Yuka Takeuchi

1.6k citations
53 papers · 1.1k · h-index 16

Impact in

    • Transgenic Plants and Applications
    • Enzyme Production and Characterization
    • Cellular transport and secretion

Papers in

Yuka Takeuchi

45 papers receiving 1.1k citations

Peers

Yuka Takeuchi
Comparison fields: 5 of 99
  • Biotechnology 194
  • Cell Biology 220
  • Plant Science 444
  • Molecular Biology 700
  • Biochemistry 68
Replace Jingya Zhao with:
Jingya Zhao China
Anja Rabijns Belgium
Tong Gao China
Noshi Minamiura Japan
Shachi Vyas India
Jae Hyuk Yoo South Korea
Ying Wei China
Ashley Davis United States
Sanyuan Tang China
Yuka Takeuchi relative to Jingya Zhao China Jingya Zhao's profile →
Citations per field
00.5×2.9×
Jingya Zhao · 1×
Citations per year

Countries citing papers authored by Yuka Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuka Takeuchi, 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 Yuka Takeuchi Line = papers co-authored together Yuka Takeuchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998250
2 1993134
3 1993123
4 199385
5 199674
6 199470
7 199348
8 199539
9 199528
10 199524
11 200424
12 200021
13 199320
14 200520
15 199518
16 200116
17 199814
18 201714
19 201614
20 201813

About Yuka Takeuchi

Yuka Takeuchi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology, Organic Chemistry and Cell Biology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wireless Communication Networks Research (16 papers), Advanced Wireless Communication Techniques (10 papers), Advanced Wireless Network Optimization (8 papers), Advanced MIMO Systems Optimization (5 papers), Power Line Communications and Noise (4 papers), Chemical Synthesis and Analysis (3 papers), Magnetic and Electromagnetic Effects (3 papers) and Synthesis and Catalytic Reactions (3 papers). The work is most often cited by research in Biotechnology (194 citations), Cell Biology (220 citations), Plant Science (444 citations), Molecular Biology (700 citations) and Biochemistry (68 citations). Yuka Takeuchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Mikio Nishimura, Ikuko Hara‐Nishimura, Tomoo Shimada, Kyoko Hatano, Kaori Inoue, Luigi De Bellis, Makoto Hayashi, Akira Kato, Masayoshi Maeshima and Nagako Hiraiwa. Their work appears in journals such as The Plant Cell, Plant and Cell Physiology, Plant Molecular Biology, The Plant Journal and Cancer.

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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