Taketoshi Kiya
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Insect Science top 5%
- Molecular Biology
- Co-authors
- Takeo KuboTakekazu KuniedaMasafumi IwamiKazuei MitaYuka NagataMakoto SatoAbu Faiz Md AslamTakumi Nishiuchi
- Topics
- Neurobiology and Insect Physiology Research (21 papers)Insect and Arachnid Ecology and Behavior (15 papers)Animal Behavior and Reproduction (10 papers)
- Cited by
- Insect ScienceCellular and Molecular NeuroscienceEcology, Evolution, Behavior and Systematics
In The Last Decade
Taketoshi Kiya
28 papers receiving 455 citations
Peers
Comparison fields: 5 of 57
- Genetics 278
- Cellular and Molecular Neuroscience 265
- Ecology, Evolution, Behavior and Systematics 201
- Insect Science 188
- Molecular Biology 89
Countries citing papers authored by Taketoshi Kiya
This map shows the geographic impact of Taketoshi Kiya'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 Taketoshi Kiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taketoshi Kiya more than expected).
Fields of papers citing papers by Taketoshi Kiya
This network shows the impact of papers produced by Taketoshi Kiya. 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 Taketoshi Kiya. The network helps show where Taketoshi Kiya may publish in the future.
Co-authorship network of co-authors of Taketoshi Kiya
This figure shows the co-authorship network connecting the top 25 collaborators of Taketoshi Kiya. A scholar is included among the top collaborators of Taketoshi Kiya 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 Taketoshi Kiya. Taketoshi Kiya 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 | 12 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 60 | |
| 9 | 35 | |
| 10 | 5 | |
| 11 | 21 | |
| 12 | 3 | |
| 13 | 20 | |
| 14 | 41 | |
| 15 | 24 | |
| 16 | 22 | |
| 17 | 27 | |
| 18 | 15 | |
| 19 | 61 | |
| 20 | 10 |
About Taketoshi Kiya
Taketoshi Kiya is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 29 papers that have together received 458 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (21 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Animal Behavior and Reproduction (10 papers). The work is most often cited by research in Insect Science (188 citations), Cellular and Molecular Neuroscience (265 citations) and Ecology, Evolution, Behavior and Systematics (201 citations). Taketoshi Kiya has collaborated with scholars based in Japan, Taiwan and Italy. Frequent co-authors include Takeo Kubo, Takekazu Kunieda, Masafumi Iwami, Kazuei Mita, Yuka Nagata, Makoto Sato, Abu Faiz Md Aslam, Takumi Nishiuchi, Masato Ono and Yuzuru Itoh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.
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.