Takaaki Daimon
Impact in
- Insect Science top 0.5%
- Insect symbiosis and bacterial influences
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- Neurobiology and Insect Physiology Research
Papers in
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- Insect Resistance and Genetics 18
- Viral Infectious Diseases and Gene Expression in Insects 12
- CRISPR and Genetic Engineering 12
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- Insect symbiosis and bacterial influences 9
- Co-authors
- Toru Shimada (32 shared papers)Susumu Katsuma (26 shared papers)Hideki Sezutsu (14 shared papers)Tetsuro Shinoda (11 shared papers)Kazuei Mita (12 shared papers)Yutaka Banno (9 shared papers)Yan Meng (5 shared papers)Yoko Takasu (3 shared papers)
In The Last Decade
Takaaki Daimon
70 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 86
- Insect Science 1.2k
- Cellular and Molecular Neuroscience 812
- Aging 69
- Genetics 716
- Molecular Biology 1.5k
Countries citing papers authored by Takaaki Daimon
This map shows the geographic impact of Takaaki Daimon'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 Takaaki Daimon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takaaki Daimon more than expected).
Fields of papers citing papers by Takaaki Daimon
This network shows the impact of papers produced by Takaaki Daimon. 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 Takaaki Daimon. The network helps show where Takaaki Daimon may publish in the future.
Co-authors
The 25 scholars most cited alongside Takaaki Daimon, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 390 | |
| 2 | 2012 | 141 | |
| 3 | 2015 | 136 | |
| 4 | 2008 | 113 | |
| 5 | 2010 | 109 | |
| 6 | 2014 | 102 | |
| 7 | 2008 | 94 | |
| 8 | 2013 | 83 | |
| 9 | 2003 | 76 | |
| 10 | 2022 | 63 | |
| 11 | 2005 | 63 | |
| 12 | 2005 | 61 | |
| 13 | 2015 | 60 | |
| 14 | 2013 | 60 | |
| 15 | 2007 | 59 | |
| 16 | 2011 | 58 | |
| 17 | 2019 | 58 | |
| 18 | 2005 | 57 | |
| 19 | 2013 | 53 | |
| 20 | 2010 | 50 |
About Takaaki Daimon
Takaaki Daimon is a scholar working on Molecular Biology, Insect Science, Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (27 papers), Insect and Arachnid Ecology and Behavior (22 papers), Insect Resistance and Genetics (18 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), CRISPR and Genetic Engineering (12 papers), Invertebrate Immune Response Mechanisms (9 papers), Insect symbiosis and bacterial influences (9 papers) and Silk-based biomaterials and applications (8 papers). The work is most often cited by research in Insect Science (1.2k citations), Cellular and Molecular Neuroscience (812 citations), Aging (69 citations), Genetics (716 citations) and Molecular Biology (1.5k citations). Takaaki Daimon has collaborated with scholars based in Japan, Czechia and Australia. Frequent co-authors include Toru Shimada, Susumu Katsuma, Hideki Sezutsu, Tetsuro Shinoda, Kazuei Mita, Yutaka Banno, Yan Meng, Yoko Takasu, Keiro Uchino and Takuya Tsubota. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Archives of Insect Biochemistry and Physiology and Scientific Reports.
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.