Masaaki Komatsu

2.6k total citations · 1 hit paper
70 papers, 1.4k citations indexed

About

Masaaki Komatsu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Masaaki Komatsu has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cancer Research and 13 papers in Epidemiology. Recurrent topics in Masaaki Komatsu's work include Cancer Genomics and Diagnostics (8 papers), Epigenetics and DNA Methylation (8 papers) and RNA modifications and cancer (8 papers). Masaaki Komatsu is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Epigenetics and DNA Methylation (8 papers) and RNA modifications and cancer (8 papers). Masaaki Komatsu collaborates with scholars based in Japan, United Kingdom and United States. Masaaki Komatsu's co-authors include Ryuji Hamamoto, Syuzo Kaneko, Ken Asada, Hidenori Machino, Ken Takasawa, Akira Sakai, Kanto Shozu, Ai Dozen, Suguru Yasutomi and Amina Bolatkan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Masaaki Komatsu

64 papers receiving 1.4k 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
Masaaki Komatsu Japan	22	393	345	225	198	191	70	1.4k
Ken Asada Japan	22	521 1.3×	335 1.0×	222 1.0×	76 0.4×	174 0.9×	44	1.3k
Daisuke Komura Japan	18	434 1.1×	402 1.2×	510 2.3×	306 1.5×	188 1.0×	63	1.5k
Pegah Khosravi United States	14	316 0.8×	398 1.2×	439 2.0×	95 0.5×	126 0.7×	25	1.3k
Ugljesa Djuric Canada	19	746 1.9×	222 0.6×	242 1.1×	88 0.4×	96 0.5×	24	1.5k
Hidenori Machino Japan	15	174 0.4×	263 0.8×	172 0.8×	43 0.2×	92 0.5×	25	719
Lucian Beer Austria	23	357 0.9×	767 2.2×	293 1.3×	193 1.0×	157 0.8×	82	1.9k
Mohammadhadi Bagheri United States	19	247 0.6×	535 1.6×	144 0.6×	404 2.0×	72 0.4×	66	1.5k
Arvydas Laurinavičius Lithuania	25	498 1.3×	323 0.9×	438 1.9×	397 2.0×	335 1.8×	105	1.8k
Thomas Clozel United States	13	332 0.8×	463 1.3×	439 2.0×	265 1.3×	248 1.3×	18	1.4k
Peter Chang United States	26	400 1.0×	1.3k 3.8×	662 2.9×	150 0.8×	121 0.6×	71	2.5k

Countries citing papers authored by Masaaki Komatsu

Since Specialization

Citations

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

Fields of papers citing papers by Masaaki Komatsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Komatsu

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

Komatsu, Masaaki, et al.. (2025). Clinical Application of Artificial Intelligence in Ultrasound Imaging for Oncology. JMA Journal. 8(1). 18–25. 1 indexed citations

Kato, Mayumi Kobayashi, Yukihide Momozawa, Masaaki Komatsu, et al.. (2024). Clinical features and impact of p53 status on sporadic mismatch repair deficiency and Lynch syndrome in uterine cancer. Cancer Science. 115(5). 1646–1655. 6 indexed citations

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 →

Kato, Mayumi Kobayashi, Yoko Shimada, Mitsuya Ishikawa, et al.. (2023). Utility of molecular subtypes and genetic alterations for evaluating clinical outcomes in 1029 patients with endometrial cancer. British Journal of Cancer. 128(8). 1582–1591. 24 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

Matsuoka, Ryu, et al.. (2023). EP24.14: Explainable AI to support examiners for abnormality detection in fetal cardiac ultrasound screening. Ultrasound in Obstetrics and Gynecology. 62(S1). 254–254. 1 indexed citations

Kato, Mayumi Kobayashi, Daisuke Takayanagi, Yoko Shimada, et al.. (2022). Clinical impact of genetic alterations of CTNNB1 in patients with grade 3 endometrial endometrioid carcinoma. Cancer Science. 113(5). 1712–1721. 8 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

Nagata, Toshiyuki, Kentaro Minami, Masatatsu Yamamoto, et al.. (2021). BHLHE41/DEC2 Expression Induces Autophagic Cell Death in Lung Cancer Cells and Is Associated with Favorable Prognosis for Patients with Lung Adenocarcinoma. International Journal of Molecular Sciences. 22(21). 11509–11509. 5 indexed citations

10.

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

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, 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

13.

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

14.

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

15.

Matsuoka, Ryu, Masaaki Komatsu, Akira Sakai, et al.. (2019). P08.01: A novel deep learning based system for fetal cardiac screening. Ultrasound in Obstetrics and Gynecology. 54(S1). 177–178. 6 indexed citations

16.

Komatsu, Masaaki, Heather E. Wheeler, Suyoun Chung, et al.. (2015). Pharmacoethnicity in Paclitaxel-Induced Sensory Peripheral Neuropathy. Clinical Cancer Research. 21(19). 4337–4346. 36 indexed citations

17.

Okumura, Akihisa, Hiroyuki Kidokoro, Takeshi Tsuji, et al.. (2009). Differences of Clinical Manifestations According to the Patterns of Brain Lesions in Acute Encephalopathy with Reduced Diffusion in the Bilateral Hemispheres. American Journal of Neuroradiology. 30(4). 825–830. 51 indexed citations

18.

Komatsu, Masaaki, Keiko Hiyama, Keiji Tanimoto, et al.. (2006). Prediction of individual response to platinum/paclitaxel combination using novel marker genes in ovarian cancers. Molecular Cancer Therapeutics. 5(3). 767–775. 20 indexed citations

19.

Yoneyama, N., et al.. (2003). Structural refinement and strengthening of an Fe–Mn–Si–Cr–Ni shape memory alloy by high-speed rolling. Materials Science and Engineering A. 350(1-2). 125–132. 12 indexed citations

20.

Fujimori, Maiko, Akira Sugenoya, S Kobayashi, et al.. (1989). [Local immunotherapy of breast cancer: a case of advanced breast cancer improved by combined local injection therapy with OK-432 and rIL-2].. PubMed. 16(8 Pt 2). 2760–3. 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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