Akimasa Seno

1.6k total citations
64 papers, 1.1k citations indexed

About

Akimasa Seno is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Akimasa Seno has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 42 papers in Oncology and 14 papers in Biomedical Engineering. Recurrent topics in Akimasa Seno's work include Cancer Cells and Metastasis (37 papers), Pluripotent Stem Cells Research (20 papers) and 3D Printing in Biomedical Research (12 papers). Akimasa Seno is often cited by papers focused on Cancer Cells and Metastasis (37 papers), Pluripotent Stem Cells Research (20 papers) and 3D Printing in Biomedical Research (12 papers). Akimasa Seno collaborates with scholars based in Japan, Egypt and United States. Akimasa Seno's co-authors include Masaharu Seno, Said M. Afify, Ghmkin Hassan, Maram H. Zahra, Aung Ko Ko Oo, Arun Vaidyanath, Anna Sanchez Calle, Tomonari Kasai, Yoshiaki Iwasaki and Neha Nair and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Akimasa Seno

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akimasa Seno Japan 19 658 563 203 177 175 64 1.1k
Lan Thi Phi Vietnam 12 750 1.1× 489 0.9× 314 1.5× 114 0.6× 114 0.7× 24 1.2k
Huan Deng China 21 756 1.1× 237 0.4× 319 1.6× 221 1.2× 251 1.4× 48 1.3k
Yuhua Li China 24 861 1.3× 641 1.1× 367 1.8× 159 0.9× 244 1.4× 88 1.7k
Xiaojia Niu China 12 675 1.0× 246 0.4× 212 1.0× 141 0.8× 268 1.5× 22 1.2k
Wantong Yao China 21 770 1.2× 540 1.0× 382 1.9× 171 1.0× 171 1.0× 29 1.5k
Zeng Fan China 17 609 0.9× 278 0.5× 191 0.9× 136 0.8× 125 0.7× 62 1.2k
Zhennan Yuan China 12 486 0.7× 278 0.5× 324 1.6× 165 0.9× 213 1.2× 30 1.1k
Christina Körbel Germany 19 630 1.0× 264 0.5× 234 1.2× 121 0.7× 154 0.9× 39 1.3k
Sheng Zhou China 24 586 0.9× 372 0.7× 239 1.2× 106 0.6× 98 0.6× 46 1.1k
Dimas Carolina Belisario Italy 16 401 0.6× 252 0.4× 247 1.2× 161 0.9× 95 0.5× 19 868

Countries citing papers authored by Akimasa Seno

Since Specialization
Citations

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

Fields of papers citing papers by Akimasa Seno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akimasa Seno

This figure shows the co-authorship network connecting the top 25 collaborators of Akimasa Seno. A scholar is included among the top collaborators of Akimasa Seno 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 Akimasa Seno. Akimasa Seno 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.
Seno, Akimasa, Zhuoyue Bi, Lisa Polin, et al.. (2025). Genome-wide mapping of arsenic-activated Nrf2 reveals metabolic and epigenetic reprogramming in induced pluripotent stem cells. Redox Biology. 86. 103773–103773. 2 indexed citations
2.
Ji, Haoyan, Zhuoyue Bi, Akimasa Seno, et al.. (2024). Genomic and epigenetic characterization of the arsenic-induced oncogenic microRNA-21. Environmental Pollution. 345. 123396–123396. 4 indexed citations
3.
Hassan, Ghmkin, Said M. Afify, Maram H. Zahra, et al.. (2023). GSK-3α/β and MEK inhibitors assist the microenvironment of tumor initiation. Cytotechnology. 75(3). 243–253. 1 indexed citations
4.
Afify, Said M., Ghmkin Hassan, Maram H. Zahra, et al.. (2023). Cancer stem cells as the source of tumor associated myoepithelial cells in the tumor microenvironment developing ductal carcinoma in situ. Biomaterials. 301. 122249–122249. 5 indexed citations
5.
Zahra, Maram H., et al.. (2022). Cancer Stem Cells Contribute to Drug Resistance in Multiple Different Ways. Advances in experimental medicine and biology. 1393. 125–139. 8 indexed citations
6.
Minematsu, Hideki, Said M. Afify, Ghmkin Hassan, et al.. (2022). Cancer stem cells induced by chronic stimulation with prostaglandin E2 exhibited constitutively activated PI3K axis. Scientific Reports. 12(1). 15628–15628. 9 indexed citations
7.
Afify, Said M., Ghmkin Hassan, Maram H. Zahra, et al.. (2022). A comparative study of metastatic potentials of three different cancer stem cell models. SHILAP Revista de lepidopterología. 5. 100062–100062.
8.
Hassan, Ghmkin, Said M. Afify, Maram H. Zahra, et al.. (2021). Chronic exposure to FGF2 converts iPSCs into cancer stem cells with an enhanced integrin/focal adhesion/PI3K/AKT axis. Cancer Letters. 521. 142–154. 22 indexed citations
9.
Yabe, Rikio, Soo-Hyun Chung, Masanori A. Murayama, et al.. (2021). TARM1 contributes to development of arthritis by activating dendritic cells through recognition of collagens. Nature Communications. 12(1). 94–94. 18 indexed citations
10.
Fu, Yao, Zhuoyue Bi, Lingzhi Li, et al.. (2021). Metabolomic dynamics of the arsenic-transformed bronchial epithelial cells and the derived cancer stem-like cells. International Journal of Biological Sciences. 18(1). 301–314. 8 indexed citations
11.
Afify, Said M., Ghmkin Hassan, Ting Yan, Akimasa Seno, & Masaharu Seno. (2021). Cancer Stem Cell Initiation by Tumor-Derived Extracellular Vesicles. Methods in molecular biology. 2549. 399–407. 9 indexed citations
12.
Du, Juan, Akimasa Seno, Aung Ko Ko Oo, et al.. (2020). Upregulated CCL20 and CCR6 in Cancer Stem Cells Converted from Mouse iPS Cells. Okayama University Scientific Achievement Repository (Okayama University). 8(1). 200–207. 1 indexed citations
13.
Hassan, Ghmkin, Said M. Afify, Yoshihiro Kodama, et al.. (2020). Cancer Stem Cell Microenvironment Models with Biomaterial Scaffolds In Vitro. Processes. 9(1). 45–45. 11 indexed citations
14.
Du, Juan, Aung Ko Ko Oo, Ghmkin Hassan, et al.. (2020). Signaling Inhibitors Accelerate the Conversion of mouse iPS Cells into Cancer Stem Cells in the Tumor Microenvironment. Scientific Reports. 10(1). 9955–9955. 18 indexed citations
15.
Seno, Akimasa, et al.. (2019). Daunorubicin can eliminate iPS-derived cancer stem cells via ICAD/CAD-independent DNA fragmentation. Cancer Drug Resistance. 2(2). 335–350. 3 indexed citations
16.
Alam, Md. Jahangir, Ryota Takahashi, Said M. Afify, et al.. (2018). Exogenous Cripto-1 Suppresses Self-Renewal of Cancer Stem Cell Model. International Journal of Molecular Sciences. 19(11). 3345–3345. 11 indexed citations
17.
Masuda, Junko, Apriliana Cahya Khayrani, Akimasa Seno, et al.. (2017). Practical Liposomal Formulation for Taxanes with Polyethoxylated Castor Oil and Ethanol with Complete Encapsulation Efficiency and High Loading Efficiency. Nanomaterials. 7(10). 290–290. 8 indexed citations
18.
Masuda, Junko, Hiroshi Kawamoto, Warren Strober, et al.. (2016). Transient Tcf3 Gene Repression by TALE-Transcription Factor Targeting. Applied Biochemistry and Biotechnology. 180(8). 1559–1573. 5 indexed citations
19.
Calle, Anna Sanchez, Neha Nair, Aung Ko Ko Oo, et al.. (2016). A new PDAC mouse model originated from iPSCs-converted pancreatic cancer stem cells (CSCcm).. American Journal of Cancer Research. 6(12). 2799–2815. 42 indexed citations
20.
Seno, Akimasa, Takumi Maruhashi, Tomonori Kaifu, et al.. (2014). Exacerbation of experimental autoimmune encephalomyelitis in mice deficient for DCIR, an inhibitory C-type lectin receptor. EXPERIMENTAL ANIMALS. 64(2). 109–119. 35 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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