Ken Asada

2.1k total citations · 1 hit paper
44 papers, 1.3k citations indexed

About

Ken Asada is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ken Asada has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ken Asada's work include RNA modifications and cancer (7 papers), Cancer Genomics and Diagnostics (6 papers) and Epigenetics and DNA Methylation (6 papers). Ken Asada is often cited by papers focused on RNA modifications and cancer (7 papers), Cancer Genomics and Diagnostics (6 papers) and Epigenetics and DNA Methylation (6 papers). Ken Asada collaborates with scholars based in Japan, United Kingdom and United States. Ken Asada's co-authors include Ryuji Hamamoto, Masaaki Komatsu, Syuzo Kaneko, Hidenori Machino, Ken Takasawa, Akira Sakai, Kanto Shozu, Ai Dozen, Tetsushi Furukawa and Junko Kurokawa and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ken Asada

42 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review

2024 58 citations Satoshi Takahashi, Yusuke Sakaguchi et al. Journal of Medical Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ken Asada Japan	22	521	335	222	207	174	44	1.3k
Phedias Diamandis Canada	22	571 1.1×	320 1.0×	362 1.6×	37 0.2×	222 1.3×	60	1.6k
Jason M. Laramie United States	18	737 1.4×	93 0.3×	136 0.6×	84 0.4×	170 1.0×	34	2.3k
Ugljesa Djuric Canada	19	746 1.4×	222 0.7×	242 1.1×	14 0.1×	96 0.6×	24	1.5k
Yang Hou China	27	233 0.4×	1.1k 3.1×	83 0.4×	370 1.8×	157 0.9×	141	2.4k
Eugene Fan United States	4	313 0.6×	289 0.9×	58 0.3×	344 1.7×	21 0.1×	7	931
Tomasz Jadczyk Poland	18	459 0.9×	67 0.2×	73 0.3×	187 0.9×	160 0.9×	60	1.0k
Olivier Poirion United States	13	1.1k 2.2×	240 0.7×	210 0.9×	29 0.1×	488 2.8×	22	1.7k
Rajarsi Gupta United States	18	116 0.2×	643 1.9×	468 2.1×	72 0.3×	72 0.4×	51	1.3k
Yuanxu Gao China	13	729 1.4×	133 0.4×	140 0.6×	20 0.1×	540 3.1×	35	1.3k
Guido Davidzon United States	26	815 1.6×	739 2.2×	77 0.3×	23 0.1×	114 0.7×	80	2.1k

Countries citing papers authored by Ken Asada

Since Specialization

Citations

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

Fields of papers citing papers by Ken Asada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Asada

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Asada. A scholar is included among the top collaborators of Ken Asada 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 Ken Asada. Ken Asada 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

Takahashi, Satoshi, Yusuke Sakaguchi, Ken Takasawa, et al.. (2024). Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review. Journal of Medical Systems. 48(1). 84–84. 58 indexed citations breakdown →

Sasano, Tetsuo, et al.. (2024). Edge AI Model Deployed for Real-Time Detection of Atrial Fibrillation Risk during Sinus Rhythm. Journal of Clinical Medicine. 13(8). 2218–2218. 3 indexed citations

Hamamoto, Ryuji, Ken Takasawa, Norio Shinkai, et al.. (2023). Analysis of super-enhancer using machine learning and its application to medical biology. Briefings in Bioinformatics. 24(3). 9 indexed citations

Machino, Hidenori, Ai Dozen, Masaaki Komatsu, et al.. (2023). Integrative analysis reveals early epigenetic alterations in high-grade serous ovarian carcinomas. Experimental & Molecular Medicine. 55(10). 2205–2219. 6 indexed citations

Asada, Ken, Hongorzul Davaapil, Matthew Morrison, et al.. (2022). PRELP Regulates Cell–Cell Adhesion and EMT and Inhibits Retinoblastoma Progression. Cancers. 14(19). 4926–4926. 12 indexed citations

Kaburagi, Hidetoshi, Tetsuya Nagata, Mitsuhiro Enomoto, et al.. (2022). Systemic DNA/RNA heteroduplex oligonucleotide administration for regulating the gene expression of dorsal root ganglion and sciatic nerve. Molecular Therapy — Nucleic Acids. 28. 910–919. 7 indexed citations

Shozu, Kanto, Syuzo Kaneko, Norio Shinkai, et al.. (2022). Repression of the PRELP gene is relieved by histone deacetylase inhibitors through acetylation of histone H2B lysine 5 in bladder cancer. Clinical Epigenetics. 14(1). 147–147. 9 indexed citations

Hamamoto, Ryuji, Ken Takasawa, Hidenori Machino, et al.. (2022). Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine. Briefings in Bioinformatics. 23(4). 31 indexed citations

Bolatkan, Amina, Ken Asada, Syuzo Kaneko, et al.. (2021). Downregulation of METTL6 mitigates cell progression, migration, invasion and adhesion in hepatocellular carcinoma by inhibiting cell adhesion molecules. International Journal of Oncology. 60(1). 25 indexed citations

10.

Komatsu, Masaaki, Akira Sakai, Ai Dozen, et al.. (2021). Towards Clinical Application of Artificial Intelligence in Ultrasound Imaging. Biomedicines. 9(7). 720–720. 75 indexed citations

11.

Takahashi, Satoshi, Ken Asada, Ken Takasawa, et al.. (2020). Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data. Biomolecules. 10(10). 1460–1460. 62 indexed citations

12.

Asada, Ken, Daishi Yui, Fumika Sakaue, et al.. (2020). Separation-related rapid nuclear transport of DNA/RNA heteroduplex oligonucleotide: unveiling distinctive intracellular trafficking. Molecular Therapy — Nucleic Acids. 23. 1360–1370. 7 indexed citations

13.

Asada, Ken, Amina Bolatkan, Ken Takasawa, et al.. (2020). Critical Roles of N6-Methyladenosine (m6A) in Cancer and Virus Infection. Biomolecules. 10(7). 1071–1071. 18 indexed citations

14.

Yasutomi, Suguru, Akira Sakai, Masaaki Komatsu, et al.. (2019). Unsupervised Shadow Detection for Ultrasound Images by Deep Learning. IEICE Technical Report; IEICE Tech. Rep.. 118(412). 151–156. 1 indexed citations

15.

Bolatkan, Amina, Syuzo Kaneko, Noriko Ikawa, et al.. (2019). Deregulation of the Histone Lysine-Specific Demethylase 1 Is Involved in Human Hepatocellular Carcinoma. Biomolecules. 9(12). 810–810. 22 indexed citations

16.

Asada, Ken, et al.. (2018). Cytosolic Genomic DNA functions as a Natural Antisense. Scientific Reports. 8(1). 8551–8551. 11 indexed citations

17.

Kuwahara, Hiroya, Akihiro Watari, Masuo Kondoh, et al.. (2018). Angubindin-1 opens the blood–brain barrier in vivo for delivery of antisense oligonucleotide to the central nervous system. Journal of Controlled Release. 283. 126–134. 47 indexed citations

18.

Asada, Ken, Emanuele Canestrari, & Zain Paroo. (2016). A druggable target for rescuing microRNA defects. Bioorganic & Medicinal Chemistry Letters. 26(20). 4942–4946. 6 indexed citations

19.

Asada, Ken, Junko Kurokawa, & Tetsushi Furukawa. (2009). Redox- and Calmodulin-dependent S-Nitrosylation of the KCNQ1 Channel. Journal of Biological Chemistry. 284(9). 6014–6020. 55 indexed citations

20.

Bando, Toshikazu, et al.. (2004). Enantioselective DNA Alkylation by a Pyrrole−Imidazole S-CBI Conjugate. Journal of the American Chemical Society. 126(29). 8948–8955. 24 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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