Naoki Takaya

5.2k citations
156 papers · 4.2k indexed · h-index 40
Topics
Microbial Metabolic Engineering and Bioproduction (29 papers)Fungal and yeast genetics research (28 papers)Microbial Community Ecology and Physiology (20 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

Naoki Takaya

150 papers receiving 4.1k citations

Peers

Naoki Takaya
Comparison fields: 5 of 136
  • Molecular Biology 2.2k
  • Plant Science 876
  • Ecology 711
  • Pollution 652
  • Biomedical Engineering 457
Replace Carla C. C. R. de Carvalho with:
Carla C. C. R. de Carvalho Portugal
B. Poolman Netherlands
Karel Sigler Czechia
Eduardo Dı́az Spain
Susanne Fetzner Germany
Masataka Tsuda Japan
Patrik R. Jones United States
Zhong Hu China
Ana Segura Spain
Hideaki Nojiri Japan
Naoki Takaya relative to Carla C. C. R. de Carvalho Portugal Carla C. C. R. de Carvalho's profile →
Citations per field
00.5×1.5×1.8×
Carla C. C. R. de Carvalho · 1×
Citations per year

Countries citing papers authored by Naoki Takaya

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Takaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Takaya

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Takaya. A scholar is included among the top collaborators of Naoki Takaya 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 Naoki Takaya. Naoki Takaya 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 3
2 2
3 3
4 1
5 29
6 21
7 9
8 2
9 35
10 6
11 43
12
A study on routing method for IP/OpenFlow hybrid network
0
13 11
14 33
15 18
16 103
17
A Large-Capacity Service Control Node Architecture Using Multicasting Access to Decentralized Databases in the Advanced Intelligent Network
4
18 113
19 96
20 10

About Naoki Takaya

Naoki Takaya is a scholar working on Biochemistry, Pharmacology and Pollution, having authored 156 papers that have together received 4.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (29 papers), Fungal and yeast genetics research (28 papers) and Microbial Community Ecology and Physiology (20 papers). The work is most often cited by research in Pollution (652 citations), Biotechnology (356 citations) and Molecular Biology (2.2k citations). Naoki Takaya has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Hirofumi Shoun, Motoyuki Shimizu, Shunsuke Masuo, Zhemin Zhou, Akira Nakamura, Hiroyuki Horiuchi, Akinori Ohta, Tatsuya Fujii, Takayuki Hoshino and Masamichi Takagi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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