Sayaka Kazami
Impact in
- Biotechnology top 10%
- Marine Sponges and Natural Products
Papers in
-
- ATP Synthase and ATPases Research 4
- Bioactive natural compounds 3
- Natural product bioactivities and synthesis 2
-
- Synthesis of Organic Compounds 2
- Co-authors
- Hiroyuki Osada (8 shared papers)Takeo Usui (9 shared papers)Makoto Muroi (5 shared papers)Makoto Kawatani (3 shared papers)Jun’ichi Kobayashi (3 shared papers)Takeshi Shimizu (1 shared paper)Nobumoto Watanabe (1 shared paper)Yushi Futamura (1 shared paper)
- Journals
- Bioscience Biotechnology and Biochemistry (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Mitochondrion (1 paper)Biological and Pharmaceutical Bulletin (1 paper)International Journal of Computational Intelligence and Applications (1 paper)
- Partner nations
- JapanSwitzerlandBrazil
In The Last Decade
Sayaka Kazami
13 papers receiving 319 citations
Peers
Comparison fields: 5 of 69
- Drug Discovery 1
- Biotechnology 49
- Biophysics 32
- Pharmacology 81
- Organic Chemistry 100
Countries citing papers authored by Sayaka Kazami
This map shows the geographic impact of Sayaka Kazami'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 Sayaka Kazami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayaka Kazami more than expected).
Fields of papers citing papers by Sayaka Kazami
This network shows the impact of papers produced by Sayaka Kazami. 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 Sayaka Kazami. The network helps show where Sayaka Kazami may publish in the future.
Co-authors
The 25 scholars most cited alongside Sayaka Kazami, 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 | 2012 | 68 | |
| 2 | 2010 | 67 | |
| 3 | 2004 | 61 | |
| 4 | 2006 | 38 | |
| 5 | 2007 | 30 | |
| 6 | 2016 | 14 | |
| 7 | 2010 | 13 | |
| 8 | 2018 | 12 | |
| 9 | 2014 | 8 | |
| 10 | 2011 | 5 | |
| 11 | 2007 | 3 | |
| 12 | 2009 | 1 | |
| 13 | 2010 | 1 |
About Sayaka Kazami
Sayaka Kazami is a scholar working on Molecular Biology, Pharmacology, Biophysics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 13 papers that have together received 321 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (4 papers), Cell Image Analysis Techniques (3 papers), Bioactive natural compounds (3 papers), Computational Drug Discovery Methods (2 papers), Natural product bioactivities and synthesis (2 papers), Metalloenzymes and iron-sulfur proteins (2 papers), Synthesis of Organic Compounds (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Biotechnology (49 citations), Biophysics (32 citations), Pharmacology (81 citations) and Organic Chemistry (100 citations). Sayaka Kazami has collaborated with scholars based in Japan, Switzerland and Brazil. Frequent co-authors include Hiroyuki Osada, Takeo Usui, Makoto Muroi, Makoto Kawatani, Jun’ichi Kobayashi, Takeshi Shimizu, Nobumoto Watanabe, Yushi Futamura, Koji Tomita and Kenichi Tanaka. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Bioorganic & Medicinal Chemistry Letters, Mitochondrion, Biological and Pharmaceutical Bulletin and International Journal of Computational Intelligence and Applications.
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.