The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hiroshi Mamitsuka sits on this spectrum.
This scientist: 226 publications — 55th percentile
55% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hiroshi Mamitsuka sits on this spectrum.
This scientist: 41 D-Index — 40th percentile
40% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Hiroshi Mamitsuka is affiliated with Kyoto University in Japan and has a substantial publication record in the intersection of biochemistry, genetics, molecular biology, and computer science. Their research predominantly spans molecular biology and computational theory, with a notable emphasis on artificial intelligence and its applications.
Their recent scholarly output includes several papers published between 2020 and 2022. Among these are "DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction" (2021, Bioinformatics), "Machine learning approaches for drug combination therapies" (2021, Briefings in Bioinformatics), "Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean" (2020, iScience), "BERTMeSH: deep contextual representation learning for large-scale high-performance MeSH indexing with full text" (2020, Bioinformatics), and "DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction" (2022, Bioinformatics).
The primary topics covered in their research include computational drug discovery methods, bioinformatics and genomic networks, biomedical text mining and ontologies, machine learning in bioinformatics, vaccines and immunoinformatics approaches, machine learning in materials science, and advanced graph neural networks.
The scientist regularly collaborates with several coauthors. Frequent collaborators include Canh Hao Nguyen, Shanfeng Zhu, Ronghui You, Hai Nguyen, and Đức Anh Nguyễn.
Hiroshi Mamitsuka's work has appeared in various publication venues, with multiple contributions to:
Their scientific pursuits demonstrate a blend of expertise in computational methods and their applications to biological systems, focusing on both theoretical and practical aspects of machine learning-enhanced biological data analysis.
Naoki Abe;Hiroshi Mamitsuka
Hao Ding;Ichigaku Takigawa;Hiroshi Mamitsuka;Shanfeng Zhu
Xiaodong Zheng;Hao Ding;Hiroshi Mamitsuka;Shanfeng Zhu
Hiroshi Mamitsuka
Ronghui You;Zihan Zhang;Yi Xiong;Fengzhu Sun;Fengzhu Sun
Ronghui You;Zihan Zhang;Ziye Wang;Suyang Dai
Lianming Zhang;Keiko Udaka;Hiroshi Mamitsuka;Shanfeng Zhu
Ronghui You;Ronghui You;Shuwei Yao;Shuwei Yao;Yi Xiong;Xiaodi Huang
Masayuki Karasuyama;Hiroshi Mamitsuka
Qingjun Yuan;Junning Gao;Dongliang Wu;Shihua Zhang
Hiroshi Mamitsuka
Shanfeng Zhu;Yasushi Okuno;Gozoh Tsujimoto;Hiroshi Mamitsuka
Ronghui You;Shuwei Yao;Hiroshi Mamitsuka;Hiroshi Mamitsuka;Shanfeng Zhu
Shengwen Peng;Ronghui You;Hongning Wang;Chengxiang Zhai
Motoki Shiga;Ichigaku Takigawa;Hiroshi Mamitsuka
Shanfeng Zhu;Jia Zeng;Hiroshi Mamitsuka
Kiyoko F. Aoki;Atsuko Yamaguchi;Nobuhisa Ueda;Tatsuya Akutsu
David A. duVerle;Yasuko Ono;Hiroyuki Sorimachi;Hiroshi Mamitsuka
Betül Güvenç Paltun;Betül Güvenç Paltun;Samuel Kaski;Samuel Kaski;Samuel Kaski;Hiroshi Mamitsuka;Hiroshi Mamitsuka;Hiroshi Mamitsuka
Naoki Abe;Hiroshi Mamitsuka
Kiyoko F. Aoki;Atsuko Yamaguchi;Yasushi Okuno;Tatsuya Akutsu
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