Hideki Yoshida

2.0k total citations
105 papers, 1.4k citations indexed

About

Hideki Yoshida is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hideki Yoshida has authored 105 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 26 papers in Cell Biology and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hideki Yoshida's work include Genomics and Chromatin Dynamics (15 papers), Hippo pathway signaling and YAP/TAZ (15 papers) and Mitochondrial Function and Pathology (14 papers). Hideki Yoshida is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), Hippo pathway signaling and YAP/TAZ (15 papers) and Mitochondrial Function and Pathology (14 papers). Hideki Yoshida collaborates with scholars based in Japan, United States and Vietnam. Hideki Yoshida's co-authors include Masamitsu Yamaguchi, Fumiko Hirose, Hiroyuki Ida, Kengo Sakaguchi, Shoko Nishihara, Toshiki Mizuno, Luca Lo Piccolo, Ryo Tanaka, Yumiko Azuma and Ryu Ueda and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Hideki Yoshida

103 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Yoshida Japan 21 1.0k 238 206 147 142 105 1.4k
Kuchuan Chen United States 10 668 0.7× 417 1.8× 250 1.2× 130 0.9× 90 0.6× 10 1.1k
Tae‐Ju Park United States 23 772 0.8× 269 1.1× 186 0.9× 135 0.9× 131 0.9× 45 1.3k
Michael J. Palladino United States 24 1.3k 1.3× 283 1.2× 201 1.0× 108 0.7× 102 0.7× 47 1.8k
Gerald B. Call United States 17 869 0.8× 321 1.3× 163 0.8× 237 1.6× 276 1.9× 27 1.6k
Manabu Tsuda Japan 21 956 0.9× 313 1.3× 286 1.4× 159 1.1× 147 1.0× 40 1.5k
Prakash Nair United States 14 839 0.8× 114 0.5× 87 0.4× 236 1.6× 125 0.9× 17 1.3k
R D Gietz Canada 11 1.1k 1.1× 595 2.5× 159 0.8× 171 1.2× 71 0.5× 14 1.4k
Véronique Monnier France 15 567 0.6× 270 1.1× 78 0.4× 138 0.9× 87 0.6× 24 894
Namita Agrawal India 20 1.0k 1.0× 689 2.9× 254 1.2× 86 0.6× 78 0.5× 63 1.6k

Countries citing papers authored by Hideki Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Yoshida. A scholar is included among the top collaborators of Hideki Yoshida 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 Hideki Yoshida. Hideki Yoshida 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.
Piccolo, Luca Lo, Saranyapin Potikanond, Wutigri Nimlamool, et al.. (2023). A Novel Drosophila-based Drug Repurposing Platform Identified Fingolimod As a Potential Therapeutic for TDP-43 Proteinopathy. Neurotherapeutics. 20(5). 1330–1346. 4 indexed citations
2.
Chiyonobu, Tomohiro, et al.. (2023). Knockdown of Chronophage in the nervous system mimics features of neurodevelopmental disorders caused by BCL11A/B variants. Experimental Cell Research. 433(2). 113827–113827. 2 indexed citations
3.
Hashino, Takuya, et al.. (2023). The BCL-2 family protein BCL-RAMBO interacts and cooperates with GRP75 to promote its apoptosis signaling pathway. Scientific Reports. 13(1). 14041–14041. 4 indexed citations
4.
Yoshida, Hideki, et al.. (2022). Crucial Roles of Ubiquitin Carboxy-Terminal Hydrolase L1 in Motor Neuronal Health by Drosophila Model. Antioxidants and Redox Signaling. 37(4-6). 257–273. 5 indexed citations
5.
Koonrungsesomboon, Nut, et al.. (2021). Long noncoding RNA‐dependent methylation of nonhistone proteins. Wiley Interdisciplinary Reviews - RNA. 12(6). e1661–e1661. 16 indexed citations
6.
Friedland, Robert P., et al.. (2021). Drosophila as a Model for Microbiota Studies of Neurodegeneration. Journal of Alzheimer s Disease. 84(2). 479–490. 17 indexed citations
7.
Yamaguchi, Masamitsu, et al.. (2020). Investigating Developmental and Epileptic Encephalopathy Using Drosophila melanogaster. International Journal of Molecular Sciences. 21(17). 6442–6442. 16 indexed citations
8.
Yoshida, Hideki, et al.. (2020). Honeybee products and edible insect powders improve locomotive and learning abilities of Ubiquilin-knockdown Drosophila. BMC Complementary Medicine and Therapies. 20(1). 267–267. 7 indexed citations
10.
Nakamura, Aya, Ryo Tanaka, Yumiko Azuma, et al.. (2018). Genetic screening of the genes interacting with Drosophila FIG4 identified a novel link between CMT-causing gene and long noncoding RNAs. Experimental Neurology. 310. 1–13. 27 indexed citations
11.
Tanaka, Ryo, Yumiko Azuma, Hideki Yoshida, et al.. (2018). Novel roles of Drosophila FUS and Aub responsible for piRNA biogenesis in neuronal disorders. Brain Research. 1708. 207–219. 18 indexed citations
12.
Pyo, Jung-Hoon, et al.. (2017). Overexpression of dJmj differentially affects intestinal stem cells and differentiated enterocytes. Cellular Signalling. 42. 194–210. 4 indexed citations
13.
Phan, An, Ryo Tanaka, Hideki Yoshida, et al.. (2017). Epigenetic regulation of starvation-induced autophagy in Drosophila by histone methyltransferase G9a. Scientific Reports. 7(1). 7343–7343. 32 indexed citations
14.
Yamaguchi, Masamitsu, et al.. (2016). NF-Y in invertebrates. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1860(5). 630–635. 9 indexed citations
15.
Kimurâ, Hiroshi, et al.. (2016). Polycomb-dependent nucleolus localization of Jumonji/Jarid2 during Drosophila spermatogenesis. PubMed. 6(3). e1232023–e1232023. 4 indexed citations
16.
Yoshida, Hideki, et al.. (2013). dNF-YB plays dual roles in cell death and cell differentiation during Drosophila eye development. Gene. 520(2). 106–118. 23 indexed citations
17.
Eguchi, Koichi, et al.. (2013). The Drosophila DOCK family protein sponge is involved in differentiation of R7 photoreceptor cells. Experimental Cell Research. 319(14). 2179–2195. 10 indexed citations
18.
Kamiyama, S., Takaaki Uno, Hideki Yoshida, et al.. (2006). Identification and Characterization of a Novel Drosophila 3′-Phosphoadenosine 5′-Phosphosulfate Transporter. Journal of Biological Chemistry. 281(39). 28508–28517. 19 indexed citations
19.
Hagiwara, Hideki, et al.. (2005). Development of Automatic Berthing System for Kaisho Maru and Its Performance Evaluation. The Journal of Japan Institute of Navigation. 113(0). 157–164. 6 indexed citations
20.
Kono, Toru, Michio Fukuda, Masamitsu Ishii, et al.. (1991). Detection of ornithine decarboxylase gene expression in 12-O-tetradecanoylphorbol-13-acetate-treated mouse skin using in situ hybridization.. Acta Dermato Venereologica. 71(2). 104–107. 7 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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