Masaru Tomita

52.1k total citations · 6 hit papers
578 papers, 28.8k citations indexed

About

Masaru Tomita is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Masaru Tomita has authored 578 papers receiving a total of 28.8k indexed citations (citations by other indexed papers that have themselves been cited), including 420 papers in Molecular Biology, 83 papers in Genetics and 57 papers in Ecology. Recurrent topics in Masaru Tomita's work include RNA and protein synthesis mechanisms (98 papers), Metabolomics and Mass Spectrometry Studies (92 papers) and Genomics and Phylogenetic Studies (85 papers). Masaru Tomita is often cited by papers focused on RNA and protein synthesis mechanisms (98 papers), Metabolomics and Mass Spectrometry Studies (92 papers) and Genomics and Phylogenetic Studies (85 papers). Masaru Tomita collaborates with scholars based in Japan, United States and Italy. Masaru Tomita's co-authors include Tomoyoshi Soga, Hirotada Mori, Miki Hasegawa, Yuki Takai, Tomoya Baba, Takeshi Ara, Barry L. Wanner, Kirill A. Datsenko, Yasushi Ishihama and Masahiro Sugimoto and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Masaru Tomita

567 papers receiving 28.3k citations

Hit Papers

5 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.

Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection

2006 6.2k citations Tomoya Baba, Takeshi Ara et al. Molecular Systems Biology profile →
Systematic identification of cell cycle-dependent yeast nucleocytoplasmic shuttling proteins by prediction of composite motifs

2009 949 citations Masaru Tomita et al. profile →
Quantitative Metabolome Profiling of Colon and Stomach Cancer Microenvironment by Capillary Electrophoresis Time-of-Flight Mass Spectrometry

2009 786 citations Akiyoshi Hirayama, Kenjiro Kami et al. Cancer Research profile →
Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles

2009 782 citations Masahiro Sugimoto, Akiyoshi Hirayama et al. profile →
Quantitative Metabolome Analysis Using Capillary Electrophoresis Mass Spectrometry

2003 762 citations Tomoyoshi Soga, Yoshiaki Ohashi et al. profile →
Differential Metabolomics Reveals Ophthalmic Acid as an Oxidative Stress Biomarker Indicating Hepatic Glutathione Consumption

2006 579 citations Tomoyoshi Soga, Masaru Tomita et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masaru Tomita Japan	67	20.9k	5.1k	2.8k	2.4k	2.2k	578	28.8k
Michael Kuhn Germany	55	23.9k 1.1×	2.9k 0.6×	1.5k 0.5×	930 0.4×	2.5k 1.1×	153	39.2k
Amos Bairoch Switzerland	78	27.9k 1.3×	4.1k 0.8×	3.1k 1.1×	1.8k 0.7×	5.4k 2.4×	155	38.7k
Charles R. Cantor United States	85	24.3k 1.2×	5.8k 1.1×	1.2k 0.4×	2.7k 1.1×	2.4k 1.1×	341	34.7k
Hans Lehrach Germany	98	28.0k 1.3×	6.8k 1.3×	1.3k 0.4×	1.6k 0.7×	3.6k 1.6×	580	38.9k
Uwe Sauer Switzerland	93	19.9k 1.0×	4.0k 0.8×	1.3k 0.5×	4.4k 1.8×	1.2k 0.5×	265	24.4k
Søren Brunak Denmark	83	35.2k 1.7×	5.5k 1.1×	2.2k 0.8×	1.7k 0.7×	7.8k 3.5×	350	55.8k
Susumu Goto Japan	47	31.5k 1.5×	4.3k 0.8×	1.2k 0.4×	1.6k 0.7×	5.9k 2.6×	143	47.1k
Edward M. Marcotte United States	71	18.8k 0.9×	3.2k 0.6×	1.9k 0.7×	827 0.3×	1.7k 0.8×	236	23.6k
Shigeyuki Yokoyama Japan	102	36.6k 1.8×	5.8k 1.1×	1.1k 0.4×	980 0.4×	2.5k 1.1×	1.0k	44.4k
Pieter C. Dorrestein United States	89	17.7k 0.8×	1.3k 0.3×	3.0k 1.1×	1.3k 0.5×	2.5k 1.1×	421	27.6k

Countries citing papers authored by Masaru Tomita

Since Specialization

Citations

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

Fields of papers citing papers by Masaru Tomita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Tomita

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

Nishio, Mizuho, et al.. (2022). Deep learning model for the automatic classification of COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy: a multi-center retrospective study. Scientific Reports. 12(1). 8214–8214. 23 indexed citations

Nakamura, Tomoyuki, Masaru Tomita, Naoki Horikawa, et al.. (2021). Functional connectivity between the amygdala and subgenual cingulate gyrus predicts the antidepressant effects of ketamine in patients with treatment‐resistant depression. Neuropsychopharmacology Reports. 41(2). 168–178. 23 indexed citations

Shibuya, Takazo, Yoshinori Takano, Kosuke Fujishima, et al.. (2019). Peptide Synthesis under the Alkaline Hydrothermal Conditions on Enceladus. ACS Earth and Space Chemistry. 3(11). 2559–2568. 26 indexed citations

Wakayama, Masataka, et al.. (2019). Metabolome profiling of various seaweed species discriminates between brown, red, and green algae. Planta. 249(6). 1921–1947. 50 indexed citations

Bożek, Katarzyna, Yuning Wei, Yan Zheng, et al.. (2015). Organization and Evolution of Brain Lipidome Revealed by Large-Scale Analysis of Human, Chimpanzee, Macaque, and Mouse Tissues. Neuron. 85(4). 695–702. 121 indexed citations

Imami, Koshi, Naoyuki Sugiyama, Masaki Wakabayashi, et al.. (2012). Temporal Profiling of Lapatinib-suppressed Phosphorylation Signals in EGFR/HER2 Pathways. Molecular & Cellular Proteomics. 11(12). 1741–1757. 38 indexed citations

Nakada, Takashi, Tomoyoshi Soga, & Masaru Tomita. (2010). Phylogenetic position of a rare loricated green alga, Cephalomonas granulata N. L. Higinb. (Volvocales, Chlorophyceae). Phycological Research. 58(1). 62–68. 11 indexed citations

Hirayama, Akiyoshi, Kenjiro Kami, Masahiro Sugimoto, et al.. (2009). Quantitative Metabolome Profiling of Colon and Stomach Cancer Microenvironment by Capillary Electrophoresis Time-of-Flight Mass Spectrometry. Cancer Research. 69(11). 4918–4925. 786 indexed citations breakdown →

Sugiyama, Naoyuki, Hirofumi Nakagami, Keiichi Mochida, et al.. (2008). Large‐scale phosphorylation mapping reveals the extent of tyrosine phosphorylation in Arabidopsis. Molecular Systems Biology. 4(1). 193–193. 314 indexed citations

10.

Yachie, Nozomu, Yoshiaki Ohashi, & Masaru Tomita. (2008). Stabilizing synthetic data in the DNA of living organisms. PubMed. 2(1-2). 19–25. 24 indexed citations

11.

Soma, Akiko, Junichi Sugahara, Akio Kanai, et al.. (2007). Permuted tRNA Genes Expressed via a Circular RNA Intermediate in Cyanidioschyzon merolae. Science. 318(5849). 450–453. 87 indexed citations

12.

Baba, Tomoya, Takeshi Ara, Miki Hasegawa, et al.. (2006). Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection. Molecular Systems Biology. 2(1). 2006.0008–2006.0008. 6172 indexed citations breakdown →

13.

Naito, Yasuhiro, et al.. (2002). Construction of a Simulation Model of Diabetes for Pathophysiological Analysis Using E-Cell System. Proceedings Genome Informatics Workshop/Genome informatics. 13. 478–479. 1 indexed citations

14.

Fujita, Hideki, Rika Kosaki, Hiroshi Yoshihashi, et al.. (2002). Characterization of the aryl hydrocarbon receptor repressor gene and association of its Pro185Ala polymorphism with micropenis. Teratology. 65(1). 10–18. 41 indexed citations

15.

Tomita, Masaru, et al.. (1999). ApA Dinucleotide Periodicity in Prokaryote, Eukaryote, and Organelle Genomes. Journal of Molecular Evolution. 49(2). 182–192. 24 indexed citations

16.

Tomita, Masaru, Kouichi Takahashi, Yuri Matsuzaki, et al.. (1998). E-CELL Project Overview:Towards Integrative Simulation of Cellular Processes. Proceedings Genome Informatics Workshop/Genome informatics. 9. 242–243. 2 indexed citations

17.

Saito, Yûsuke, Kouichi Takahashi, & Masaru Tomita. (1998). Multivariate Time Series Analysis of Metabolic Network Using the E-CELL Simulation System. Proceedings Genome Informatics Workshop/Genome informatics. 9. 252–253. 1 indexed citations

18.

Lavie, Alon & Masaru Tomita. (1996). GLR*: A Robust Grammar-Focused Parser For Spontaneously Spoken Language. Repository KITopen (Karlsruhe Institute of Technology). 27 indexed citations

19.

Tomita, Masaru, et al.. (1990). S PEECH T RANS : An Experimental Real-Time Speech-to-Speech Translation System. Seoul National University Open Repository (Seoul National University). 26(4). 663–672.

20.

Hara, Shuuji, et al.. (1987). [Changes in the cell cycle and RNA content of cultured cancer cells treated with actinomycin D].. PubMed. 14(5 Pt 1). 1332–7. 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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