Osamu Maruyama

1.6k total citations · 1 hit paper
39 papers, 1.1k citations indexed

About

Osamu Maruyama is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Osamu Maruyama has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 10 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Osamu Maruyama's work include Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (11 papers) and Machine Learning in Bioinformatics (8 papers). Osamu Maruyama is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (11 papers) and Machine Learning in Bioinformatics (8 papers). Osamu Maruyama collaborates with scholars based in Japan, Singapore and Hong Kong. Osamu Maruyama's co-authors include Satoru Miyano, Hideo Bannai, Yoshinori Tamada, Kenta Nakai, Tatsuya Akutsu, Satoru Kuhara, Yusuke Nakamura, Limsoon Wong, Taro Shuin and Shingo Ashida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Osamu Maruyama

35 papers receiving 1.1k 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.

Extensive feature detection of N-terminal protein sorting signals

2002 604 citations Hideo Bannai, Yoshinori Tamada et al. Bioinformatics profile →

Peers

Countries citing papers authored by Osamu Maruyama

Since Specialization

Citations

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

Fields of papers citing papers by Osamu Maruyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Osamu Maruyama

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

#	Work	Indexed citations
1	CMIC: predicting DNA methylation inheritance of CpG islands with embedding vectors of variable-length k-mers 2022 ·BMC Bioinformatics ·Osamu Maruyama, Yinuo Li, Hiroki Narita, Hidehiro Toh, Wan Kin Au Yeung, Hiroyuki Sasaki	3
2	A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patterns 2021 ·BMC Bioinformatics ·Wan Kin Au Yeung, Osamu Maruyama, Hiroyuki Sasaki	1
3	Determining the minimum number of protein-protein interactions required to support known protein complexes 2018 ·PLoS ONE ·Natsu Nakajima, Morihiro Hayashida, Jesper Jansson, Osamu Maruyama, Tatsuya Akutsu	10
4	RocSampler: regularizing overlapping protein complexes in protein-protein interaction networks 2017 ·BMC Bioinformatics ·Osamu Maruyama, (unknown)	2
5	Heterodimeric protein complex identification by naïve Bayes classifiers 2013 ·BMC Bioinformatics ·Osamu Maruyama	9
6	PPSampler2: Predicting protein complexes more accurately and efficiently by sampling 2013 ·BMC Systems Biology ·(unknown), Osamu Maruyama	14
7	Prediction of Heterodimeric Protein Complexes from Weighted Protein-Protein Interaction Networks Using Novel Features and Kernel Functions 2013 ·PLoS ONE ·(unknown), Morihiro Hayashida, Osamu Maruyama, Tatsuya Akutsu	10
8	Sampling strategy for protein complex prediction using cluster size frequency 2012 ·Gene ·(unknown), Osamu Maruyama	17
9	NWE: Node-weighted expansion for protein complex prediction using random walk distances 2011 ·Proteome Science ·Osamu Maruyama, (unknown)	19
10	Hypoxia-Inducible Protein 2 ( HIG2 ), a Novel Diagnostic Marker for Renal Cell Carcinoma and Potential Target for Molecular Therapy 2005 ·Cancer Research ·(unknown), Toyomasa Katagiri, Shingo Ashida, Tomoaki Fujioka, Osamu Maruyama, Yoshiaki Wakumoto, (unknown), Μakoto Fujime, (unknown), Taro Shuin, Yusuke Nakamura	82
11	Identification of genetic networks by strategic gene disruptions and gene overexpressions under a boolean model 2003 ·Theoretical Computer Science ·Tatsuya Akutsu, Satoru Kuhara, Osamu Maruyama, Satoru Miyano	46
12	Finding optimal degenerate patterns in DNA sequences 2003 ·Bioinformatics ·(unknown), Tatsuya Akutsu, Osamu Maruyama	11
13	A Method for the Best Model Selection for Single and Paired Motifs 2002 ·Proceedings Genome Informatics Workshop/Genome informatics ·(unknown), Osamu Maruyama	1
14	Extensive feature detection of N-terminal protein sorting signals breakdown → 2002 ·Bioinformatics ·Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Kenta Nakai, Satoru Miyano	604
15	HypothesisCreator: Concepts for Accelerating the Computational Knowledge Discovery Process. 2001 ·KTH Publication Database DiVA (KTH Royal Institute of Technology) ·Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano	1
16	Views: Fundamental Building Blocks in the Process of Knowledge Discovery 2001 ·The Florida AI Research Society ·Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Kenta Nakai, Satoru Miyano	16
17	Design Aspects of Discovery Systems 2000 ·IEICE Transactions on Information and Systems ·Osamu Maruyama, Satoru Miyano	1
18	Finding Sparse Gene Networks 2000 ·Proceedings Genome Informatics Workshop/Genome informatics ·Ayumi Shinohara, Keisuke Iida, Masayuki Takeda, Osamu Maruyama, Satoru Miyano, Satoru Kuhara	2
19	Identification of gene regulatory networks by strategic gene disruptions and gene overexpressions 1998 ·Symposium on Discrete Algorithms ·Tatsuya Akutsu, Satoru Kuhara, Osamu Maruyama, Satoru Miyano	67
20	Identification of Gene Regulatory Networks by Strategic Gene Disruptions and Gene Overexpressions 1997 ·Proceedings Genome Informatics Workshop/Genome informatics ·Tatsuya Akutsu, Satoru Kuhara, Osamu Maruyama, Satoru Miyano	5

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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