Daisuke Kami
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 9
- Plant tissue culture and regeneration 8
- Mitochondrial Function and Pathology 7
- RNA Research and Splicing 5
-
- Seed Germination and Physiology 5
- Co-authors
- Satoshi Gojo (37 shared papers)Tomoya Kitani (10 shared papers)Satoaki Matoba (17 shared papers)Masashi Toyoda (11 shared papers)Yoko Itakura (6 shared papers)Masatoshi Watanabe (8 shared papers)Akihiro Umezawa (12 shared papers)Shogo Takeda (2 shared papers)
- Journals
- Scientia Horticulturae (6 papers)Cells (4 papers)Scientific Reports (3 papers)Biochemical and Biophysical Research Communications (3 papers)PLoS ONE (3 papers)
- Partner nations
- JapanUnited StatesUzbekistan
In The Last Decade
Daisuke Kami
73 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Clinical Biochemistry 95
- Biomaterials 161
- Molecular Biology 628
- Genetics 81
- Horticulture 6
Countries citing papers authored by Daisuke Kami
This map shows the geographic impact of Daisuke Kami'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 Daisuke Kami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kami more than expected).
Fields of papers citing papers by Daisuke Kami
This network shows the impact of papers produced by Daisuke Kami. 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 Daisuke Kami. The network helps show where Daisuke Kami may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kami, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 201 | |
| 2 | 2011 | 126 | |
| 3 | 2019 | 55 | |
| 4 | 2015 | 50 | |
| 5 | 2020 | 48 | |
| 6 | 2013 | 37 | |
| 7 | 2014 | 36 | |
| 8 | 2016 | 36 | |
| 9 | 2008 | 33 | |
| 10 | 2013 | 30 | |
| 11 | 2012 | 29 | |
| 12 | 2015 | 27 | |
| 13 | 2012 | 26 | |
| 14 | 2012 | 22 | |
| 15 | 2020 | 22 | |
| 16 | 2014 | 22 | |
| 17 | 2018 | 21 | |
| 18 | 2010 | 20 | |
| 19 | 2008 | 19 | |
| 20 | 2014 | 18 |
About Daisuke Kami
Daisuke Kami is a scholar working on Molecular Biology, Plant Science, Surgery, Genetics and Biomaterials, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Plant tissue culture and regeneration (8 papers), Mitochondrial Function and Pathology (7 papers), RNA Research and Splicing (5 papers), Seed Germination and Physiology (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Advances in Cucurbitaceae Research (5 papers). The work is most often cited by research in Clinical Biochemistry (95 citations), Biomaterials (161 citations), Molecular Biology (628 citations), Genetics (81 citations) and Horticulture (6 citations). Daisuke Kami has collaborated with scholars based in Japan, United States and Uzbekistan. Frequent co-authors include Satoshi Gojo, Tomoya Kitani, Satoaki Matoba, Masashi Toyoda, Yoko Itakura, Masatoshi Watanabe, Akihiro Umezawa, Shogo Takeda, Keita Sugiyama and Hideki Maeda. Their work appears in journals such as Scientia Horticulturae, Cells, Scientific Reports, Biochemical and Biophysical Research Communications and PLoS ONE.
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.