Hisako Ohtsubo
- Molecular Biology top 5%
- Plant Science top 2%
- Genetics top 2%
- Ecology top 5%
- Endocrinology top 2%
- Co-authors
- Eiichi OhtsuboSuguru TsuchimotoMasaaki UmedaChaoyang ChengMasaru TakeshitaArthur P. GrollmanThomas B. RyderReiko Motohashi
- Topics
- Chromosomal and Genetic Variations (24 papers)Plant Disease Resistance and Genetics (17 papers)Bacterial Genetics and Biotechnology (16 papers)
- Cited by
- EndocrinologyGeneticsPlant Science
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hisako Ohtsubo
64 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.5k
- Plant Science 1.2k
- Genetics 956
- Ecology 420
- Endocrinology 186
Countries citing papers authored by Hisako Ohtsubo
This map shows the geographic impact of Hisako Ohtsubo'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 Hisako Ohtsubo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisako Ohtsubo more than expected).
Fields of papers citing papers by Hisako Ohtsubo
This network shows the impact of papers produced by Hisako Ohtsubo. 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 Hisako Ohtsubo. The network helps show where Hisako Ohtsubo may publish in the future.
Co-authorship network of co-authors of Hisako Ohtsubo
This figure shows the co-authorship network connecting the top 25 collaborators of Hisako Ohtsubo. A scholar is included among the top collaborators of Hisako Ohtsubo 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 Hisako Ohtsubo. Hisako Ohtsubo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 22 | |
| 3 | 95 | |
| 4 | 198 | |
| 5 | 5 | |
| 6 | 49 | |
| 7 | 27 | |
| 8 | 38 | |
| 9 | 4 | |
| 10 | THE CRUSHING MECHANICS OF BOW STRUCTURE IN HEAD-ON COLLISION (2ND REPORT: A SIMPLE CALCULATION FORMULA) | 5 |
| 11 | 12 | |
| 12 | THE CRUSHING MECHANICS OF BOW STRUCTURE AND ITS OPTIMAL DESIGN AGAINST HEAD ON COLLISION | 4 |
| 13 | 25 | |
| 14 | 25 | |
| 15 | 34 | |
| 16 | 23 | |
| 17 | 101 | |
| 18 | ULTIMATE STRENGTH OF RECTANGULAR PLATES UNDER COMBINATION OF LOADS, PART 2: INTERACTION OF COMPRESSIVE AND SHEAR STRESSES | 1 |
| 19 | 7 | |
| 20 | 30 |
About Hisako Ohtsubo
Hisako Ohtsubo is a scholar working on Plant Science, Molecular Medicine and Genetics, having authored 65 papers that have together received 2.6k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (24 papers), Plant Disease Resistance and Genetics (17 papers) and Bacterial Genetics and Biotechnology (16 papers). The work is most often cited by research in Endocrinology (186 citations), Genetics (956 citations) and Plant Science (1.2k citations). Hisako Ohtsubo has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Eiichi Ohtsubo, Suguru Tsuchimoto, Masaaki Umeda, Chaoyang Cheng, Masaru Takeshita, Arthur P. Grollman, Thomas B. Ryder, Reiko Motohashi, Ken-ichi Noma and Jonathan Rosen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Molecular Biology.
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.