K. Takeda

525 citations
35 papers · 413 · h-index 13

Impact in

Papers in

    • Microbial metabolism and enzyme function 10
    • Enzyme Catalysis and Immobilization 9
    • Microbial Metabolic Engineering and Bioproduction 5
    • Electrochemical sensors and biosensors 8
    • Thin-Film Transistor Technologies 8
    • Silicon and Solar Cell Technologies 5

K. Takeda

35 papers receiving 404 citations

Peers

K. Takeda
Comparison fields: 5 of 68
  • Electrochemistry 71
  • Biochemistry 41
  • Bioengineering 23
  • Molecular Biology 238
  • Electrical and Electronic Engineering 180
Replace Matuš Stredansky with:
Matuš Stredansky Italy
Xiangjiang Tang China
Konstanze Stiba Germany
Christiane Zaborosch Germany
Ankana Kakoti India
Jana Šefčovičová Slovakia
Jean Marc Laval France
Junko Okuda‐Shimazaki Japan
Nataliya Stasyuk Ukraine
C. Ratna Prabha India
K. Takeda relative to Matuš Stredansky Italy Matuš Stredansky's profile →
Citations per field
00.5×3.6×
Matuš Stredansky · 1×
Citations per year

Countries citing papers authored by K. Takeda

Since Specialization
Citations

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

Fields of papers citing papers by K. Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201461
2 201541
3 201328
4 202028
5 201824
6 201521
7 201921
8 201519
9 199218
10 201617
11 201713
12 202113
13 202012
14 201911
15 199311
16 201610
17 20159
18 20058
19 20007
20 20175

About K. Takeda

K. Takeda is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering and Environmental Engineering, having authored 35 papers that have together received 413 indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (10 papers), Enzyme Catalysis and Immobilization (9 papers), Electrochemical sensors and biosensors (8 papers), Thin-Film Transistor Technologies (8 papers), Silicon Nanostructures and Photoluminescence (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (5 papers) and Silicon and Solar Cell Technologies (5 papers). The work is most often cited by research in Electrochemistry (71 citations), Biochemistry (41 citations), Bioengineering (23 citations), Molecular Biology (238 citations) and Electrical and Electronic Engineering (180 citations). K. Takeda has collaborated with scholars based in Japan, France and Finland. Frequent co-authors include Nobuhumi Nakamura, Kiyohiko Igarashi, Hiroyuki Ohno, Makoto Yoshida, Masahiro Samejima, Hirotoshi Matsumura, Takuya Ishida, Takuya Ishida, Yutaka Kimura and Kiwamu Umezawa. Their work appears in journals such as Journal of Non-Crystalline Solids, PLoS ONE, Bioelectrochemistry, Solid State Communications and Journal of Bacteriology.

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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