Ayuko Hoshino

15.9k total citations · 1 hit paper
23 papers, 1.8k citations indexed

About

Ayuko Hoshino is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Ayuko Hoshino has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Biomedical Engineering. Recurrent topics in Ayuko Hoshino's work include Extracellular vesicles in disease (11 papers), Cancer Cells and Metastasis (3 papers) and Cell Adhesion Molecules Research (3 papers). Ayuko Hoshino is often cited by papers focused on Extracellular vesicles in disease (11 papers), Cancer Cells and Metastasis (3 papers) and Cell Adhesion Molecules Research (3 papers). Ayuko Hoshino collaborates with scholars based in Japan, United States and Germany. Ayuko Hoshino's co-authors include David Lyden, Haiying Zhang, Irina Matei, Cyrus M. Ghajar, Bethan Psaila, Janine T. Erler, Bruno Costa‐Silva, Gonçalo Rodrigues, Sachie Hiratsuka and Thomas R. Cox and has published in prestigious journals such as Nature, Nature Communications and Nano Letters.

In The Last Decade

Ayuko Hoshino

19 papers receiving 1.8k citations

Hit Papers

Pre-metastatic niches: organ-specific homes for metastases 2017 2026 2020 2023 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayuko Hoshino Japan 10 996 780 641 400 225 23 1.8k
Abdel Hosein United States 13 1.5k 1.5× 1.0k 1.3× 963 1.5× 418 1.0× 230 1.0× 17 2.4k
Sofia Gkountela Switzerland 15 1.1k 1.1× 1.2k 1.5× 821 1.3× 402 1.0× 327 1.5× 16 2.3k
Daniel Öhlund Sweden 17 802 0.8× 1.3k 1.7× 572 0.9× 431 1.1× 248 1.1× 35 2.0k
Karen M. Bussard United States 16 699 0.7× 985 1.3× 385 0.6× 219 0.5× 210 0.9× 29 1.7k
Dong‐Joo Cheon United States 17 806 0.8× 615 0.8× 430 0.7× 171 0.4× 203 0.9× 30 1.6k
Barzin Y. Nabet United States 10 1.5k 1.5× 641 0.8× 1.1k 1.6× 446 1.1× 120 0.5× 33 2.2k
Irina Matei United States 15 1.4k 1.4× 1.3k 1.7× 946 1.5× 692 1.7× 349 1.6× 24 2.8k
Albert Santamaria‐Martínez Switzerland 13 710 0.7× 865 1.1× 410 0.6× 198 0.5× 101 0.4× 20 1.5k
Sudarshan Anand United States 22 1.1k 1.1× 793 1.0× 726 1.1× 686 1.7× 75 0.3× 44 2.3k
Malin Pedersen United Kingdom 22 1.3k 1.3× 1.1k 1.4× 293 0.5× 673 1.7× 154 0.7× 37 2.4k

Countries citing papers authored by Ayuko Hoshino

Since Specialization
Citations

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

Fields of papers citing papers by Ayuko Hoshino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayuko Hoshino

This figure shows the co-authorship network connecting the top 25 collaborators of Ayuko Hoshino. A scholar is included among the top collaborators of Ayuko Hoshino 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 Ayuko Hoshino. Ayuko Hoshino 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.
Hirosawa, Koichiro M., Yusuke Sato, Rinshi S. Kasai, et al.. (2025). Uptake of small extracellular vesicles by recipient cells is facilitated by paracrine adhesion signaling. Nature Communications. 16(1). 2419–2419. 14 indexed citations
2.
Terai, Shuji, Ayuko Hoshino, Masahiro Kino‐oka, et al.. (2025). Guidance on the clinical application of extracellular vesicles. Regenerative Therapy. 29. 43–50. 3 indexed citations
3.
Takemori, Ayako, Philipp T. Kaulich, Ryo Konno, et al.. (2023). GeLC‐FAIMS‐MS workflow for in‐depth middle‐down proteomics. PROTEOMICS. 24(3-4). e2200431–e2200431. 8 indexed citations
4.
Bojmar, Linda, et al.. (2023). Protocol for Plasma Extracellular Vesicle and Particle Isolation and Mass Spectrometry-Based Proteomic Identification. Methods in molecular biology. 2628. 291–300.
5.
Bojmar, Linda, Han Sang Kim, Kei Sugiura, et al.. (2023). Protocol for cross-platform characterization of human and murine extracellular vesicles and particles. STAR Protocols. 5(1). 102754–102754. 2 indexed citations
6.
Ito, Kazuma, Masayoshi Tanaka, Kei Sugiura, et al.. (2023). A peptide binding to the tetraspanin CD9 reduces cancer metastasis. Biomaterials Advances. 146. 213283–213283. 11 indexed citations
7.
Hoshino, Ayuko. (2023). Freeing up Japan’s PhD potential. Nature. 615(7951). S57–S57.
8.
Agetsuma, Masakazu, et al.. (2023). Needle‐type pressure sensor with silicone oil and parylene membrane inside for minimally invasive measurement. Electronics and Communications in Japan. 106(3).
10.
Khan, Imran, Brunilde Gril, Ayuko Hoshino, et al.. (2022). Metastasis suppressor NME1 in exosomes or liposomes conveys motility and migration inhibition in breast cancer model systems. Clinical & Experimental Metastasis. 39(5). 815–831. 7 indexed citations
11.
Sugiura, Kei, et al.. (2021). [Exosome, a Nano-Sized Carrier, and the Brain-Gut Correlation].. PubMed. 73(8). 879–887. 1 indexed citations
12.
Hashimoto, Ayako, Kei Sugiura, & Ayuko Hoshino. (2020). Impact of exosome-mediated feto-maternal interactions on pregnancy maintenance and development of obstetric complications. The Journal of Biochemistry. 169(2). 163–171. 21 indexed citations
13.
Hoshino, Ayuko, et al.. (2019). Understanding the role of seminal fluid exosomes within the male reproductive tract. Fertility and Sterility. 111(4). e7–e8. 9 indexed citations
14.
Wittkowski, Knut M., et al.. (2018). Complex polymorphisms in endocytosis genes suggest alpha-cyclodextrin as a treatment for breast cancer. PLoS ONE. 13(7). e0199012–e0199012. 15 indexed citations
15.
Gunnala, V., Irina Matei, Marco Toschi, et al.. (2018). Characterization of human pre-implantation embryonic exosomes. Fertility and Sterility. 110(4). e81–e81. 3 indexed citations
16.
Peinado, Héctor, Haiying Zhang, Irina Matei, et al.. (2017). Pre-metastatic niches: organ-specific homes for metastases. Nature reviews. Cancer. 17(5). 302–317. 1350 indexed citations breakdown →
17.
Ito, Suguru, Genichiro Ishii, Ayuko Hoshino, et al.. (2012). Tumor promoting effect of podoplanin-positive fibroblasts is mediated by enhanced RhoA activity. Biochemical and Biophysical Research Communications. 422(1). 194–199. 45 indexed citations
18.
Hoshino, Ayuko, Genichiro Ishii, Tetsufumi Ito, et al.. (2011). Podoplanin-Positive Fibroblasts Enhance Lung Adenocarcinoma Tumor Formation: Podoplanin in Fibroblast Functions for Tumor Progression. Cancer Research. 71(14). 4769–4779. 145 indexed citations
19.
Hoshino, Ayuko, et al.. (2008). Human vascular adventitial fibroblasts contain mesenchymal stem/progenitor cells. Biochemical and Biophysical Research Communications. 368(2). 305–310. 87 indexed citations
20.
Ito, Tetsufumi, Genichiro Ishii, Seiji Saito, et al.. (2008). Degradation of soluble VEGF receptor-1 by MMP-7 allows VEGF access to endothelial cells. Blood. 113(10). 2363–2369. 78 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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