Emi Kunitake
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
-
- Fungal and yeast genetics research
- Enzyme Catalysis and Immobilization
Papers in
-
- Enzyme Production and Characterization 6
-
- Fungal and yeast genetics research 16
- Genomics and Chromatin Dynamics 1
- CRISPR and Genetic Engineering 1
- 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)Makiko Sakka (7 shared papers)Kazuo Sakka (7 shared papers)Makoto Kimura (6 shared papers)
In The Last Decade
Emi Kunitake
24 papers receiving 462 citations
Peers
Comparison fields: 5 of 34
- Biotechnology 109
- Molecular Biology 264
- Biomedical Engineering 135
- Plant Science 109
- Pollution 26
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 | 73 | |
| 2 | 2012 | 47 | |
| 3 | 2017 | 45 | |
| 4 | 2018 | 31 | |
| 5 | 2019 | 31 | |
| 6 | 2011 | 25 | |
| 7 | 2016 | 24 | |
| 8 | 2013 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2014 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Emi Kunitake
Emi Kunitake is a scholar working on Biotechnology, Molecular Biology, Biomedical Engineering, Plant Science and Genetics, having authored 25 papers that have together received 468 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (16 papers), Biofuel production and bioconversion (8 papers), Enzyme Production and Characterization (6 papers), Polysaccharides and Plant Cell Walls (4 papers), Enzyme-mediated dye degradation (2 papers), Genomics and Chromatin Dynamics (1 paper), Bacterial Genetics and Biotechnology (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Biotechnology (109 citations), Molecular Biology (264 citations), Biomedical Engineering (135 citations), Plant Science (109 citations) and Pollution (26 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, Makiko Sakka, Kazuo Sakka, Makoto Kimura, Kyoko Kanamaru and Lerluck Chitradon. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Enzyme and Microbial Technology, Current Genetics, Applied Microbiology and Biotechnology and Journal of Basic 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.