Ibuki Kawamata

966 citations
39 papers · 647 indexed · h-index 12
Topics
Advanced biosensing and bioanalysis techniques (34 papers)RNA Interference and Gene Delivery (18 papers)Bacteriophages and microbial interactions (12 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Ibuki Kawamata

37 papers receiving 638 citations

Peers

Ibuki Kawamata
Comparison fields: 5 of 54
  • Molecular Biology 494
  • Biomedical Engineering 210
  • Biomaterials 87
  • Ecology 83
  • Mechanical Engineering 74
Replace Maaruthy Yelleswarapu with:
Maaruthy Yelleswarapu Netherlands
Ravinash Krishna Kumar United Kingdom
Marian Weiss Germany
Haorong Chen United States
James W. Hindley United Kingdom
Bas J. H. M. Rosier Netherlands
Alex Joesaar Netherlands
Anna E. C. Meijering Netherlands
Thomas Heitkamp Germany
Laura Heinen Germany
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Citations per field
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Maaruthy Yelleswarapu · 1×
Citations per year

Countries citing papers authored by Ibuki Kawamata

Since Specialization
Citations

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

Fields of papers citing papers by Ibuki Kawamata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibuki Kawamata

This figure shows the co-authorship network connecting the top 25 collaborators of Ibuki Kawamata. A scholar is included among the top collaborators of Ibuki Kawamata 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 Ibuki Kawamata. Ibuki Kawamata 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
#WorkIndexed citations
1 0
2 5
3 12
4 1
5 4
6 7
7 11
8 28
9 38
10 4
11 21
12 15
13 8
14 24
15 128
16 7
17
Universal totalistic asynchonous cellular automaton and its possible implementation by DNA
1
18
Discrete DNA reaction-diffusion model for implementing simple cellular automaton
2
19 4
20
Abstraction of DNA Graph Structures for Efficient Enumeration and Simulation
3

About Ibuki Kawamata

Ibuki Kawamata is a scholar working on Molecular Biology, Ecology and Computational Theory and Mathematics, having authored 39 papers that have together received 647 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (34 papers), RNA Interference and Gene Delivery (18 papers) and Bacteriophages and microbial interactions (12 papers). The work is most often cited by research in Molecular Biology (494 citations), Biomaterials (87 citations) and Condensed Matter Physics (70 citations). Ibuki Kawamata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Satoshi Murata, Shin‐ichiro M. Nomura, Yusuke Sato, Y. Hiratsuka, Yuki Suzuki, Yoshihiro Murayama, Miho Yanagisawa, Katsuhiko Ariga, Masamune Morita and Waka Nakanishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

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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