Makio Takeda
- Insect Science top 1%
- Insect-Plant Interactions and Control 5
- Insect and Pesticide Research 3
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- Neurobiology and Insect Physiology Research 10
- Genetics top 5%
- Insect and Arachnid Ecology and Behavior 12
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- Plant and animal studies 6
- Physiology top 10%
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- Insect Resistance and Genetics 6
- Viral Infectious Diseases and Gene Expression in Insects 3
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- Viral Infections and Immunology Research 3
- Co-authors
- Muhammad TufailTadashi GomiMasatsugu HatakeyamaMasahiko MurajiKensuke HirasawaKunio DoiDao Bach KhoaHideyuki Inui
- Journals
- SHILAP Revista de lepidopterología (1 paper)Gene (1 paper)Functional Ecology (1 paper)
- Partner nations
- JapanUnited StatesSaudi Arabia
In The Last Decade
Makio Takeda
26 papers receiving 884 citations
Peers
Comparison fields: 5 of 73
- Insect Science 451
- Cellular and Molecular Neuroscience 269
- Genetics 390
- Ecology, Evolution, Behavior and Systematics 205
- Physiology 34
Countries citing papers authored by Makio Takeda
This map shows the geographic impact of Makio Takeda'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 Makio Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makio Takeda more than expected).
Fields of papers citing papers by Makio Takeda
This network shows the impact of papers produced by Makio Takeda. 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 Makio Takeda. The network helps show where Makio Takeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makio Takeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2021 | 24 | |
| 3 | 2017 | 7 | |
| 4 | 2013 | 8 | |
| 5 | Molecular characterization, developmental expression and immunolocalization of clathrin heavy chain in the ovary of the American cockroach, Periplaneta americana during oogenesis | 2012 | 2 |
| 6 | 2012 | 11 | |
| 7 | 2008 | 384 | |
| 8 | 2006 | 56 | |
| 9 | 2005 | 78 | |
| 10 | 2004 | 26 | |
| 11 | 2002 | 47 | |
| 12 | 2001 | 55 | |
| 13 | 2001 | 18 | |
| 14 | 2001 | 1 | |
| 15 | Selection for Fast and Slow Development Rates Affected Diapause and Other Developmental Traits in Plodia interpunctella (Lepidoptera : Phycitidae) | 1998 | 3 |
| 16 | 1997 | 5 | |
| 17 | 1996 | 13 | |
| 18 | 1996 | 51 | |
| 19 | 1993 | 10 | |
| 20 | 1991 | 9 |
About Makio Takeda
Makio Takeda is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Genetics, having authored 26 papers that have together received 909 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (12 papers), Neurobiology and Insect Physiology Research (10 papers), Plant and animal studies (6 papers), Insect Resistance and Genetics (6 papers), Insect-Plant Interactions and Control (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Insect and Pesticide Research (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Insect Science (451 citations), Cellular and Molecular Neuroscience (269 citations) and Genetics (390 citations). Makio Takeda has collaborated with scholars based in Japan, United States and Saudi Arabia. Frequent co-authors include Muhammad Tufail, Tadashi Gomi, Masatsugu Hatakeyama, Masahiko Muraji, Kensuke Hirasawa, Kunio Doi, Dao Bach Khoa, Hideyuki Inui, Aito Ueno and Katsumi Doi. Their work appears in journals such as SHILAP Revista de lepidopterología, Gene and Functional Ecology.
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.