Kaoru Takegawa

7.5k citations
254 papers · 6.1k indexed · 1 hit paper · h-index 38
Topics
Fungal and yeast genetics research (108 papers)Enzyme Production and Characterization (76 papers)Biofuel production and bioconversion (56 papers)

In The Last Decade

Kaoru Takegawa

250 papers receiving 6.0k citations

Hit Papers

Phosphatidylinositol 3-Kinase Encoded by Yeast VPS 34 Gen...19932026200420151993250500750

Peers

Kaoru Takegawa
Comparison fields: 5 of 121
  • Molecular Biology 4.8k
  • Cell Biology 1.8k
  • Plant Science 1.1k
  • Biotechnology 935
  • Organic Chemistry 935
Replace Yoshifumi Jigami with:
Yoshifumi Jigami Japan
Armando J. Parodi Argentina
Annetté Herscovics Canada
Ludwig Lehle Germany
Chris A. Kaiser United States
Anthony L. Tarentino United States
Thomas H. Plummer United States
Akira Matsuura Japan
Robert B. Trimble United States
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Kaoru Takegawa relative to Yoshifumi Jigami Japan Yoshifumi Jigami's profile →
Citations per field
00.5×1.5×
Yoshifumi Jigami · 1×
Citations per year

Countries citing papers authored by Kaoru Takegawa

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Takegawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Takegawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Takegawa. A scholar is included among the top collaborators of Kaoru Takegawa 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 Kaoru Takegawa. Kaoru Takegawa 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 2
2 1
3 1
4 1
5 5
6 2
7 2
8 15
9 7
10 13
11 13
12 9
13 2
14 152
15 18
16 3
17 20
18 8
19 15
20 116

About Kaoru Takegawa

Kaoru Takegawa is a scholar working on Biotechnology, Cell Biology and Molecular Biology, having authored 254 papers that have together received 6.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (108 papers), Enzyme Production and Characterization (76 papers) and Biofuel production and bioconversion (56 papers). The work is most often cited by research in Cell Biology (1.8k citations), Biotechnology (935 citations) and Molecular Biology (4.8k citations). Kaoru Takegawa has collaborated with scholars based in Japan, Belgium and United States. Frequent co-authors include Scott D. Emr, Jeffrey H. Stack, Naotaka Tanaka, Hideki Tohda, Peter Schu, Michael D. Waterfield, Michael Fry, Shojiro Iwahara, Yuko Giga‐Hama and Tomoko Iwaki. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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