Koshi Imami
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Extracellular vesicles in disease
Papers in
- Spectroscopy 16
- Advanced Proteomics Techniques and Applications 15
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- RNA and protein synthesis mechanisms 11
- Extracellular vesicles in disease 7
- RNA Research and Splicing 5
- Co-authors
- Yasushi Ishihama (31 shared papers)Naoyuki Sugiyama (6 shared papers)Matthias Selbach (9 shared papers)Masaru Tomita (5 shared papers)Yutaka Kyono (3 shared papers)Shigeru Terabe (4 shared papers)Tomoharu Yasuda (3 shared papers)Maria Rowena N. Monton (3 shared papers)
In The Last Decade
Koshi Imami
60 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Spectroscopy 280
- Molecular Biology 771
- Endocrinology 44
- Immunology 188
- Cell Biology 118
Countries citing papers authored by Koshi Imami
This map shows the geographic impact of Koshi Imami'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 Koshi Imami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koshi Imami more than expected).
Fields of papers citing papers by Koshi Imami
This network shows the impact of papers produced by Koshi Imami. 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 Koshi Imami. The network helps show where Koshi Imami may publish in the future.
Co-authors
The 25 scholars most cited alongside Koshi Imami, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 206 | |
| 2 | 2017 | 155 | |
| 3 | 2008 | 103 | |
| 4 | 2008 | 102 | |
| 5 | 2018 | 91 | |
| 6 | 2013 | 83 | |
| 7 | 2018 | 82 | |
| 8 | 2016 | 77 | |
| 9 | 2019 | 61 | |
| 10 | 2007 | 56 | |
| 11 | 2005 | 55 | |
| 12 | 2018 | 50 | |
| 13 | 2020 | 44 | |
| 14 | 2012 | 41 | |
| 15 | 2020 | 41 | |
| 16 | 2022 | 37 | |
| 17 | 2013 | 36 | |
| 18 | 2015 | 31 | |
| 19 | 2020 | 31 | |
| 20 | 2019 | 28 |
About Koshi Imami
Koshi Imami is a scholar working on Spectroscopy, Molecular Biology, Cell Biology, Immunology and Genetics, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), RNA and protein synthesis mechanisms (11 papers), Extracellular vesicles in disease (7 papers), RNA Research and Splicing (5 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Bacterial Genetics and Biotechnology (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Spectroscopy (280 citations), Molecular Biology (771 citations), Endocrinology (44 citations), Immunology (188 citations) and Cell Biology (118 citations). Koshi Imami has collaborated with scholars based in Japan, Germany and Canada. Frequent co-authors include Yasushi Ishihama, Naoyuki Sugiyama, Matthias Selbach, Masaru Tomita, Yutaka Kyono, Shigeru Terabe, Tomoharu Yasuda, Maria Rowena N. Monton, B. Brett Finlay and Leonard J. Foster. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Communications, The Journal of Biochemistry, Analytical Chemistry and eLife.
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.