenAlex, Sho Takatori has authored 28 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cell Biology, 12 papers in Physiology and 10 papers in Molecular Biology. Recurrent topics in Sho Takatori's work include Cellular transport and secretion (11 papers), Alzheimer's disease research and treatments (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Sho Takatori is often cited by papers focused on Cellular transport and secretion (11 papers), Alzheimer's disease research and treatments (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Sho Takatori collaborates with scholars based in Japan, United States and Sweden. Sho Takatori's co-authors include Takeshi Iwatsubo, Toyoshi Fujimoto, Genta Ito, Taisuke Tomita, Takuma Tsuji, Tsuyako Tatematsu, Jinglei Cheng, Megumi Fujimoto, Yukiko Hori and Wenbo Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Sho Takatori

25 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sho Takatori Japan 13 297 184 167 126 88 28 586
Sarah van Veen Belgium 11 369 1.2× 165 0.9× 145 0.9× 123 1.0× 220 2.5× 13 647
Daniel J. Colacurcio United States 5 324 1.1× 237 1.3× 143 0.9× 191 1.5× 44 0.5× 7 657
Mattia Vicario Italy 11 408 1.4× 169 0.9× 124 0.7× 90 0.7× 151 1.7× 18 623
Domenico Cieri Italy 11 510 1.7× 220 1.2× 189 1.1× 107 0.8× 147 1.7× 14 708
Antonina J. Kruppa United Kingdom 10 482 1.6× 147 0.8× 330 2.0× 214 1.7× 89 1.0× 12 836
Lara Wahlster United States 12 388 1.3× 190 1.0× 160 1.0× 137 1.1× 195 2.2× 20 761
Consuelo Venturi Italy 10 285 1.0× 275 1.5× 275 1.6× 248 2.0× 93 1.1× 13 770
Paul Diaz United States 12 362 1.2× 66 0.4× 80 0.5× 120 1.0× 51 0.6× 17 775
Helma van den Hurk Netherlands 12 569 1.9× 212 1.2× 257 1.5× 101 0.8× 53 0.6× 18 791

Countries citing papers authored by Sho Takatori

Since Specialization
Citations

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

Fields of papers citing papers by Sho Takatori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sho Takatori

This figure shows the co-authorship network connecting the top 25 collaborators of Sho Takatori. A scholar is included among the top collaborators of Sho Takatori 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 Sho Takatori. Sho Takatori 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.
Takatori, Sho, Masaki Kondo, & Taisuke Tomita. (2025). Unraveling the complex role of microglia in Alzheimer’s disease: amyloid β metabolism and plaque formation. Inflammation and Regeneration. 45(1). 16–16. 4 indexed citations
2.
Yoshida, Fumiaki, Y. Kato, Ryuta Koyama, et al.. (2024). Soluble form of Lingo2, an autism spectrum disorder-associated molecule, functions as an excitatory synapse organizer in neurons. Translational Psychiatry. 14(1). 448–448.
3.
Kuwahara, Tomoki, et al.. (2024). Lysosomal stress drives the release of pathogenic α-synuclein from macrophage lineage cells via the LRRK2-Rab10 pathway. iScience. 27(2). 108893–108893. 8 indexed citations
4.
Chinen, Takumi, Sho Takatori, Shohei Yamamoto, et al.. (2024). Molecular basis promoting centriole triplet microtubule assembly. Nature Communications. 15(1). 2216–2216. 7 indexed citations
5.
Takatori, Sho, et al.. (2024). Protocol for gene knockdown using siRNA in primary cultured neonatal murine microglia. STAR Protocols. 5(1). 102867–102867.
6.
Hayashi, Yuki, et al.. (2023). TOLLIP acts as a cargo adaptor to promote lysosomal degradation of aberrant ER membrane proteins. The EMBO Journal. 42(23). e114272–e114272. 13 indexed citations
7.
Iguchi, Akihiro, Sho Takatori, Kai Wang, et al.. (2023). INPP5D modulates TREM2 loss-of-function phenotypes in a β-amyloidosis mouse model. iScience. 26(4). 106375–106375. 19 indexed citations
8.
Takatori, Sho, et al.. (2021). BORCS6 is involved in the enlargement of lung lamellar bodies in Lrrk2 knockout mice. Human Molecular Genetics. 30(17). 1618–1631. 10 indexed citations
9.
Kikuchi, Kazunori, Yuki Sudo, Sho Takatori, et al.. (2021). GPR120 Signaling Controls Amyloid-β Degrading Activity of Matrix Metalloproteinases. Journal of Neuroscience. 41(28). 6173–6185. 12 indexed citations
10.
Takatori, Sho, Wenbo Wang, Akihiro Iguchi, & Taisuke Tomita. (2019). Genetic Risk Factors for Alzheimer Disease: Emerging Roles of Microglia in Disease Pathomechanisms. Advances in experimental medicine and biology. 1118. 83–116. 37 indexed citations
11.
Tsuji, Takuma, Sho Takatori, & Toyoshi Fujimoto. (2018). Definition of phosphoinositide distribution in the nanoscale. Current Opinion in Cell Biology. 57. 33–39. 20 indexed citations
12.
Aktar, Sharmin, Sho Takatori, Takuma Tsuji, et al.. (2017). A New Electron Microscopic Method to Observe the Distribution of Phosphatidylinositol 3,4-bisphosphate. ACTA HISTOCHEMICA ET CYTOCHEMICA. 50(5). 141–147. 1 indexed citations
13.
Takatori, Sho & Toyoshi Fujimoto. (2016). A novel imaging method revealed phosphatidylinositol 3,5-bisphosphate-rich domains in the endosome/lysosome membrane. Communicative & Integrative Biology. 9(2). e1145319–e1145319. 1 indexed citations
14.
Hori, Yukiko, et al.. (2016). Partial loss of CALM function reduces Aβ42 production and amyloid depositionin vivo. Human Molecular Genetics. 25(18). 3988–3997. 22 indexed citations
15.
Takatori, Sho, et al.. (2015). Phosphatidylinositol 3,5‐Bisphosphate‐Rich Membrane Domains in Endosomes and Lysosomes. Traffic. 17(2). 154–167. 36 indexed citations
16.
Takatori, Sho, Hiroshi Kobayashi, & Kiyoshi Matsumoto. (2015). Mass Concentration of Mineral Dust Particles Estimated with a Polarization Optical Particle Counter. 30(4). 274. 1 indexed citations
17.
Hayashi, Ikuo, Sho Takatori, Yasuomi Urano, et al.. (2011). Neutralization of the γ-secretase activity by monoclonal antibody against extracellular domain of nicastrin. Oncogene. 31(6). 787–798. 57 indexed citations
18.
Hayashi, Ikuo, Sho Takatori, Yasuomi Urano, et al.. (2009). Single Chain Variable Fragment against Nicastrin Inhibits the γ-Secretase Activity. Journal of Biological Chemistry. 284(41). 27838–27847. 17 indexed citations
19.
Takatori, Sho, Genta Ito, & Takeshi Iwatsubo. (2007). Cytoplasmic localization and proteasomal degradation of N-terminally cleaved form of PINK1. Neuroscience Letters. 430(1). 13–17. 95 indexed citations
20.
Iwatsubo, Takeshi, et al.. (2005). [Pathogenesis of Parkinson's disease: implications from familial Parkinson's disease].. PubMed. 45(11). 899–901. 3 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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