Hiroyuki Kurata
- Molecular Biology top 5%
- Biomedical Engineering
- Genetics top 10%
- Microbiology top 2%
- Computational Theory and Mathematics top 5%
- Co-authors
- Md Mehedi HasanMst. Shamima KhatunBalachandran ManavalanWatshara ShoombuatongKazuhiro MaedaMustafa KhammashJohn C. DoyleHana El‐Samad
- Topics
- Gene Regulatory Network Analysis (46 papers)Microbial Metabolic Engineering and Bioproduction (41 papers)Machine Learning in Bioinformatics (31 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchAngewandte Chemie International Edition
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Hiroyuki Kurata
157 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.2k
- Biomedical Engineering 219
- Genetics 192
- Microbiology 168
- Computational Theory and Mathematics 166
Countries citing papers authored by Hiroyuki Kurata
This map shows the geographic impact of Hiroyuki Kurata'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 Hiroyuki Kurata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Kurata more than expected).
Fields of papers citing papers by Hiroyuki Kurata
This network shows the impact of papers produced by Hiroyuki Kurata. 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 Hiroyuki Kurata. The network helps show where Hiroyuki Kurata may publish in the future.
Co-authorship network of co-authors of Hiroyuki Kurata
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Kurata. A scholar is included among the top collaborators of Hiroyuki Kurata 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 Hiroyuki Kurata. Hiroyuki Kurata 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 | 3 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 69 | |
| 7 | 31 | |
| 8 | 46 | |
| 9 | 42 | |
| 10 | 9 | |
| 11 | 53 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 14 | |
| 19 | PROPATIES OF A SOLUBLE ETHYRENE-INDUCED CHLOROPHYLLASE IN PEEL OF CITRUS UNSHIU MARC. FRUITS | 1 |
| 20 | Studies on the formation of female flowers in cucurbits. II. Effect of temperature on the formation of female flowers in winter squash (Cucúrbita maxima) and watermelon. | 1 |
About Hiroyuki Kurata
Hiroyuki Kurata is a scholar working on Molecular Biology, Microbiology and Biotechnology, having authored 163 papers that have together received 3.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (46 papers), Microbial Metabolic Engineering and Bioproduction (41 papers) and Machine Learning in Bioinformatics (31 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Microbiology (168 citations) and Computational Theory and Mathematics (166 citations). Hiroyuki Kurata has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Md Mehedi Hasan, Mst. Shamima Khatun, Balachandran Manavalan, Watshara Shoombuatong, Kazuhiro Maeda, Mustafa Khammash, John C. Doyle, Hana El‐Samad, Carol A. Gross and Shintaro Furusaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.
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.