Hideaki Shinshi
- Plant Science top 0.1%
- Molecular Biology top 1%
- Biotechnology top 1%
- Insect Science top 2%
- Cell Biology top 5%
- Co-authors
- Masaru Ohme‐TakagiKaoru SuzukiToshitsugu NakanoTatsuhito FujimuraMasaru OhtaFrederick MeinsSusan Y. FujimotoAkemi Usui
- Topics
- Plant-Microbe Interactions and Immunity (22 papers)Plant tissue culture and regeneration (22 papers)Plant Gene Expression Analysis (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
Hideaki Shinshi
59 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Plant Science 6.9k
- Molecular Biology 4.6k
- Biotechnology 376
- Insect Science 250
- Cell Biology 230
Countries citing papers authored by Hideaki Shinshi
This map shows the geographic impact of Hideaki Shinshi'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 Hideaki Shinshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Shinshi more than expected).
Fields of papers citing papers by Hideaki Shinshi
This network shows the impact of papers produced by Hideaki Shinshi. 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 Hideaki Shinshi. The network helps show where Hideaki Shinshi may publish in the future.
Co-authorship network of co-authors of Hideaki Shinshi
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Shinshi. A scholar is included among the top collaborators of Hideaki Shinshi 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 Hideaki Shinshi. Hideaki Shinshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Genome-Wide Analysis of the ERF Gene Family in Arabidopsis and Ricebreakdown → | 1770 |
| 3 | 19 | |
| 4 | 61 | |
| 5 | 17 | |
| 6 | 122 | |
| 7 | 105 | |
| 8 | 31 | |
| 9 | 102 | |
| 10 | 27 | |
| 11 | 232 | |
| 12 | 15 | |
| 13 | INDUCTION OF CELL DEATH BY FUNGAL ELICITOR IN TOBACCO SUSPENSION CULTURE | 1 |
| 14 | CHARACTERIZATION OF ELICITOR-RESPONSIVE 47-kD PROTEIN KINASE IN TOBACCO CELLS. | 1 |
| 15 | 101 | |
| 16 | Ethylene-inducible DNA binding proteins that interact with an ethylene-responsive element.breakdown → | 1006 |
| 17 | 66 | |
| 18 | 18 | |
| 19 | 92 | |
| 20 | 6 |
About Hideaki Shinshi
Hideaki Shinshi is a scholar working on Plant Science, Horticulture and Biotechnology, having authored 59 papers that have together received 7.8k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (22 papers), Plant tissue culture and regeneration (22 papers) and Plant Gene Expression Analysis (14 papers). The work is most often cited by research in Plant Science (6.9k citations), Molecular Biology (4.6k citations) and Horticulture (46 citations). Hideaki Shinshi has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Masaru Ohme‐Takagi, Kaoru Suzuki, Toshitsugu Nakano, Tatsuhito Fujimura, Masaru Ohta, Frederick Meins, Susan Y. Fujimoto, Akemi Usui, Keiichiro Hiratsu and Kyoko Matsui. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.