Masashi Mita
Impact in
- Biochemistry top 0.1%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
Papers in
- Biochemistry 68
- Amino Acid Enzymes and Metabolism 68
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- Metabolism and Genetic Disorders 46
- Co-authors
- Kenji Hamase (71 shared papers)Yurika Miyoshi (22 shared papers)Ryuichi Konno (11 shared papers)Jumpei Sasabe (15 shared papers)Takeyuki Akita (29 shared papers)Wolfgang F. Lindner (12 shared papers)Tomonori Kimura (14 shared papers)Kiyoshi Zaitsu (6 shared papers)
In The Last Decade
Masashi Mita
77 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 102
- Biochemistry 1.5k
- Clinical Biochemistry 719
- Biological Psychiatry 119
- Spectroscopy 715
- Molecular Biology 1.0k
Countries citing papers authored by Masashi Mita
This map shows the geographic impact of Masashi 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 Masashi Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Mita more than expected).
Fields of papers citing papers by Masashi Mita
This network shows the impact of papers produced by Masashi 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 Masashi Mita. The network helps show where Masashi Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Masashi 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
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 193 | |
| 2 | 2011 | 185 | |
| 3 | 2016 | 179 | |
| 4 | 2009 | 134 | |
| 5 | 2009 | 121 | |
| 6 | 2019 | 87 | |
| 7 | 2018 | 74 | |
| 8 | 2019 | 68 | |
| 9 | 2015 | 68 | |
| 10 | 2011 | 66 | |
| 11 | 2014 | 66 | |
| 12 | 2014 | 58 | |
| 13 | 2021 | 56 | |
| 14 | 2015 | 44 | |
| 15 | 2008 | 43 | |
| 16 | 2012 | 43 | |
| 17 | 2013 | 42 | |
| 18 | 2017 | 34 | |
| 19 | 2012 | 34 | |
| 20 | 2016 | 31 |
About Masashi Mita
Masashi Mita is a scholar working on Biochemistry, Clinical Biochemistry, Spectroscopy, Cellular and Molecular Neuroscience and Molecular Biology, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (68 papers), Metabolism and Genetic Disorders (46 papers), Epigenetics and DNA Methylation (19 papers), Neuroscience and Neuropharmacology Research (13 papers), Diet and metabolism studies (13 papers), Molecular Sensors and Ion Detection (12 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Biochemistry (1.5k citations), Clinical Biochemistry (719 citations), Biological Psychiatry (119 citations), Spectroscopy (715 citations) and Molecular Biology (1.0k citations). Masashi Mita has collaborated with scholars based in Japan, Austria and Taiwan. Frequent co-authors include Kenji Hamase, Yurika Miyoshi, Ryuichi Konno, Jumpei Sasabe, Takeyuki Akita, Wolfgang F. Lindner, Tomonori Kimura, Kiyoshi Zaitsu, Masataka Suzuki and Yosuke Tojo. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Chromatography A, Journal of Chromatography B, Scientific Reports and Amino Acids.
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.