Makio Takeda
- Insect Science top 1%
- Genetics top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Muhammad TufailTadashi GomiMasatsugu HatakeyamaMasahiko MurajiKensuke HirasawaKunio DoiDao Bach KhoaHideyuki Inui
- Topics
- Insect and Arachnid Ecology and Behavior (12 papers)Neurobiology and Insect Physiology Research (10 papers)Plant and animal studies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaGeneFunctional Ecology
- 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
- Genetics 390
- Molecular Biology 314
- Cellular and Molecular Neuroscience 269
- Ecology, Evolution, Behavior and Systematics 205
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 of co-authors of Makio Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Makio Takeda. A scholar is included among the top collaborators of Makio Takeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Makio Takeda. Makio Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | Molecular characterization, developmental expression and immunolocalization of clathrin heavy chain in the ovary of the American cockroach, Periplaneta americana during oogenesis | 2 |
| 6 | 11 | |
| 7 | 384 | |
| 8 | 56 | |
| 9 | 78 | |
| 10 | 26 | |
| 11 | 47 | |
| 12 | 55 | |
| 13 | 18 | |
| 14 | 1 | |
| 15 | Selection for Fast and Slow Development Rates Affected Diapause and Other Developmental Traits in Plodia interpunctella (Lepidoptera : Phycitidae) | 3 |
| 16 | 5 | |
| 17 | 13 | |
| 18 | 51 | |
| 19 | 10 | |
| 20 | 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) and Plant and animal studies (6 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.