Yutetsu Kuruma
- Molecular Biology top 5%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Astronomy and Astrophysics top 5%
- Genetics top 10%
- Co-authors
- Takuya UedaSamuel BerhanuPier Luigi LuisiPasquale StanoHideaki T. MatsubayashiYoshihiro ShimizuTereza Pereira de SouzaPaolo Bianchini
- Topics
- RNA and protein synthesis mechanisms (21 papers)Lipid Membrane Structure and Behavior (12 papers)Bacterial Genetics and Biotechnology (7 papers)
- Journals
- Journal of Biological ChemistryAngewandte Chemie International EditionNature Communications
- Partner nations
- JapanItalyUnited States
In The Last Decade
Yutetsu Kuruma
39 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.3k
- Biomedical Engineering 352
- Cellular and Molecular Neuroscience 265
- Astronomy and Astrophysics 222
- Genetics 194
Countries citing papers authored by Yutetsu Kuruma
This map shows the geographic impact of Yutetsu Kuruma'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 Yutetsu Kuruma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutetsu Kuruma more than expected).
Fields of papers citing papers by Yutetsu Kuruma
This network shows the impact of papers produced by Yutetsu Kuruma. 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 Yutetsu Kuruma. The network helps show where Yutetsu Kuruma may publish in the future.
Co-authorship network of co-authors of Yutetsu Kuruma
This figure shows the co-authorship network connecting the top 25 collaborators of Yutetsu Kuruma. A scholar is included among the top collaborators of Yutetsu Kuruma 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 Yutetsu Kuruma. Yutetsu Kuruma 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 | 1 | |
| 3 | 2 | |
| 4 | 41 | |
| 5 | 19 | |
| 6 | 11 | |
| 7 | 27 | |
| 8 | Artificial photosynthetic cell producing energy for protein synthesisbreakdown → | 300 |
| 9 | 17 | |
| 10 | 23 | |
| 11 | 112 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 35 | |
| 15 | 31 | |
| 16 | 14 | |
| 17 | 183 | |
| 18 | 33 | |
| 19 | 5 | |
| 20 | 66 |
About Yutetsu Kuruma
Yutetsu Kuruma is a scholar working on Biochemistry, Molecular Biology and Biophysics, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Lipid Membrane Structure and Behavior (12 papers) and Bacterial Genetics and Biotechnology (7 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cellular and Molecular Neuroscience (265 citations) and Astronomy and Astrophysics (222 citations). Yutetsu Kuruma has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Takuya Ueda, Samuel Berhanu, Pier Luigi Luisi, Pasquale Stano, Hideaki T. Matsubayashi, Yoshihiro Shimizu, Tereza Pereira de Souza, Paolo Bianchini, Alberto Diaspro and Giovanni Murtas. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition 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.