Daisuke Kiga

1.7k citations
40 papers · 928 · h-index 13

Impact in

    • Advanced biosensing and bioanalysis techniques
    • DNA and Biological Computing
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • Gene Regulatory Network Analysis
    • CRISPR and Genetic Engineering
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 14
    • Gene Regulatory Network Analysis 13
    • Advanced biosensing and bioanalysis techniques 11
    • CRISPR and Genetic Engineering 5
    • DNA and Biological Computing 5
    • RNA modifications and cancer 5
    • Microbial Metabolic Engineering and Bioproduction 4

Daisuke Kiga

39 papers receiving 894 citations

Peers

Daisuke Kiga
Comparison fields: 5 of 83
  • Molecular Biology 859
  • Genetics 110
  • Mechanical Engineering 141
  • Computational Theory and Mathematics 51
  • Biophysics 13
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Daisuke Kiga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Kiga Line = papers co-authored together Daisuke Kiga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000234
2 2002134
3 200675
4 199864
5 199960
6 202045
7 200836
8
Towards parallel evaluation and learning of Boolean $\mu$-formulas with molecules.
199734
9 201125
10 200624
11 201124
12 201017
13 201216
14 201912
15 201212
16 201812
17 200511
18 200110
19 20179
20 20138

About Daisuke Kiga

Daisuke Kiga is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Radiology, Nuclear Medicine and Imaging and Mechanical Engineering, having authored 40 papers that have together received 928 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (14 papers), Gene Regulatory Network Analysis (13 papers), Advanced biosensing and bioanalysis techniques (11 papers), Bacterial Genetics and Biotechnology (5 papers), CRISPR and Genetic Engineering (5 papers), DNA and Biological Computing (5 papers), RNA modifications and cancer (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Molecular Biology (859 citations), Genetics (110 citations), Mechanical Engineering (141 citations), Computational Theory and Mathematics (51 citations) and Biophysics (13 citations). Daisuke Kiga has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Shigeyuki Yokoyama, Kensaku Sakamoto, Masami Hagiya, Ken Komiya, Takashi Yokomori, Masahiro Takinoue, T. Kigawa, Masayuki Yamamura, Ichiro Hirao and Mikako Shirouzu. Their work appears in journals such as ACS Synthetic Biology, Chemical Communications, Proceedings of the National Academy of Sciences, Nucleic Acids Research and BMC Systems Biology.

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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