Saishu Yoshida

1.4k total citations
80 papers, 1.1k citations indexed

About

Saishu Yoshida is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Saishu Yoshida has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 24 papers in Oncology and 24 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Saishu Yoshida's work include Growth Hormone and Insulin-like Growth Factors (22 papers), Cancer Cells and Metastasis (13 papers) and Congenital heart defects research (9 papers). Saishu Yoshida is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (22 papers), Cancer Cells and Metastasis (13 papers) and Congenital heart defects research (9 papers). Saishu Yoshida collaborates with scholars based in Japan, China and United Kingdom. Saishu Yoshida's co-authors include Yukio Kato, Takako Katō, Masashi Higuchi, Hiroki Ueharu, Hideji Yako, Kiyotsugu Yoshida, Naoko Kanno, Mo Chen, Kotaro Horiguchi and Takao Susa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Saishu Yoshida

78 papers receiving 1.0k citations

Peers

Saishu Yoshida
Adam Denley Australia
Lamis Yehia United States
J W Voss United States
M. Isabel Chiu United States
Saishu Yoshida
Citations per year, relative to Saishu Yoshida Saishu Yoshida (= 1×) peers Katja Kiseljak‐Vassiliades

Countries citing papers authored by Saishu Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Saishu Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saishu Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Saishu Yoshida. A scholar is included among the top collaborators of Saishu 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 Saishu Yoshida. Saishu 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.
Harada, Eriko, et al.. (2024). Dual-specificity tyrosine-regulated kinase 2 exerts anti-tumor effects by induction of G1 arrest in lung adenocarcinoma. Biochimica et Biophysica Acta (BBA) - General Subjects. 1868(6). 130600–130600. 1 indexed citations
2.
Yoshida, Saishu, Katsuhiko Aoki, Pattama Wiriyasermkul, et al.. (2024). Positive regulation of Hedgehog signaling via phosphorylation of GLI2/GLI3 by DYRK2 kinase. Proceedings of the National Academy of Sciences. 121(28). e2320070121–e2320070121. 5 indexed citations
3.
Yoshida, Saishu & Kiyotsugu Yoshida. (2024). Regulatory mechanisms governing GLI proteins in hedgehog signaling. Anatomical Science International. 100(2). 143–154. 1 indexed citations
4.
Yamada, Kohji, et al.. (2023). Inhibition of protein kinase C delta leads to cellular senescence to induce anti‐tumor effects in colorectal cancer. Cancer Science. 114(6). 2471–2484. 3 indexed citations
5.
Yamada, Kohji, et al.. (2023). Extended-Synaptotagmin 1 Enhances Liver Cancer Progression Mediated by the Unconventional Secretion of Cytosolic Proteins. Molecules. 28(10). 4033–4033. 3 indexed citations
6.
Kato, Yukio, Saishu Yoshida, & Takako Katō. (2023). Missing pieces of the pituitary puzzle: participation of extra-adenohypophyseal placode-lineage cells in the adult pituitary gland. Cell and Tissue Research. 394(3). 487–496. 3 indexed citations
7.
Yoshida, Saishu & Kiyotsugu Yoshida. (2022). New insights into the roles for DYRK family in mammalian development and congenital diseases. Genes & Diseases. 10(3). 758–770. 11 indexed citations
8.
Kato, Yukio, Saishu Yoshida, & Takako Katō. (2021). New insights into the role and origin of pituitary S100β-positive cells. Cell and Tissue Research. 386(2). 227–237. 16 indexed citations
9.
Horiguchi, Kotaro, Ken Fujiwara, Takehiro Tsukada, et al.. (2021). CD9-positive cells in the intermediate lobe migrate into the anterior lobe to supply endocrine cells. Histochemistry and Cell Biology. 156(4). 301–313. 6 indexed citations
10.
Yamada, Kohji, Tsunekazu Oikawa, Saishu Yoshida, et al.. (2020). Unconventional Secretion of PKCδ Exerts Tumorigenic Function via Stimulation of ERK1/2 Signaling in Liver Cancer. Cancer Research. 81(2). 414–425. 18 indexed citations
11.
Yoshida, Saishu, Katsuhiko Aoki, Ken Fujiwara, et al.. (2020). The novel ciliogenesis regulator DYRK2 governs Hedgehog signaling during mouse embryogenesis. eLife. 9. 27 indexed citations
12.
Kanno, Naoko, Ken Fujiwara, Saishu Yoshida, Takako Katō, & Yukio Kato. (2019). Dynamic Changes in the Localization of Neuronatin-Positive Cells during Neurogenesis in the Embryonic Rat Brain. Cells Tissues Organs. 207(3-4). 127–137. 6 indexed citations
13.
Higuchi, Masashi, Saishu Yoshida, Naoko Kanno, et al.. (2017). Clump formation in mouse pituitary-derived non-endocrine cell line Tpit/F1 promotes differentiation into growth-hormone-producing cells. Cell and Tissue Research. 369(2). 353–368. 5 indexed citations
14.
Yoshida, Saishu, et al.. (2017). Cell type-specific localization of Ephs pairing with ephrin-B2 in the rat postnatal pituitary gland. Cell and Tissue Research. 370(1). 99–112. 11 indexed citations
15.
Higuchi, Masashi, et al.. (2015). PRRX1- and PRRX2-positive mesenchymal stem/progenitor cells are involved in vasculogenesis during rat embryonic pituitary development. Cell and Tissue Research. 361(2). 557–565. 26 indexed citations
16.
Higuchi, Masashi, Saishu Yoshida, Hiroki Ueharu, et al.. (2014). PRRX1 and PRRX2 distinctively participate in pituitary organogenesis and a cell-supply system. Cell and Tissue Research. 357(1). 323–335. 38 indexed citations
17.
Higuchi, Masashi, Naoko Kanno, Saishu Yoshida, et al.. (2014). GFP-expressing S100β-positive cells of the rat anterior pituitary differentiate into hormone-producing cells. Cell and Tissue Research. 357(3). 767–779. 17 indexed citations
18.
Chen, Mo, Takako Katō, Masashi Higuchi, et al.. (2013). Coxsackievirus and adenovirus receptor-positive cells compose the putative stem/progenitor cell niches in the marginal cell layer and parenchyma of the rat anterior pituitary. Cell and Tissue Research. 354(3). 823–836. 46 indexed citations
19.
Higuchi, Masashi, Takako Katō, Mo Chen, et al.. (2013). Temporospatial gene expression of Prx1 and Prx2 is involved in morphogenesis of cranial placode-derived tissues through epithelio-mesenchymal interaction during rat embryogenesis. Cell and Tissue Research. 353(1). 27–40. 21 indexed citations
20.
Yoshida, Saishu, T. Kato, Hideji Yako, et al.. (2011). Significant Quantitative and Qualitative Transition in Pituitary Stem /  Progenitor Cells Occurs during the Postnatal Development of the Rat Anterior Pituitary. Journal of Neuroendocrinology. 23(10). 933–943. 74 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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