Daisuke Nakane
Impact in
- Microbiology top 1%
- Microbial infections and disease research
- Structural Biology top 5%
Papers in
-
- Protist diversity and phylogeny 9
- Genomics and Phylogenetic Studies 7
- Ecology 26
- Bacteriophages and microbial interactions 25
- Co-authors
- Makoto Miyata (17 shared papers)Takayuki Nishizaka (20 shared papers)Hideki Masuda (17 shared papers)Shuichi Nakamura (7 shared papers)Mark J. McBride (5 shared papers)Yoshiaki Kinosita (4 shared papers)Tsuyoshi Kenri (3 shared papers)Keiko Sato (5 shared papers)
- Journals
- Journal of Bacteriology (11 papers)Proceedings of the National Academy of Sciences (4 papers)PLoS Pathogens (4 papers)Scientific Reports (3 papers)Chemistry - A European Journal (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Daisuke Nakane
98 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 121
- Microbiology 358
- Structural Biology 34
- Organic Chemistry 544
- Periodontics 83
- Ecology 414
Countries citing papers authored by Daisuke Nakane
This map shows the geographic impact of Daisuke Nakane'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 Nakane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Nakane more than expected).
Fields of papers citing papers by Daisuke Nakane
This network shows the impact of papers produced by Daisuke Nakane. 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 Nakane. The network helps show where Daisuke Nakane may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Nakane, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 152 | |
| 2 | 2014 | 104 | |
| 3 | 2013 | 101 | |
| 4 | 2013 | 98 | |
| 5 | 2015 | 94 | |
| 6 | 2015 | 79 | |
| 7 | 2014 | 77 | |
| 8 | 2010 | 68 | |
| 9 | 2016 | 65 | |
| 10 | 2012 | 64 | |
| 11 | 2010 | 57 | |
| 12 | 2007 | 52 | |
| 13 | 2017 | 52 | |
| 14 | 2020 | 50 | |
| 15 | 2012 | 50 | |
| 16 | 2014 | 50 | |
| 17 | 2015 | 47 | |
| 18 | 2017 | 40 | |
| 19 | 2013 | 39 | |
| 20 | 2011 | 34 |
About Daisuke Nakane
Daisuke Nakane is a scholar working on Molecular Biology, Ecology, Organic Chemistry, Microbiology and Inorganic Chemistry, having authored 105 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (25 papers), Microbial infections and disease research (16 papers), Metal complexes synthesis and properties (12 papers), Protist diversity and phylogeny (9 papers), Micro and Nano Robotics (8 papers), Genomics and Phylogenetic Studies (7 papers), Asymmetric Synthesis and Catalysis (7 papers) and Metal-Catalyzed Oxygenation Mechanisms (7 papers). The work is most often cited by research in Microbiology (358 citations), Structural Biology (34 citations), Organic Chemistry (544 citations), Periodontics (83 citations) and Ecology (414 citations). Daisuke Nakane has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Makoto Miyata, Takayuki Nishizaka, Hideki Masuda, Shuichi Nakamura, Mark J. McBride, Yoshiaki Kinosita, Tsuyoshi Kenri, Keiko Sato, Hirofumi Wada and Masashi Hayashi. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, PLoS Pathogens, Scientific Reports and Chemistry - A European Journal.
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.