Shingo Usuki

684 total citations
22 papers, 362 citations indexed

About

Shingo Usuki is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Shingo Usuki has authored 22 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Genetics. Recurrent topics in Shingo Usuki's work include RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Shingo Usuki is often cited by papers focused on RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Shingo Usuki collaborates with scholars based in Japan, United States and Egypt. Shingo Usuki's co-authors include Hitoshi Niwa, Kumi Matsuura, Sayoko Fujimura, Kei‐ichiro Ishiguro, Naoki Tani, Kimi Araki, Naoki Takeda, Mariko Yamane, Mihoko Hosokawa and Michihiko Sugimoto and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Shingo Usuki

18 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Usuki Japan 9 277 68 63 37 31 22 362
Mariko Yamane Japan 10 308 1.1× 70 1.0× 86 1.4× 34 0.9× 27 0.9× 17 388
Wolfram H. Gruhn United Kingdom 8 342 1.2× 45 0.7× 129 2.0× 49 1.3× 17 0.5× 10 395
Jeoung Eun Lee South Korea 12 337 1.2× 131 1.9× 47 0.7× 28 0.8× 10 0.3× 24 412
Catherine Rhéaume United States 9 271 1.0× 22 0.3× 66 1.0× 31 0.8× 21 0.7× 13 394
Berta Terré Spain 5 176 0.6× 30 0.4× 123 2.0× 22 0.6× 84 2.7× 5 246
Sandra Lubitz Germany 5 479 1.7× 32 0.5× 85 1.3× 22 0.6× 9 0.3× 5 524
Michael A. Charles United States 4 267 1.0× 27 0.4× 111 1.8× 20 0.5× 67 2.2× 5 398
N. A. Skryabin Russia 10 184 0.7× 46 0.7× 157 2.5× 10 0.3× 19 0.6× 46 371
Silvia Moleri Italy 8 180 0.6× 38 0.6× 41 0.7× 23 0.6× 70 2.3× 9 308
Jia-Chi Yeo Singapore 6 496 1.8× 23 0.3× 69 1.1× 10 0.3× 20 0.6× 6 534

Countries citing papers authored by Shingo Usuki

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Usuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Usuki

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Usuki. A scholar is included among the top collaborators of Shingo Usuki 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 Shingo Usuki. Shingo Usuki 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
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Okada, Seiji, Shingo Usuki, Shinjiro Hino, et al.. (2025). Macrophages with different origins proliferate ex vivo and do not lose their core intrinsic features. iScience. 28(6). 112635–112635. 1 indexed citations
4.
Ohguchi, Hiroto, Sho Kubota, Shingo Usuki, et al.. (2024). Multiple myeloma–associated DIS3 gene is essential for hematopoiesis, but loss of DIS3 is insufficient for myelomagenesis. PubMed. 1(1). 100005–100005.
5.
Morino‐Koga, Saori, Tomomasa Yokomizo, Mariko Yamane, et al.. (2024). Transition of signal requirement in hematopoietic stem cell development from hemogenic endothelial cells. Proceedings of the National Academy of Sciences. 121(31). e2404193121–e2404193121. 4 indexed citations
6.
Morino‐Koga, Saori, Shingo Usuki, Kei-ichiro Yasunaga, et al.. (2024). Bone morphogenetic protein 4 induces hematopoietic stem cell development from murine hemogenic endothelial cells in culture. Stem Cell Reports. 19(12). 1677–1689. 2 indexed citations
7.
Matsuo, Misaki, Shingo Usuki, Kei-ichiro Yasunaga, et al.. (2024). FOXO1 stimulates tip cell-enriched gene expression in endothelial cells. iScience. 27(3). 109161–109161. 8 indexed citations
8.
Matsuo, Kazuya, Sefan Asamitsu, Hiroyoshi Suzuki, et al.. (2024). RNA G-quadruplexes form scaffolds that promote neuropathological α-synuclein aggregation. Cell. 187(24). 6835–6848.e20. 26 indexed citations
9.
Tanaka, Tsubasa, Tamaki Yano, Shingo Usuki, et al.. (2024). Endocytosed dsRNAs induce lysosomal membrane permeabilization that allows cytosolic dsRNA translocation for Drosophila RNAi responses. Nature Communications. 15(1). 6993–6993. 2 indexed citations
10.
Araki, Kimi, Jie Bai, Kumiko Yoshinobu, et al.. (2023). A gain‐of‐function mutation in microRNA 142 is sufficient to cause the development of T‐cell leukemia in mice. Cancer Science. 114(7). 2821–2834. 2 indexed citations
11.
Kato, Yuzuru, Naoki Takeda, Sayoko Fujimura, et al.. (2023). STRA8–RB interaction is required for timely entry of meiosis in mouse female germ cells. Nature Communications. 14(1). 6443–6443. 9 indexed citations
12.
Matsuo, Kazuya, Yasushi Yabuki, Sefan Asamitsu, et al.. (2023). A cyclic pyrrole-imidazole polyamide reduces pathogenic RNA in CAG/CTG triplet repeat neurological disease models. Journal of Clinical Investigation. 133(22). 5 indexed citations
13.
Hino, Shinjiro, Shingo Usuki, Yoshihiro Miyazaki, et al.. (2023). YAP / BRD4 ‐controlled ROR1 promotes tumor‐initiating cells and hyperproliferation in pancreatic cancer. The EMBO Journal. 42(14). e112614–e112614. 18 indexed citations
14.
Yamane, Mariko, et al.. (2023). The role of Zfp352 in the regulation of transient expression of 2‐cell specific genes in mouse embryonic stem cells. Genes to Cells. 28(12). 831–844. 3 indexed citations
15.
Fujimaki, Shin, Tomohiro Matsumoto, Masashi Muramatsu, et al.. (2022). The endothelial Dll4–muscular Notch2 axis regulates skeletal muscle mass. Nature Metabolism. 4(2). 180–189. 26 indexed citations
16.
Sakashita, Akihiko, Kenichi Horisawa, Ryo Maeda, et al.. (2021). Meiosis-specific ZFP541 repressor complex promotes developmental progression of meiotic prophase towards completion during mouse spermatogenesis. Nature Communications. 12(1). 3184–3184. 25 indexed citations
17.
Matsuura, Kumi, Shinji Kudoh, Shingo Usuki, et al.. (2020). Distinct transcriptional programs of SOX2 in different types of small cell lung cancers. Laboratory Investigation. 100(12). 1575–1588. 12 indexed citations
18.
Matsuura, Kumi, et al.. (2020). MEAF6 is essential for cell proliferation and plays a role in the assembly of KAT7 complexes. Experimental Cell Research. 396(1). 112279–112279. 6 indexed citations
19.
Ishiguro, Kei‐ichiro, Kumi Matsuura, Naoki Tani, et al.. (2020). MEIOSIN Directs the Switch from Mitosis to Meiosis in Mammalian Germ Cells. Developmental Cell. 52(4). 429–445.e10. 124 indexed citations
20.
Anan, Kotaro, Shinjiro Hino, Noriaki Shimizu, et al.. (2018). LSD1 mediates metabolic reprogramming by glucocorticoids during myogenic differentiation. Nucleic Acids Research. 46(11). 5441–5454. 28 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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