Daisuke Kiga

1.7k total citations
40 papers, 928 citations indexed

About

Daisuke Kiga is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Daisuke Kiga has authored 40 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Genetics. Recurrent topics in Daisuke Kiga's work include RNA and protein synthesis mechanisms (14 papers), Gene Regulatory Network Analysis (13 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Daisuke Kiga is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), Gene Regulatory Network Analysis (13 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Daisuke Kiga collaborates with scholars based in Japan, Denmark and United Kingdom. Daisuke Kiga's co-authors include Shigeyuki Yokoyama, Kensaku Sakamoto, Masami Hagiya, Ken Komiya, Takashi Yokomori, Masahiro Takinoue, Masayuki Yamamura, T. Kigawa, Ichiro Hirao and Mikako Shirouzu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Daisuke Kiga

39 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daisuke Kiga Japan	13	859	141	110	99	51	40	928
Piro Siuti United States	12	547 0.6×	23 0.2×	88 0.8×	150 1.5×	10 0.2×	18	706
Filippo Caschera United States	18	980 1.1×	28 0.2×	176 1.6×	199 2.0×	7 0.1×	24	1.2k
Nilesh B. Karalkar United States	8	571 0.7×	14 0.1×	44 0.4×	61 0.6×	9 0.2×	13	647
Hannah Gelman United States	12	560 0.7×	15 0.1×	110 1.0×	66 0.7×	13 0.3×	16	775
Samuel DeLuca United States	6	458 0.5×	15 0.1×	28 0.3×	32 0.3×	76 1.5×	8	632
Saurja DasGupta United States	9	610 0.7×	10 0.1×	63 0.6×	63 0.6×	11 0.2×	18	681
Norma H. Pawley United States	9	252 0.3×	44 0.3×	11 0.1×	66 0.7×	13 0.3×	19	448
Arménio Jorge Moura Barbosa Portugal	12	369 0.4×	18 0.1×	22 0.2×	113 1.1×	125 2.5×	27	659
Hiroshi Nakano Japan	16	456 0.5×	9 0.1×	49 0.4×	60 0.6×	111 2.2×	45	904
Brandon M. Hespenheide United States	9	536 0.6×	10 0.1×	26 0.2×	31 0.3×	64 1.3×	10	688

Countries citing papers authored by Daisuke Kiga

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Kiga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Kiga

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

Ohtake, Kazumasa, et al.. (2024). Correlation Between In Vitro and In Vivo Gene-Expression Strengths is Dependent on Bottleneck Process. New Generation Computing. 42(2). 271–281. 1 indexed citations

Beal, Jacob, Ángel Goñi‐Moreno, Chris J. Myers, et al.. (2020). The long journey towards standards for engineering biosystems. EMBO Reports. 21(5). e50521–e50521. 45 indexed citations

Miyatake, Hideyuki, Avanashiappan Nandakumar, Motoki Ueda, et al.. (2019). Enhancement of Binding Affinity of Folate to Its Receptor by Peptide Conjugation. International Journal of Molecular Sciences. 20(9). 2152–2152. 12 indexed citations

Miyatake, Hideyuki, et al.. (2018). Escherichia coli expression, purification, and refolding of human folate receptor α (hFRα) and β (hFRβ). Protein Expression and Purification. 149. 17–22. 4 indexed citations

Froese, Tom, et al.. (2018). Horizontal transfer of code fragments between protocells can explain the origins of the genetic code without vertical descent. Scientific Reports. 8(1). 3532–3532. 12 indexed citations

Kiga, Daisuke, et al.. (2017). Constraint-based perturbation analysis with cluster Newton method: a case study of personalized parameter estimations with irinotecan whole-body physiologically based pharmacokinetic model. BMC Systems Biology. 11(S7). 129–129. 9 indexed citations

Kiga, Daisuke, et al.. (2016). A Bacterial Continuous Culture System Based on a Microfluidic Droplet Open Reactor. Analytical Sciences. 32(1). 61–66. 5 indexed citations

Amikura, Kazuaki, et al.. (2014). Experimental Evolution of a Green Fluorescent Protein Composed of 19 Unique Amino Acids without Tryptophan. Origins of Life and Evolution of Biospheres. 44(2). 75–86. 1 indexed citations

Tada, Seiichi, Wei Wang, Masuki Kawamoto, et al.. (2014). In vitro selection of a photoresponsive peptide aptamer to glutathione-immobilized microbeads. Journal of Bioscience and Bioengineering. 119(2). 137–139. 5 indexed citations

10.

Kiga, Daisuke, et al.. (2013). Cultivation of Synthetic Biology with the iGEM Competition. Journal of Advanced Computational Intelligence and Intelligent Informatics. 17(2). 161–166. 2 indexed citations

11.

Sakai, Yoko, et al.. (2012). An aptazyme-based molecular device that converts a small-molecule input into an RNA output. Chemical Communications. 48(61). 7556–7556. 12 indexed citations

12.

Masuda, Akiko, Yuhei Araiso, Yoko Sakai, et al.. (2012). Simplification of the genetic code: restricted diversity of genetically encoded amino acids. Nucleic Acids Research. 40(20). 10576–10584. 16 indexed citations

13.

Kobayashi, Akio, Shogo Hamada, Masahiko Uchiyama, et al.. (2010). Construction of a genetic AND gate under a new standard for assembly of genetic parts. BMC Genomics. 11(S4). S16–S16. 17 indexed citations

14.

Kita, Hajime, et al.. (2008). Project-Based Learning of Computer Programming Using an Artificial Market System. EdMedia: World Conference on Educational Media and Technology. 2008(1). 4545–4553. 1 indexed citations

15.

Takinoue, Masahiro, et al.. (2008). Experiments and simulation models of a basic computation element of an autonomous molecular computing system. Physical Review E. 78(4). 41921–41921. 36 indexed citations

16.

Komiya, Ken, Kensaku Sakamoto, Atsushi Kameda, et al.. (2005). DNA polymerase programmed with a hairpin DNA incorporates a multiple-instruction architecture into molecular computing. Biosystems. 83(1). 18–25. 11 indexed citations

17.

Kiga, Daisuke, Kensaku Sakamoto, Saori Sato, Ichiro Hirao, & Shigeyuki Yokoyama. (2001). Shifted positioning of the anticodon nucleotide residues of amber suppressor tRNA species by Escherichia coli arginyl‐tRNA synthetase. European Journal of Biochemistry. 268(23). 6207–6213. 10 indexed citations

18.

Sakamoto, Kensaku, Daisuke Kiga, Ken Komiya, et al.. (1999). State transitions by molecules. Biosystems. 52(1-3). 81–91. 60 indexed citations

19.

Kiga, Daisuke, et al.. (1998). An RNA aptamer to the xanthine/guanine base with a distinctive mode of purine recognition. Nucleic Acids Research. 26(7). 1755–1760. 64 indexed citations

20.

Hagiya, Masami, Masanori Arita, Daisuke Kiga, Kensaku Sakamoto, & Shigeyuki Yokoyama. (1997). Towards parallel evaluation and learning of Boolean $\mu$-formulas with molecules.. 57–72. 34 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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