Emi Kunitake
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Plant Science top 10%
- Enzyme-mediated dye degradation
- Polysaccharides and Plant Cell Walls
- Plant-Microbe Interactions and Immunity
Papers in
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- Fungal and yeast genetics research 14
- Microbial Metabolic Engineering and Bioproduction 3
-
- Biofuel production and bioconversion 15
- Co-authors
- Tetsuo Kobayashi (9 shared papers)Shuji Tani (7 shared papers)Takashi Kawaguchi (7 shared papers)Jun‐ichi Sumitani (6 shared papers)Tetsuya Kimura (9 shared papers)Kazuo Sakka (7 shared papers)Makiko Sakka (7 shared papers)Kyoko Kanamaru (6 shared papers)
In The Last Decade
Emi Kunitake
23 papers receiving 413 citations
Peers
Comparison fields: 5 of 48
- Biotechnology 147
- Plant Science 210
- Biomedical Engineering 211
- Pharmacology 68
- Molecular Biology 263
Countries citing papers authored by Emi Kunitake
This map shows the geographic impact of Emi Kunitake'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 Emi Kunitake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emi Kunitake more than expected).
Fields of papers citing papers by Emi Kunitake
This network shows the impact of papers produced by Emi Kunitake. 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 Emi Kunitake. The network helps show where Emi Kunitake may publish in the future.
Co-authors
The 25 scholars most cited alongside Emi Kunitake, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 60 | |
| 2 | 2017 | 42 | |
| 3 | 2012 | 42 | |
| 4 | 2018 | 29 | |
| 5 | 2019 | 28 | |
| 6 | 2011 | 24 | |
| 7 | 2016 | 23 | |
| 8 | 2018 | 18 | |
| 9 | 2013 | 18 | |
| 10 | 2014 | 17 | |
| 11 | 2016 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2016 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2017 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2020 | 7 |
About Emi Kunitake
Emi Kunitake is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Biotechnology and Pharmacology, having authored 25 papers that have together received 416 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (15 papers), Fungal and yeast genetics research (14 papers), Polysaccharides and Plant Cell Walls (7 papers), Enzyme Production and Characterization (5 papers), Enzyme-mediated dye degradation (4 papers), Fungal Biology and Applications (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Biotechnology (147 citations), Plant Science (210 citations), Biomedical Engineering (211 citations), Pharmacology (68 citations) and Molecular Biology (263 citations). Emi Kunitake has collaborated with scholars based in Japan and Thailand. Frequent co-authors include Tetsuo Kobayashi, Shuji Tani, Takashi Kawaguchi, Jun‐ichi Sumitani, Tetsuya Kimura, Kazuo Sakka, Makiko Sakka, Kyoko Kanamaru, Makoto Kimura and Lerluck Chitradon. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Enzyme and Microbial Technology, Applied Microbiology and Biotechnology, Current Genetics and Molecular Microbiology.
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.