Tomoya Miyoshi

1.9k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Tomoya Miyoshi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Tomoya Miyoshi has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Tomoya Miyoshi's work include Renal and related cancers (9 papers), Renal cell carcinoma treatment (5 papers) and Pluripotent Stem Cells Research (4 papers). Tomoya Miyoshi is often cited by papers focused on Renal and related cancers (9 papers), Renal cell carcinoma treatment (5 papers) and Pluripotent Stem Cells Research (4 papers). Tomoya Miyoshi collaborates with scholars based in Japan, United States and Belgium. Tomoya Miyoshi's co-authors include Ryuji Morizane, Navin Gupta, Joseph V. Bonventre, Jennifer A. Lewis, M. Todd Valerius, Thomas C. Ferrante, Katharina T. Kroll, David B. Kolesky, Mark A. Skylar‐Scott and Kimberly A. Homan and has published in prestigious journals such as Nature Methods, Scientific Reports and Journal of the American Society of Nephrology.

In The Last Decade

Tomoya Miyoshi

21 papers receiving 1.4k citations

Hit Papers

Flow-enhanced vascularization and maturation of kidney or... 2019 2026 2021 2023 2019 200 400 600

Peers

Tomoya Miyoshi
Veronika Sander New Zealand
Blaine Phillips Switzerland
Min Zeng China
Mouer Wang United States
Yi Jin China
Deanna Sverdlov United States
Yunshan Liu United States
Veronika Sander New Zealand
Tomoya Miyoshi
Citations per year, relative to Tomoya Miyoshi Tomoya Miyoshi (= 1×) peers Veronika Sander

Countries citing papers authored by Tomoya Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Tomoya Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoya Miyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoya Miyoshi. A scholar is included among the top collaborators of Tomoya 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 Tomoya Miyoshi. Tomoya Miyoshi 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.
Gupta, Navin, Takuya Matsumoto, Ken Hiratsuka, et al.. (2022). Modeling injury and repair in kidney organoids reveals that homologous recombination governs tubular intrinsic repair. Science Translational Medicine. 14(634). eabj4772–eabj4772. 74 indexed citations
2.
Kobayashi, Kenichi, Sanlin S. Robinson, Tomoya Miyoshi, et al.. (2022). 3D proximal tubule-on-chip model derived from kidney organoids with improved drug uptake. Scientific Reports. 12(1). 14997–14997. 54 indexed citations
3.
Hiratsuka, Ken, Tomoya Miyoshi, Katharina T. Kroll, et al.. (2022). Organoid-on-a-chip model of human ARPKD reveals mechanosensing pathomechanisms for drug discovery. Science Advances. 8(38). eabq0866–eabq0866. 85 indexed citations
4.
Jung, Youngsook L., Tomoya Miyoshi, Dhawal Jain, et al.. (2020). Epigenetic transcriptional reprogramming by WT1 mediates a repair response during podocyte injury. Science Advances. 6(30). eabb5460–eabb5460. 25 indexed citations
5.
Yamaguchi, Hiroyuki, Nobuyuki Takagi, Tomoaki Inoue, et al.. (2019). Collagen vitrigel promotes hepatocytic differentiation of induced pluripotent stem cells into functional hepatocyte-like cells. Biology Open. 8(7). 17 indexed citations
6.
Homan, Kimberly A., Navin Gupta, Katharina T. Kroll, et al.. (2019). Flow-enhanced vascularization and maturation of kidney organoids in vitro. Nature Methods. 16(3). 255–262. 670 indexed citations breakdown →
7.
Lemos, Darío R., Gamze Karaca, Julia Wilflingseder, et al.. (2018). Interleukin-1β Activates a MYC-Dependent Metabolic Switch in Kidney Stromal Cells Necessary for Progressive Tubulointerstitial Fibrosis. Journal of the American Society of Nephrology. 29(6). 1690–1705. 166 indexed citations
8.
Maeda, Akihisa, Mayumi Nakajima, Kei Takahashi, et al.. (2017). Gene expression profiles in auricle skin as a possible additional endpoint for determination of sensitizers: A multi-endpoint evaluation of the local lymph node assay. Toxicology Letters. 280. 133–141. 3 indexed citations
9.
Miyoshi, Tomoya, et al.. (2017). Aminoglutethimide-induced lysosomal changes in adrenal gland in mice. Experimental and Toxicologic Pathology. 69(7). 424–429. 5 indexed citations
10.
Uchida, Masashi, Tomoya Miyoshi, & Yohei Miyamoto. (2017). Pharmacological effects of a vitamin K<sub>1</sub> 2,3-epoxide reductase (VKOR) inhibitor, 3-acetyl-5-methyltetronic acid, on cisplatin-induced fibrosis in rats. Journal of Veterinary Medical Science. 79(9). 1507–1515. 1 indexed citations
11.
Togashi, Yuko, et al.. (2016). Histopathological image analysis of chemical-induced hepatocellular hypertrophy in mice. Experimental and Toxicologic Pathology. 68(4). 233–239. 17 indexed citations
12.
Maeda, Akihisa, et al.. (2014). Evaluation of the repeated-dose liver micronucleus assay using 2,4-dinitrotoluene: A report of a collaborative study by CSGMT/JEMS.MMS. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 780-781. 41–45. 4 indexed citations
13.
Togashi, Yuko, et al.. (2012). Immunohistochemistry of LAMP-2 and adipophilin for phospholipidosis in liver and kidney in ketoconazole-treated mice. Experimental and Toxicologic Pathology. 65(6). 817–823. 13 indexed citations
14.
Oshida, Keiyu, et al.. (2011). Novel gene markers of immunosuppressive chemicals in mouse lymph node assay. Toxicology Letters. 205(1). 79–85. 5 indexed citations
15.
Oshida, Keiyu, et al.. (2011). Toxicological effect of emodin in mouse testicular gene expression profile. Journal of Applied Toxicology. 31(8). 790–800. 42 indexed citations
16.
Miyoshi, Tomoya, Mitsuji Maruhashi, Tom Van de Putte, et al.. (2006). Complementary expression pattern of Zfhx1 genes Sip1 and δEF1 in the mouse embryo and their genetic interaction revealed by compound mutants. Developmental Dynamics. 235(7). 1941–1952. 59 indexed citations
17.
Higashi, Yujiro, Mitsuji Maruhashi, L Nelles, et al.. (2002). Generation of the floxed allele of the SIP1 (Smad‐interacting protein 1) gene for Cre‐mediated conditional knockout in the mouse. genesis. 32(2). 82–84. 88 indexed citations
18.
Takatani, Tomoka, et al.. (2000). The transport mechanism of metallothionein is different from that of classical NLS-bearing protein. Journal of Cellular Physiology. 185(3). 440–446. 25 indexed citations
19.
Takatani, Tomoka, et al.. (2000). The transport mechanism of metallothionein is different from that of classical NLS‐bearing protein. Journal of Cellular Physiology. 185(3). 440–446. 1 indexed citations
20.
Miyoshi, Tomoya, et al.. (1971). [Myringoplasty by means of a vein graft].. PubMed. 43(1). 25–30. 1 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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