Hikaru Seki
- Molecular Biology top 2%
- Plant Science top 1%
- Pharmacology top 0.2%
- Pharmacology top 2%
- Food Science top 5%
- Co-authors
- Toshiya MuranakaKazuki SaitoKiyoshi OhyamaEry Odette FukushimaSatoru SawaiMasaharu MizutaniKeita TamuraToshio Aoki
- Topics
- Plant biochemistry and biosynthesis (42 papers)Pharmacological Effects of Natural Compounds (27 papers)Natural product bioactivities and synthesis (16 papers)
- Partner nations
- JapanEcuadorUnited States
In The Last Decade
Hikaru Seki
75 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 2.8k
- Plant Science 1.5k
- Pharmacology 723
- Pharmacology 467
- Food Science 217
Countries citing papers authored by Hikaru Seki
This map shows the geographic impact of Hikaru Seki'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 Hikaru Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hikaru Seki more than expected).
Fields of papers citing papers by Hikaru Seki
This network shows the impact of papers produced by Hikaru Seki. 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 Hikaru Seki. The network helps show where Hikaru Seki may publish in the future.
Co-authorship network of co-authors of Hikaru Seki
This figure shows the co-authorship network connecting the top 25 collaborators of Hikaru Seki. A scholar is included among the top collaborators of Hikaru Seki 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 Hikaru Seki. Hikaru Seki 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 | 1 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 84 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 111 | |
| 13 | 19 | |
| 14 | 235 | |
| 15 | 74 | |
| 16 | Nuclear Activity of MLA Immune Receptors Links Isolate-Specific and Basal Disease-Resistance Responsesbreakdown → | 577 |
| 17 | 103 | |
| 18 | Possible Involvement of AAAG Motif and PsDof1 in Elicitor-Induced Gene Expression in Pea | 2 |
| 19 | ISOLATION AND CHARACTERIZATION OF ELICITOR-RESPONSIVE GENES IN PEA | 1 |
| 20 | 12 |
About Hikaru Seki
Hikaru Seki is a scholar working on Pharmacology, Biotechnology and Biochemistry, having authored 77 papers that have together received 3.8k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (42 papers), Pharmacological Effects of Natural Compounds (27 papers) and Natural product bioactivities and synthesis (16 papers). The work is most often cited by research in Pharmacology (723 citations), Molecular Biology (2.8k citations) and Plant Science (1.5k citations). Hikaru Seki has collaborated with scholars based in Japan, Ecuador and United States. Frequent co-authors include Toshiya Muranaka, Kazuki Saito, Kiyoshi Ohyama, Ery Odette Fukushima, Satoru Sawai, Masaharu Mizutani, Keita Tamura, Toshio Aoki, Hiroshi Sudo and Paul Schulze‐Lefert. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.