Tatsuya Akutsu

13.9k total citations · 1 hit paper
378 papers, 9.2k citations indexed

About

Tatsuya Akutsu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Tatsuya Akutsu has authored 378 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 290 papers in Molecular Biology, 80 papers in Computational Theory and Mathematics and 74 papers in Artificial Intelligence. Recurrent topics in Tatsuya Akutsu's work include Gene Regulatory Network Analysis (90 papers), Bioinformatics and Genomic Networks (89 papers) and Machine Learning in Bioinformatics (75 papers). Tatsuya Akutsu is often cited by papers focused on Gene Regulatory Network Analysis (90 papers), Bioinformatics and Genomic Networks (89 papers) and Machine Learning in Bioinformatics (75 papers). Tatsuya Akutsu collaborates with scholars based in Japan, China and Australia. Tatsuya Akutsu's co-authors include Jiangning Song, Satoru Miyano, Satoru Kuhara, Morihiro Hayashida, Jose C. Nacher, Geoffrey I. Webb, Fuyi Li, Wai‐Ki Ching, Michael K. Ng and Nobuhisa Ueda and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tatsuya Akutsu

362 papers receiving 8.9k citations

Hit Papers

1 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.

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

2019 323 citations Tatiana T. Marquez‐Lago, André Leier et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tatsuya Akutsu Japan	48	7.4k	1.4k	884	483	390	378	9.2k
Jean‐Philippe Vert France	48	6.0k 0.8×	1.1k 0.8×	1.7k 1.9×	819 1.7×	695 1.8×	120	9.6k
Roded Sharan Israel	57	11.3k 1.5×	3.0k 2.2×	1.1k 1.2×	1.1k 2.4×	952 2.4×	214	14.0k
Reinhard Schneider Germany	43	7.0k 1.0×	915 0.7×	368 0.4×	718 1.5×	325 0.8×	196	10.5k
Min Li China	53	7.3k 1.0×	2.8k 2.0×	927 1.0×	300 0.6×	1.4k 3.6×	489	10.8k
Doheon Lee South Korea	38	4.1k 0.6×	925 0.7×	873 1.0×	438 0.9×	464 1.2×	229	6.9k
Jinbo Xu United States	41	6.3k 0.8×	1.1k 0.8×	454 0.5×	595 1.2×	272 0.7×	153	7.9k
Limsoon Wong Singapore	46	4.7k 0.6×	1.2k 0.9×	1.7k 2.0×	356 0.7×	290 0.7×	303	7.8k
Fang‐Xiang Wu Canada	59	8.0k 1.1×	2.6k 1.9×	1.4k 1.6×	394 0.8×	2.2k 5.6×	443	12.2k
Nataša Pržulj United Kingdom	37	4.4k 0.6×	1.5k 1.1×	669 0.8×	195 0.4×	152 0.4×	92	6.0k
Dong Xu United States	72	9.7k 1.3×	858 0.6×	821 0.9×	1.3k 2.7×	644 1.7×	454	16.2k

Countries citing papers authored by Tatsuya Akutsu

Since Specialization

Citations

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

Fields of papers citing papers by Tatsuya Akutsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Akutsu

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

Umezu, Tomohiro, Tomoya Mori, Hidenori Toyoda, et al.. (2024). Analysis of Carcinogenic Involvement of MicroRNA Pattern in Peripheral Non-Cancerous Tissues and Chronic Viral Liver Injury. International Journal of Molecular Sciences. 25(14). 7858–7858. 1 indexed citations

Akutsu, Tatsuya, et al.. (2024). A practically efficient algorithm for identifying critical control proteins in directed probabilistic biological networks. npj Systems Biology and Applications. 10(1). 87–87. 1 indexed citations

Akutsu, Tatsuya, et al.. (2024). Measuring criticality in control of complex biological networks. npj Systems Biology and Applications. 10(1). 9–9. 2 indexed citations

Li, Chen, Yue Bi, Zhikang Wang, et al.. (2023). PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships. Bioinformatics. 39(3). 27 indexed citations

Akutsu, Tatsuya & Avraham A. Melkman. (2023). On the Size and Width of the Decoder of a Boolean Threshold Autoencoder. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3855–3862. 1 indexed citations

Azam, Naveed Ahmed, Yanming Sun, Yu Shi, et al.. (2021). A novel method for inference of acyclic chemical compounds with bounded branch-height based on artificial neural networks and integer programming. Algorithms for Molecular Biology. 16(1). 18–18. 8 indexed citations

Melkman, Avraham A., et al.. (2020). Extracting boolean and probabilistic rules from trained neural networks. Neural Networks. 126. 300–311. 2 indexed citations

Akutsu, Tatsuya, et al.. (2020). Comparison of Pseudoknotted RNA Secondary Structures by Topological Centroid Identification and Tree Edit Distance. Journal of Computational Biology. 27(9). 1443–1451. 2 indexed citations

Nagamochi, Hiroshi, et al.. (2020). A Novel Method for Inference of Chemical Compounds of Cycle Index Two with Desired Properties Based on Artificial Neural Networks and Integer Programming. Algorithms. 13(5). 124–124. 9 indexed citations

10.

Xie, Ruopeng, Jiahui Li, Jiawei Wang, et al.. (2020). DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy. Briefings in Bioinformatics. 22(3). 60 indexed citations

11.

Nacher, Jose C., et al.. (2019). An Overview of Bioinformatics Methods for Analyzing Autism Spectrum Disorders. Current Pharmaceutical Design. 25(43). 4552–4559. 3 indexed citations

12.

Hayashida, Morihiro, et al.. (2019). Optimal string clustering based on a Laplace-like mixture and EM algorithm on a set of strings. Journal of Computer and System Sciences. 106. 94–128. 1 indexed citations

13.

Akutsu, Tatsuya & Avraham A. Melkman. (2018). Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes. IEEE Transactions on Neural Networks and Learning Systems. 30(8). 2383–2396. 13 indexed citations

14.

Nakajima, Natsu, Morihiro Hayashida, Jesper Jansson, Osamu Maruyama, & Tatsuya Akutsu. (2018). Determining the minimum number of protein-protein interactions required to support known protein complexes. PLoS ONE. 13(4). e0195545–e0195545. 10 indexed citations

15.

Marini, Simone, et al.. (2018). Protease target prediction via matrix factorization. Bioinformatics. 35(6). 923–929. 9 indexed citations

16.

Hayashida, Morihiro & Tatsuya Akutsu. (2010). Comparing biological networks via graph compression. BMC Systems Biology. 4(S2). S13–S13. 15 indexed citations

17.

Akutsu, Tatsuya, et al.. (1998). Development of Web Interface of Image Analysis System DDGEL for 2D Gel Electrophoresis. Proceedings Genome Informatics Workshop/Genome informatics. 9. 336–337. 1 indexed citations

18.

Akutsu, Tatsuya, Satoru Miyano, & Satoru Kuhara. (1998). IDENTIFICATION OF GENETIC NETWORKS FROM A SMALL NUMBER OF GENE EXPRESSION PATTERNS UNDER THE BOOLEAN NETWORK MODEL. PubMed. 17–28. 462 indexed citations

19.

Akutsu, Tatsuya. (1995). A Parallel Algorithm for Determining the Congruence of Point Sets in Three-Dimensions. IEICE Transactions on Information and Systems. 78(4). 321–325. 1 indexed citations

20.

Akutsu, Tatsuya, et al.. (1986). Volcanic Eruptions of a Submarine Volcano in the Adjacent Area of MINAMI-IWOJIMA in 1986 Detected from Landsat TM Data. National Remote Sensing Bulletin. 6(1). 65–71. 2 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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