Kaori Sakata

1.2k citations
21 papers · 1.0k indexed · h-index 15
Topics
Polyamine Metabolism and Applications (12 papers)Amino Acid Enzymes and Metabolism (9 papers)Antimicrobial Peptides and Activities (3 papers)
Partner nations
JapanBrazilUnited States

In The Last Decade

Kaori Sakata

21 papers receiving 1.0k citations

Peers

Kaori Sakata
Comparison fields: 5 of 105
  • Molecular Biology 756
  • Biochemistry 341
  • Pharmacology 171
  • Genetics 89
  • Plant Science 65
Replace Mario Garcı́a de Lacoba with:
Mario Garcı́a de Lacoba Spain
Takashi Tanikawa Japan
Daren Stephens United States
Albena Momchilova Bulgaria
Venkatesh Kundumani‐Sridharan United States
David J. López Spain
Hiroyasu Tsutsuki Japan
Ben Van Houten United States
Carl C. Levy United States
Gérard Loison France
Kaori Sakata relative to Mario Garcı́a de Lacoba Spain Mario Garcı́a de Lacoba's profile →
Citations per field
00.5×5.3×
Mario Garcı́a de Lacoba · 1×
Citations per year

Countries citing papers authored by Kaori Sakata

Since Specialization
Citations

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

Fields of papers citing papers by Kaori Sakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaori Sakata

This figure shows the co-authorship network connecting the top 25 collaborators of Kaori Sakata. A scholar is included among the top collaborators of Kaori Sakata 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 Kaori Sakata. Kaori Sakata 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
Analysis of Determining Factors in Motivating Follow-up Subjects to Undergo Further Examinations
1
2 5
3 152
4 127
5 76
6 18
7 27
8 61
9 9
10 23
11 162
12 13
13 69
14 22
15 15
16 86
17 12
18 7
19 25
20 36

About Kaori Sakata

Kaori Sakata is a scholar working on Biochemistry, Microbiology and Molecular Biology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (12 papers), Amino Acid Enzymes and Metabolism (9 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Biochemistry (341 citations), Molecular Biology (756 citations) and Pharmacology (171 citations). Kaori Sakata has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include Keiko Kashiwagi, Kazuei Igarashi, Shahana Sharmin, Shiro Ueda, Akira Shirahata, Yoshimi Kakinuma, Yasubumi Irie, Noriyoshi Murotani, Hideyuki Tomitori and Tomomi Shimogori. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Geophysical Research Letters.

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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