Masatoshi Iga
Impact in
- Insect Science top 2%
- Insect Utilization and Effects
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 23
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- Insect Resistance and Genetics 7
- Viral Infectious Diseases and Gene Expression in Insects 4
- Co-authors
- Hiroshi Kataoka (11 shared papers)Guy Smagghe (8 shared papers)Sho Sakurai (4 shared papers)Masafumi Iwami (3 shared papers)Pierre Rougé (2 shared papers)Mari H. Ogihara (4 shared papers)Ryusuke Niwa (3 shared papers)Olivier Christiaens (1 shared paper)
In The Last Decade
Masatoshi Iga
27 papers receiving 937 citations
Peers
Comparison fields: 5 of 61
- Insect Science 398
- Cellular and Molecular Neuroscience 569
- Genetics 270
- Immunology 150
- Molecular Biology 413
Countries citing papers authored by Masatoshi Iga
This map shows the geographic impact of Masatoshi Iga'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 Masatoshi Iga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Iga more than expected).
Fields of papers citing papers by Masatoshi Iga
This network shows the impact of papers produced by Masatoshi Iga. 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 Masatoshi Iga. The network helps show where Masatoshi Iga may publish in the future.
Co-authors
The 25 scholars most cited alongside Masatoshi Iga, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 147 | |
| 2 | 2009 | 100 | |
| 3 | 2014 | 79 | |
| 4 | 2010 | 74 | |
| 5 | 2009 | 68 | |
| 6 | 2006 | 40 | |
| 7 | 2012 | 39 | |
| 8 | 2014 | 35 | |
| 9 | 2010 | 34 | |
| 10 | 2013 | 33 | |
| 11 | 2017 | 31 | |
| 12 | 2017 | 29 | |
| 13 | 2008 | 29 | |
| 14 | 2009 | 28 | |
| 15 | 2017 | 24 | |
| 16 | 2018 | 21 | |
| 17 | 2019 | 18 | |
| 18 | 2012 | 16 | |
| 19 | 2010 | 16 | |
| 20 | 2023 | 15 |
About Masatoshi Iga
Masatoshi Iga is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Insect Science, Genetics and Biomaterials, having authored 28 papers that have together received 945 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (23 papers), Insect Utilization and Effects (8 papers), Insect Resistance and Genetics (7 papers), Insect and Arachnid Ecology and Behavior (6 papers), Insect and Pesticide Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Silk-based biomaterials and applications (4 papers) and Antioxidant Activity and Oxidative Stress (4 papers). The work is most often cited by research in Insect Science (398 citations), Cellular and Molecular Neuroscience (569 citations), Genetics (270 citations), Immunology (150 citations) and Molecular Biology (413 citations). Masatoshi Iga has collaborated with scholars based in Japan, Belgium and France. Frequent co-authors include Hiroshi Kataoka, Guy Smagghe, Sho Sakurai, Masafumi Iwami, Pierre Rougé, Mari H. Ogihara, Ryusuke Niwa, Olivier Christiaens, Sora Enya and Tomotsune Ameku. Their work appears in journals such as Journal of Insect Physiology, Peptides, Biomacromolecules, Genetics 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.