Chikara Furusawa

7.5k total citations
162 papers, 5.2k citations indexed

About

Chikara Furusawa is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Chikara Furusawa has authored 162 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Molecular Biology, 61 papers in Genetics and 26 papers in Biomedical Engineering. Recurrent topics in Chikara Furusawa's work include Microbial Metabolic Engineering and Bioproduction (51 papers), Evolution and Genetic Dynamics (46 papers) and Gene Regulatory Network Analysis (44 papers). Chikara Furusawa is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (51 papers), Evolution and Genetic Dynamics (46 papers) and Gene Regulatory Network Analysis (44 papers). Chikara Furusawa collaborates with scholars based in Japan, United States and France. Chikara Furusawa's co-authors include Kunihiko Kaneko, Hiroshi Shimizu, Takashi Hirasawa, Takaaki Horinouchi, Katsunori Yoshikawa, Keisuke Nagahisa, Shingo Suzuki, Tetsuya Yomo, Naoaki Ono and Tomoya Maeda and has published in prestigious journals such as Science, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Chikara Furusawa

148 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chikara Furusawa Japan 40 4.1k 1.0k 1.0k 397 267 162 5.2k
Matthias Heinemann Netherlands 45 5.0k 1.2× 1.1k 1.1× 1.3k 1.3× 229 0.6× 248 0.9× 102 6.5k
Jason A. Papin United States 47 5.9k 1.5× 1.6k 1.6× 581 0.6× 147 0.4× 201 0.8× 141 7.2k
Jacky L. Snoep Netherlands 36 4.5k 1.1× 763 0.8× 574 0.6× 431 1.1× 214 0.8× 155 5.7k
Ting Lu United States 33 2.3k 0.6× 656 0.6× 574 0.6× 311 0.8× 190 0.7× 121 3.9k
Wolfram Liebermeister Germany 30 4.4k 1.1× 684 0.7× 752 0.7× 66 0.2× 217 0.8× 59 5.3k
Ahmad S. Khalil United States 33 3.9k 1.0× 864 0.9× 983 1.0× 151 0.4× 288 1.1× 67 5.6k
Jennifer L. Reed United States 47 8.7k 2.2× 2.6k 2.6× 830 0.8× 175 0.4× 252 0.9× 97 10.9k
Ying Xu United States 45 6.1k 1.5× 762 0.8× 815 0.8× 384 1.0× 1.1k 4.0× 263 8.5k
Jeff Hasty United States 50 8.8k 2.2× 2.5k 2.5× 2.3k 2.3× 169 0.4× 625 2.3× 130 11.5k
Yoav Peleg Israel 32 2.2k 0.5× 497 0.5× 378 0.4× 118 0.3× 406 1.5× 105 3.5k

Countries citing papers authored by Chikara Furusawa

Since Specialization
Citations

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

Fields of papers citing papers by Chikara Furusawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chikara Furusawa

This figure shows the co-authorship network connecting the top 25 collaborators of Chikara Furusawa. A scholar is included among the top collaborators of Chikara Furusawa 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 Chikara Furusawa. Chikara Furusawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Tsuru, Saburo, et al.. (2025). Laboratory evolution of the bacterial genome structure through insertion sequence activation. Nucleic Acids Research. 53(9).
3.
Kono, Keiko, et al.. (2025). Discovery and identification of a novel yeast species, Hanseniaspora drosophilae sp. nov., from Drosophila in Okinawa, Japan. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 75(2).
4.
Tsuru, Saburo & Chikara Furusawa. (2025). Genetic properties underlying transcriptional variability across different perturbations. Nature Communications. 16(1). 2421–2421.
5.
Sato, Shumpei, et al.. (2025). Complete genome sequence of a bacterial strain, Kurthia intestinigallinarum. Microbiology Resource Announcements. 14(6). e0000825–e0000825.
6.
Tsuru, Saburo, et al.. (2024). Promoters Constrain Evolution of Expression Levels of Essential Genes in Escherichia coli. Molecular Biology and Evolution. 41(9). 1 indexed citations
7.
Takahashi, Hiromi, et al.. (2023). Inference of transcriptome signatures of Escherichia coli in long-term stationary phase. Scientific Reports. 13(1). 5647–5647. 4 indexed citations
8.
Saito, Nen, et al.. (2023). Rare-event sampling analysis uncovers the fitness landscape of the genetic code. PLoS Computational Biology. 19(4). e1011034–e1011034. 3 indexed citations
9.
Tsuru, Saburo, et al.. (2022). Experimental demonstration of operon formation catalyzed by insertion sequence. Nucleic Acids Research. 50(3). 1673–1686. 11 indexed citations
10.
Kotani, Hazuki, et al.. (2022). Purifying selection enduringly acts on the sequence evolution of highly expressed proteins in Escherichia coli. G3 Genes Genomes Genetics. 12(11). 3 indexed citations
11.
12.
Maeda, Tomoya, et al.. (2021). Laboratory evolution of Mycobacterium on agar plates for analysis of resistance acquisition and drug sensitivity profiles. Scientific Reports. 11(1). 15136–15136. 15 indexed citations
13.
Matsumoto, Hirotaka, Hisanori Kiryu, Chikara Furusawa, et al.. (2017). SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation. Bioinformatics. 33(15). 2314–2321. 277 indexed citations
14.
Matsuda, Fumio, et al.. (2015). 13C-based metabolic flux analysis of Saccharomyces cerevisiae with a reduced Crabtree effect. Journal of Bioscience and Bioengineering. 120(2). 140–144. 18 indexed citations
15.
Horinouchi, Takaaki, et al.. (2014). Development of an Automated Culture System for Laboratory Evolution. SLAS TECHNOLOGY. 19(5). 478–482. 33 indexed citations
16.
Furusawa, Chikara, et al.. (2014). OpenMebius: An Open Source Software for Isotopically Nonstationary13C-Based Metabolic Flux Analysis. BioMed Research International. 2014. 1–10. 83 indexed citations
17.
Matsuda, Fumio, Chikara Furusawa, Takashi Kondo, et al.. (2011). Engineering strategy of yeast metabolism for higher alcohol production. Microbial Cell Factories. 10(1). 70–70. 38 indexed citations
18.
Hirasawa, Takashi, et al.. (2008). Effect of odhA overexpression and odhA antisense RNA expression on Tween-40-triggered glutamate production by Corynebacterium glutamicum. Applied Microbiology and Biotechnology. 81(6). 1097–1106. 45 indexed citations
19.
Yamada, Tadashi, Chikara Furusawa, Keisuke Nagahisa, et al.. (2007). Analysis of fluctuation in protein abundance without promoter regulation based on Escherichia coli continuous culture. Biosystems. 90(3). 614–622. 5 indexed citations
20.
Tada, Shinsuke, Takumi Era, Chikara Furusawa, et al.. (2005). Characterization of mesendoderm: a diverging point of the definitive endoderm and mesoderm in embryonic stem cell differentiation culture. Development. 132(19). 4363–4374. 372 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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Breakdown of academic impact, for papers by Matthias Heinemann Breakdown of academic impact, for papers by Jason A. Papin Breakdown of academic impact, for papers by Jacky L. Snoep Breakdown of academic impact, for papers by Ting Lu Breakdown of academic impact, for papers by Wolfram Liebermeister Breakdown of academic impact, for papers by Ahmad S. Khalil Breakdown of academic impact, for papers by Jennifer L. Reed Breakdown of academic impact, for papers by Ying Xu Breakdown of academic impact, for papers by Jeff Hasty Breakdown of academic impact, for papers by Yoav Peleg
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