Keiko Kubota

1.5k citations
36 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Enzyme Structure and Function (11 papers)Peptidase Inhibition and Analysis (6 papers)Amino Acid Enzymes and Metabolism (5 papers)

In The Last Decade

Keiko Kubota

36 papers receiving 1.2k citations

Hit Papers

Structural basis of abscisic acid signalling20092026201420202009100200300400

Peers

Keiko Kubota
Comparison fields: 5 of 94
  • Molecular Biology 695
  • Plant Science 456
  • Oncology 153
  • Immunology 105
  • Materials Chemistry 98
Replace E.M. Quistgaard with:
E.M. Quistgaard Sweden
Odile Mulner‐Lorillon France
Robert Bellé France
Tobias Wagner Germany
John D. Windass United Kingdom
Motomu Akita Japan
Rosa Farrás Spain
Chiharu Hitomi United States
Keiko Kubota relative to E.M. Quistgaard Sweden E.M. Quistgaard's profile →
Citations per field
00.5×1.6×
E.M. Quistgaard · 1×
Citations per year

Countries citing papers authored by Keiko Kubota

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Kubota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Kubota

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Kubota. A scholar is included among the top collaborators of Keiko Kubota 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 Keiko Kubota. Keiko Kubota 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 8
2 14
3 114
4 23
5 6
6 7
7 18
8 14
9 11
10
Structural basis of abscisic acid signallingbreakdown →
447
11 11
12 2
13 4
14 2
15 32
16 28
17
Dimethyl sulfoxide-respiring bacteria in Suribati Ike, a hypersaline lake, in Antarctica and the marine environment
12
18 47
19 11
20 111

About Keiko Kubota

Keiko Kubota is a scholar working on Biochemistry, Biotechnology and Physiology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (11 papers), Peptidase Inhibition and Analysis (6 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Physiology (60 citations), Plant Science (456 citations) and Molecular Biology (695 citations). Keiko Kubota has collaborated with scholars based in Japan, United Kingdom and Sri Lanka. Frequent co-authors include Masaru Tanokura, Ken‐ichi Miyazono, Yoriko Sawano, Hee‐Jin Kang, Kazuko Yamaguchi‐Shinozaki, Yasunari Fujita, Takuya Yoshida, Mihoko Takahashi, Takuya Miyakawa and Yumiko Miyauchi. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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