Daisuke Imamura
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
- Co-authors
- Ritsuko Kuwana (6 shared papers)Hiromu Takamatsu (6 shared papers)Kazuhito Watabe (6 shared papers)Tsutomu Sato (7 shared papers)Patrick Eichenberger (4 shared papers)Richard Losick (1 shared paper)Peter Setlow (1 shared paper)Erin M. Conlon (1 shared paper)
- Journals
- Journal of Bacteriology (6 papers)Journal of Biological Chemistry (2 papers)Infection and Immunity (1 paper)iScience (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Daisuke Imamura
22 papers receiving 642 citations
Peers
Comparison fields: 5 of 71
- Endocrinology 73
- Genetics 312
- Ecology 243
- Molecular Medicine 32
- Biotechnology 57
Countries citing papers authored by Daisuke Imamura
This map shows the geographic impact of Daisuke Imamura'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 Imamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Imamura more than expected).
Fields of papers citing papers by Daisuke Imamura
This network shows the impact of papers produced by Daisuke Imamura. 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 Imamura. The network helps show where Daisuke Imamura may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Imamura, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 233 | |
| 2 | 2011 | 86 | |
| 3 | 2009 | 56 | |
| 4 | 2004 | 29 | |
| 5 | 2005 | 27 | |
| 6 | 2017 | 27 | |
| 7 | 2008 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2019 | 21 | |
| 10 | 2008 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2019 | 16 | |
| 14 | 2011 | 14 | |
| 15 | 2012 | 9 | |
| 16 | 2003 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2011 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2011 | 7 |
About Daisuke Imamura
Daisuke Imamura is a scholar working on Ecology, Genetics, Molecular Biology, Endocrinology and Immunology, having authored 22 papers that have together received 655 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (12 papers), Vibrio bacteria research studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Bacillus and Francisella bacterial research (3 papers), Aquaculture disease management and microbiota (3 papers), Salmonella and Campylobacter epidemiology (2 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). The work is most often cited by research in Endocrinology (73 citations), Genetics (312 citations), Ecology (243 citations), Molecular Medicine (32 citations) and Biotechnology (57 citations). Daisuke Imamura has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Ritsuko Kuwana, Hiromu Takamatsu, Kazuhito Watabe, Tsutomu Sato, Patrick Eichenberger, Richard Losick, Peter Setlow, Erin M. Conlon, Barbara Setlow and Sumió Shinoda. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Infection and Immunity, iScience and Journal of Molecular Biology.
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.