Mitsuyasu Hasebe
- Plant Science top 0.1%
- Molecular Biology top 1%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Cell Biology top 5%
- Genetics top 5%
- Co-authors
- Tomoaki NishiyamaMotomi ItôMasahiro KatoTakashi MurataYuji HiwatashiRumiko KofujiKunio IwatsukiKeiko Sakakibara
- Topics
- Plant Molecular Biology Research (76 papers)Plant Reproductive Biology (35 papers)Photosynthetic Processes and Mechanisms (25 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Mitsuyasu Hasebe
149 papers receiving 7.8k citations
Peers
Comparison fields: 5 of 114
- Plant Science 5.5k
- Molecular Biology 5.0k
- Ecology, Evolution, Behavior and Systematics 2.5k
- Cell Biology 441
- Genetics 435
Countries citing papers authored by Mitsuyasu Hasebe
This map shows the geographic impact of Mitsuyasu Hasebe'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 Mitsuyasu Hasebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuyasu Hasebe more than expected).
Fields of papers citing papers by Mitsuyasu Hasebe
This network shows the impact of papers produced by Mitsuyasu Hasebe. 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 Mitsuyasu Hasebe. The network helps show where Mitsuyasu Hasebe may publish in the future.
Co-authorship network of co-authors of Mitsuyasu Hasebe
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuyasu Hasebe. A scholar is included among the top collaborators of Mitsuyasu Hasebe 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 Mitsuyasu Hasebe. Mitsuyasu Hasebe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 32 | |
| 5 | 25 | |
| 6 | 72 | |
| 7 | 116 | |
| 8 | 59 | |
| 9 | 33 | |
| 10 | 111 | |
| 11 | 87 | |
| 12 | 114 | |
| 13 | 80 | |
| 14 | 30 | |
| 15 | 9 | |
| 16 | 166 | |
| 17 | Physcomitrella patens homologous genes related to bacterial peptidoglycan synthesis affect chloroplast division | 1 |
| 18 | Functional Analysis of MADS-box Genes in Physcomitrella patens | 1 |
| 19 | 159 | |
| 20 | 114 |
About Mitsuyasu Hasebe
Mitsuyasu Hasebe is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Structural Biology, having authored 155 papers that have together received 8.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (76 papers), Plant Reproductive Biology (35 papers) and Photosynthetic Processes and Mechanisms (25 papers). The work is most often cited by research in Plant Science (5.5k citations), Ecology, Evolution, Behavior and Systematics (2.5k citations) and Molecular Biology (5.0k citations). Mitsuyasu Hasebe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tomoaki Nishiyama, Motomi Itô, Masahiro Kato, Takashi Murata, Yuji Hiwatashi, Rumiko Kofuji, Kunio Iwatsuki, Keiko Sakakibara, Minoru Kubo and Kunihiko Ueda. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.