Satoka Mita
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Fungal and yeast genetics research 3
- Heat shock proteins research 1
- Mitochondrial Function and Pathology 1
- Microbial Metabolic Engineering and Bioproduction 1
-
- Proteoglycans and glycosaminoglycans research 3
- Co-authors
- Koji Kimata (2 shared papers)Hokuto Ohtsuka (4 shared papers)Hirofumi Aiba (4 shared papers)Kaoru Kojima (1 shared paper)Keiichi Takagaki (1 shared paper)Masahiko Endo (1 shared paper)Yoshihiro Maruo (1 shared paper)Hiroshi Satō (1 shared paper)
- Journals
- Bioscience Biotechnology and Biochemistry (3 papers)Journal of Biological Chemistry (3 papers)FEMS Yeast Research (1 paper)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Satoka Mita
8 papers receiving 457 citations
Peers
Comparison fields: 5 of 66
- Aging 74
- Cell Biology 279
- Immunology and Allergy 36
- Molecular Biology 349
- Cancer Research 31
Countries citing papers authored by Satoka Mita
This map shows the geographic impact of Satoka Mita'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 Satoka Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoka Mita more than expected).
Fields of papers citing papers by Satoka Mita
This network shows the impact of papers produced by Satoka Mita. 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 Satoka Mita. The network helps show where Satoka Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoka Mita, 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 | 2004 | 228 | |
| 2 | 2000 | 91 | |
| 3 | 2008 | 35 | |
| 4 | 2000 | 29 | |
| 5 | 2009 | 28 | |
| 6 | 2007 | 19 | |
| 7 | 2009 | 17 | |
| 8 | 2005 | 12 |
About Satoka Mita
Satoka Mita is a scholar working on Molecular Biology, Cell Biology, Aging, Organic Chemistry and Immunology and Allergy, having authored 8 papers that have together received 459 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Fungal and yeast genetics research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Carbohydrate Chemistry and Synthesis (2 papers), Heat shock proteins research (1 paper), Mitochondrial Function and Pathology (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Aging (74 citations), Cell Biology (279 citations), Immunology and Allergy (36 citations), Molecular Biology (349 citations) and Cancer Research (31 citations). Satoka Mita has collaborated with scholars based in Japan and United States. Frequent co-authors include Koji Kimata, Hokuto Ohtsuka, Hirofumi Aiba, Kaoru Kojima, Keiichi Takagaki, Masahiko Endo, Yoshihiro Maruo, Hiroshi Satō, Naoki Itano and Reiji Kannagi. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Journal of Biological Chemistry, FEMS Yeast Research and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.