Keiko Miyoshi

3.4k total citations
79 papers, 2.8k citations indexed

About

Keiko Miyoshi is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Keiko Miyoshi has authored 79 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 14 papers in Oncology and 12 papers in Rheumatology. Recurrent topics in Keiko Miyoshi's work include dental development and anomalies (13 papers), Bone and Dental Protein Studies (11 papers) and Cancer-related gene regulation (11 papers). Keiko Miyoshi is often cited by papers focused on dental development and anomalies (13 papers), Bone and Dental Protein Studies (11 papers) and Cancer-related gene regulation (11 papers). Keiko Miyoshi collaborates with scholars based in Japan, United States and Germany. Keiko Miyoshi's co-authors include Lothar Hennighausen, Gertraud W. Robinson, Yongzhi Cui, Jonathan M. Shillingford, Kay‐Uwe Wagner, Takafumi Noma, Gregory Riedlinger, Chu‐Xia Deng, Wei Tang and Cuiling Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Keiko Miyoshi

76 papers receiving 2.8k citations

Peers

Keiko Miyoshi

ONCOL

GENET

IMMUN

Salvatore Travali Italy

Philippe Clément-Lacroix France

Shunsuke Uehara Japan

Yuuki Imai Japan

Marco Genua Italy

Wei Yao United States

Toshiyuki Ikeda Japan

Simon W. Fox United Kingdom

Jürg A. Gasser Switzerland

Michael B. Sporn United States

Salvatore Travali Italy

Keiko Miyoshi

1.8k ×1.1

904 ×0.9

ONCOL

287 ×0.6

GENET

454 ×1.3

269 ×0.8

IMMUN

Citations per year, relative to Keiko Miyoshi Keiko Miyoshi (= 1×) peers Salvatore Travali

Countries citing papers authored by Keiko Miyoshi

Since Specialization

Citations

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

Fields of papers citing papers by Keiko Miyoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Miyoshi

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

All Works

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20 of 20 papers shown

Mouri, Yasuhiro, et al.. (2024). Involvement of TGFBI-TAGLN axis in cancer stem cell property of head and neck squamous cell carcinoma. Scientific Reports. 14(1). 6767–6767. 3 indexed citations

Das, Pragnya, et al.. (2023). Enam expression is regulated by Msx2. Developmental Dynamics. 252(10). 1292–1302.

Miyoshi, Keiko, et al.. (2022). miR-155-5p can be involved in acquisition of osseointegration on titanium surface. In Vitro Cellular & Developmental Biology - Animal. 58(8). 693–701. 1 indexed citations

Miyoshi, Keiko, et al.. (2022). Redefining GBA gene structure unveils the ability of Cap-independent, IRES-dependent gene regulation. Communications Biology. 5(1). 639–639. 10 indexed citations

Kawakita, Naoya, Hiroaki Toba, Keiko Miyoshi, et al.. (2020). Bronchioalveolar stem cells derived from mouse-induced pluripotent stem cells promote airway epithelium regeneration. Stem Cell Research & Therapy. 11(1). 430–430. 13 indexed citations

Das, Pragnya, Keiko Miyoshi, Takafumi Noma, et al.. (2020). An Msx2-Sp6-Follistatin Pathway Operates During Late Stages of Tooth Development to Control Amelogenesis. Frontiers in Physiology. 11. 582610–582610. 9 indexed citations

Miyoshi, Keiko, et al.. (2018). Deciphering defective amelogenesis using in vitro culture systems. Journal of Bioscience and Bioengineering. 125(4). 479–489. 2 indexed citations

Miyoshi, Keiko, Daisuke Tsuji, Keiko Kudoh, et al.. (2010). Generation of human induced pluripotent stem cells from oral mucosa. Journal of Bioscience and Bioengineering. 110(3). 345–350. 69 indexed citations

Ueno, Akemichi, Yoshihiro Miwa, Keiko Miyoshi, et al.. (2006). Constitutive expression of thrombospondin 1 in MC3T3‐E1 osteoblastic cells inhibits mineralization. Journal of Cellular Physiology. 209(2). 322–332. 33 indexed citations

10.

Provost, Fabienne Le, et al.. (2005). SOCS3 promotes apoptosis of mammary differentiated cells. Biochemical and Biophysical Research Communications. 338(4). 1696–1701. 24 indexed citations

11.

Rosner, Andrea, Keiko Miyoshi, Esther Landesman‐Bollag, et al.. (2002). Pathway Pathology. American Journal Of Pathology. 161(3). 1087–1097. 145 indexed citations

12.

Miyoshi, Keiko, Andrea Rosner, Masahiro Nozawa, et al.. (2002). Activation of different Wnt/β-catenin signaling components in mammary epithelium induces transdifferentiation and the formation of pilar tumors. Oncogene. 21(36). 5548–5556. 90 indexed citations

13.

Cui, Yongzhi, Keiko Miyoshi, Estefanı́a Claudio, et al.. (2002). Loss of the Peroxisome Proliferation-activated Receptor gamma (PPARγ) Does Not Affect Mammary Development and Propensity for Tumor Formation but Leads to Reduced Fertility. Journal of Biological Chemistry. 277(20). 17830–17835. 161 indexed citations

14.

Riedlinger, Gregory, Ryugo Okagaki, Kay‐Uwe Wagner, et al.. (2002). Bcl-x Is Not Required for Maintenance of Follicles and Corpus Luteum in the Postnatal Mouse Ovary1. Biology of Reproduction. 66(2). 438–444. 23 indexed citations

15.

Walton, Katherine D., Kay‐Uwe Wagner, Edmund B. Rucker, et al.. (2001). Conditional deletion of the bcl-x gene from mouse mammary epithelium results in accelerated apoptosis during involution but does not compromise cell function during lactation. Mechanisms of Development. 109(2). 281–293. 71 indexed citations

16.

Miyoshi, Keiko, Yongzhi Cui, Gregory Riedlinger, et al.. (2001). Structure of the Mouse Stat 3/5 Locus: Evolution from Drosophila to Zebrafish to Mouse. Genomics. 71(2). 150–155. 51 indexed citations

17.

Miwa, Yoshihiro, et al.. (1998). Putrescine‐stimulated Intracellular Ca²⁺ Release for Invasiveness of Rat Ascites Hepatoma Cells. Japanese Journal of Cancer Research. 89(1). 67–75. 4 indexed citations

18.

Hashimoto, Toshiaki, Kuniaki Fukuda, Shoichi Endo, et al.. (1998). Proton magnetic resonance spectroscopy of the brain in three cases of Rett syndrome: comparison with autism and normal controls. Acta Neurologica Scandinavica. 98(1). 8–14. 25 indexed citations

19.

Miyoshi, Keiko, et al.. (1978). Radioimmunoassay for human myoglobin: methods and results in patients with skeletal muscle or myocardial disorders.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 92(3). 341–52. 67 indexed citations

20.

Miyoshi, Keiko. (1961). On the existence of "albumin F",a fetal type of albumin.. 7(4). 320–333.

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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