Rei Kajitani
- Genetics top 5%
- Lepidoptera: Biology and Taxonomy 4
- Genetic diversity and population structure 4
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 11
- Genomics and Chromatin Dynamics 3
- Insect Science top 5%
- Endocrinology top 10%
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- Chromosomal and Genetic Variations 7
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- Coral and Marine Ecosystems Studies 3
- Microbial Community Ecology and Physiology 3
- Bacteriophages and microbial interactions 3
- Co-authors
- Takehiko ItohMiki OkunoAtsushi ToyodaAsao FujiyamaTetsuya HayashiYoshitoshi OguraYuji KoharaHideki Noguchi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Rei Kajitani
29 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Genetics 464
- Ecology, Evolution, Behavior and Systematics 262
- Molecular Biology 806
- Insect Science 143
- Endocrinology 57
Countries citing papers authored by Rei Kajitani
This map shows the geographic impact of Rei Kajitani'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 Rei Kajitani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rei Kajitani more than expected).
Fields of papers citing papers by Rei Kajitani
This network shows the impact of papers produced by Rei Kajitani. 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 Rei Kajitani. The network helps show where Rei Kajitani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rei Kajitani, 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 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 46 | |
| 11 | 2021 | 58 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2019 | 92 | |
| 18 | 2019 | 23 | |
| 19 | 2015 | 162 | |
| 20 | Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short readsbreakdown → | 2014 | 717 |
About Rei Kajitani
Rei Kajitani is a scholar working on Ecology, Genetics and Plant Science, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Chromosomal and Genetic Variations (7 papers), Lepidoptera: Biology and Taxonomy (4 papers), Genetic diversity and population structure (4 papers), Coral and Marine Ecosystems Studies (3 papers), Genomics and Chromatin Dynamics (3 papers), Microbial Community Ecology and Physiology (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Genetics (464 citations), Ecology, Evolution, Behavior and Systematics (262 citations) and Molecular Biology (806 citations). Rei Kajitani has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Takehiko Itoh, Miki Okuno, Atsushi Toyoda, Asao Fujiyama, Tetsuya Hayashi, Yoshitoshi Ogura, Yuji Kohara, Hideki Noguchi, Eiji Nagayasu and Masayuki Harada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.