Miho Akimoto

2.5k total citations · 1 hit paper
43 papers, 2.0k citations indexed

About

Miho Akimoto is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Miho Akimoto has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Surgery and 9 papers in Immunology. Recurrent topics in Miho Akimoto's work include Cancer, Hypoxia, and Metabolism (7 papers), Eosinophilic Esophagitis (6 papers) and IL-33, ST2, and ILC Pathways (6 papers). Miho Akimoto is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Eosinophilic Esophagitis (6 papers) and IL-33, ST2, and ILC Pathways (6 papers). Miho Akimoto collaborates with scholars based in Japan, Pakistan and United States. Miho Akimoto's co-authors include Keizo Takenaga, Yoshio Honma, Jun‐Ichi Hayashi, Nobuko Koshikawa, Kazuto Nakada, Kaori Ishikawa, Aya Yamaguchi, Hirotake Imanishi, Keizo Takenaga and Riruke Maruyama and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Miho Akimoto

40 papers receiving 2.0k citations

Hit Papers

ROS-Generating Mitochondrial DNA Mutations Can Regulate T... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miho Akimoto Japan 16 1.3k 615 264 244 181 43 2.0k
Sabarish Ramachandran United States 18 1.3k 1.0× 590 1.0× 189 0.7× 398 1.6× 95 0.5× 37 1.9k
Andrea Glasauer United States 7 1.3k 1.0× 668 1.1× 143 0.5× 266 1.1× 177 1.0× 11 1.9k
Jiyeon Kim United States 12 1.3k 1.0× 906 1.5× 173 0.7× 332 1.4× 112 0.6× 19 2.1k
Simone Cardaci Italy 21 1.2k 1.0× 531 0.9× 186 0.7× 171 0.7× 120 0.7× 25 2.0k
Renata Colavitti Italy 17 1.3k 1.0× 324 0.5× 431 1.6× 206 0.8× 137 0.8× 21 2.3k
Jérôme Kluza France 28 1.5k 1.2× 474 0.8× 247 0.9× 353 1.4× 78 0.4× 70 2.7k
Eduardo N. Maldonado United States 26 1.5k 1.2× 471 0.8× 110 0.4× 107 0.4× 126 0.7× 55 2.2k
Silvia Borrello Italy 27 1.5k 1.1× 350 0.6× 416 1.6× 221 0.9× 95 0.5× 46 2.5k
Andelko Hrzenjak Austria 32 1.4k 1.1× 604 1.0× 224 0.8× 374 1.5× 438 2.4× 63 2.5k
Hong‐Duck Um South Korea 29 1.6k 1.2× 506 0.8× 344 1.3× 526 2.2× 79 0.4× 65 2.4k

Countries citing papers authored by Miho Akimoto

Since Specialization
Citations

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

Fields of papers citing papers by Miho Akimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miho Akimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Miho Akimoto. A scholar is included among the top collaborators of Miho Akimoto 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 Miho Akimoto. Miho Akimoto 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.
Akimoto, Miho, Nobuko Koshikawa, Takao Morinaga, et al.. (2025). Downregulation of sST2 , a decoy receptor for interleukin‐33, enhances subcutaneous tumor growth in murine pancreatic cancer cells. FEBS Open Bio. 15(12). 2031–2044.
2.
Akimoto, Miho, Takao Susa, Noriyuki Okudaira, et al.. (2023). Hypoxia induces downregulation of the tumor-suppressive sST2 in colorectal cancer cells via the HIF–nuclear IL-33–GATA3 pathway. Proceedings of the National Academy of Sciences. 120(18). e2218033120–e2218033120. 7 indexed citations
3.
Akimoto, Miho, Takao Susa, Noriyuki Okudaira, et al.. (2022). A novel LncRNA PTH-AS upregulates interferon-related DNA damage resistance signature genes and promotes metastasis in human breast cancer xenografts. Journal of Biological Chemistry. 298(7). 102065–102065. 6 indexed citations
4.
Takenaga, Keizo, Nobuko Koshikawa, Miho Akimoto, et al.. (2021). MCT4 is induced by metastasis-enhancing pathogenic mitochondrial NADH dehydrogenase gene mutations and can be a therapeutic target. Scientific Reports. 11(1). 13302–13302. 9 indexed citations
5.
Susa, Takao, Mimi Tamamori‐Adachi, Masayoshi Iizuka, et al.. (2020). 25(OH)D3 stimulates the expression of vitamin D target genes in renal tubular cells when Cyp27b1 is abrogated. The Journal of Steroid Biochemistry and Molecular Biology. 199. 105593–105593. 4 indexed citations
6.
Takenaga, Keizo, Miho Akimoto, Nobuko Koshikawa, & Hiroki Nagase. (2020). Cancer cell-derived interleukin-33 decoy receptor sST2 enhances orthotopic tumor growth in a murine pancreatic cancer model. PLoS ONE. 15(4). e0232230–e0232230. 11 indexed citations
7.
Akimoto, Miho, Riruke Maruyama, Yasunari Kawabata, Yoshitsugu Tajima, & Keizo Takenaga. (2018). Antidiabetic adiponectin receptor agonist AdipoRon suppresses tumour growth of pancreatic cancer by inducing RIPK1/ERK-dependent necroptosis. Cell Death and Disease. 9(8). 804–804. 87 indexed citations
8.
Akimoto, Miho, et al.. (2016). Interleukin-33 enhances programmed oncosis of ST2L-positive low-metastatic cells in the tumour microenvironment of lung cancer. Cell Death and Disease. 7(1). e2057–e2057. 48 indexed citations
9.
Akimoto, Miho, Riruke Maruyama, Hiroyuki Takamaru, Takahiro Ochiya, & Keizo Takenaga. (2016). Soluble IL-33 receptor sST2 inhibits colorectal cancer malignant growth by modifying the tumour microenvironment. Nature Communications. 7(1). 13589–13589. 84 indexed citations
10.
Akimoto, Miho, et al.. (2015). Anticancer Effect of Ginger Extract against Pancreatic Cancer Cells Mainly through Reactive Oxygen Species-Mediated Autotic Cell Death. PLoS ONE. 10(5). e0126605–e0126605. 127 indexed citations
11.
Akimoto, Miho, et al.. (2012). Attenuation of reactive oxygen species by antioxidants suppresses hypoxia-induced epithelial-mesenchymal transition and metastasis of pancreatic cancer cells. Clinical & Experimental Metastasis. 30(2). 143–154. 69 indexed citations
12.
Takahashi, Tsutomu, Koshi Kawakami, Miho Akimoto, et al.. (2010). Cyclopamine induces eosinophilic differentiation and upregulates CD44 expression in myeloid leukemia cells. Leukemia Research. 35(5). 638–645. 16 indexed citations
13.
Ishikawa, Kaori, Keizo Takenaga, Miho Akimoto, et al.. (2008). ROS-Generating Mitochondrial DNA Mutations Can Regulate Tumor Cell Metastasis. Science. 320(5876). 661–664. 1158 indexed citations breakdown →
15.
Honma, Yoshio & Miho Akimoto. (2007). Therapeutic strategy using phenotypic modulation of cancer cells by differentiation‐inducing agents. Cancer Science. 98(11). 1643–1651. 14 indexed citations
16.
Kasahara, Atsuko, Kaori Ishikawa, Makiko Yamaoka, et al.. (2006). Generation of trans-mitochondrial mice carrying homoplasmic mtDNAs with a missense mutation in a structural gene using ES cells. Human Molecular Genetics. 15(6). 871–881. 59 indexed citations
17.
18.
Hasegawa, Jun‐ichi, et al.. (1989). [A case of retroperitoneal schwannoma].. PubMed. 35(5). 839–42. 2 indexed citations
19.
Yoshida, Kazuhiko, et al.. (1984). [A clinical case of secondary tumor of the penis from the rectum, with malignant priapism].. PubMed. 30(2). 205–15. 9 indexed citations
20.
Nishimura, Takeshi, et al.. (1984). [Carcinoma of urachus: report of 3 cases and review of literature].. PubMed. 30(9). 1255–61. 6 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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