Kaori Sakata
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism 9
- Molecular Biology top 10%
- Polyamine Metabolism and Applications 12
- Microbial metabolism and enzyme function 2
- Pharmacology top 10%
- Cannabis and Cannabinoid Research 2
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- Antimicrobial Peptides and Activities 3
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- Bacteriophages and microbial interactions 2
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- Neuroscience and Neuropharmacology Research 2
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- Bacterial Genetics and Biotechnology 2
- Co-authors
- Keiko KashiwagiKazuei IgarashiShahana SharminShiro UedaAkira ShirahataYoshimi KakinumaYasubumi IrieNoriyoshi Murotani
- Journals
- Journal of Biological Chemistry (1 paper)Biochemical Journal (4 papers)Geophysical Research Letters (1 paper)
- Partner nations
- JapanBrazilUnited States
In The Last Decade
Kaori Sakata
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Biochemistry 341
- Molecular Biology 756
- Pharmacology 171
- Endocrinology 29
- Clinical Biochemistry 33
Countries citing papers authored by Kaori Sakata
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
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
The 25 scholars most cited alongside Kaori Sakata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Analysis of Determining Factors in Motivating Follow-up Subjects to Undergo Further Examinations | 2014 | 1 |
| 2 | 2005 | 5 | |
| 3 | 2004 | 152 | |
| 4 | 2003 | 127 | |
| 5 | 2003 | 76 | |
| 6 | 2003 | 18 | |
| 7 | 2002 | 27 | |
| 8 | 2002 | 61 | |
| 9 | 2002 | 9 | |
| 10 | 2002 | 23 | |
| 11 | 2001 | 162 | |
| 12 | 2001 | 13 | |
| 13 | 2000 | 69 | |
| 14 | 2000 | 22 | |
| 15 | 1999 | 15 | |
| 16 | 1999 | 86 | |
| 17 | 1998 | 12 | |
| 18 | 1998 | 7 | |
| 19 | 1998 | 25 | |
| 20 | 1997 | 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), Antimicrobial Peptides and Activities (3 papers), Bacteriophages and microbial interactions (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Microbial metabolism and enzyme function (2 papers), Cannabis and Cannabinoid Research (2 papers) and Bacterial Genetics and Biotechnology (2 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.