Wataru Marubashi
- Plant Science top 5%
- Molecular Biology
- Biotechnology top 5%
- Genetics
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Masaru NiwaTetsuya YamadaTakahiro TezukaYasumasa TakatsuMasakazu KasumiTsutomu KuboyamaEiichi InoueYu Masuda
- Topics
- Plant tissue culture and regeneration (40 papers)Plant Genetic and Mutation Studies (24 papers)Transgenic Plants and Applications (21 papers)
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Wataru Marubashi
60 papers receiving 859 citations
Peers
Comparison fields: 5 of 56
- Plant Science 781
- Molecular Biology 621
- Biotechnology 192
- Genetics 82
- Ecology, Evolution, Behavior and Systematics 80
Countries citing papers authored by Wataru Marubashi
This map shows the geographic impact of Wataru Marubashi'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 Wataru Marubashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wataru Marubashi more than expected).
Fields of papers citing papers by Wataru Marubashi
This network shows the impact of papers produced by Wataru Marubashi. 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 Wataru Marubashi. The network helps show where Wataru Marubashi may publish in the future.
Co-authorship network of co-authors of Wataru Marubashi
This figure shows the co-authorship network connecting the top 25 collaborators of Wataru Marubashi. A scholar is included among the top collaborators of Wataru Marubashi 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 Wataru Marubashi. Wataru Marubashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 23 | |
| 7 | 19 | |
| 8 | 33 | |
| 9 | 22 | |
| 10 | Genomic factors lead to programmed cell death during hybrid lethality in interspecific hybrids between Nicotiana tabacum and N. debneyi. | 11 |
| 11 | 23 | |
| 12 | Cytological comparisons of somatic chromosomes in × Crepidiastrixeris denticulato-platyphylla and speculation of its parental species (Asteraceae) | 1 |
| 13 | 42 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 21 | |
| 18 | 16 | |
| 19 | 49 | |
| 20 | 24 |
About Wataru Marubashi
Wataru Marubashi is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 60 papers that have together received 927 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (40 papers), Plant Genetic and Mutation Studies (24 papers) and Transgenic Plants and Applications (21 papers). The work is most often cited by research in Biotechnology (192 citations), Plant Science (781 citations) and Molecular Biology (621 citations). Wataru Marubashi has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Masaru Niwa, Tetsuya Yamada, Tetsuya Yamada, Takahiro Tezuka, Yasumasa Takatsu, Masakazu Kasumi, Tsutomu Kuboyama, Eiichi Inoue, Yu Masuda and Tsukasa Iwashina. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.