Eiko Seki
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Molecular Biology top 10%
- Plant Gene Expression Analysis
- RNA and protein synthesis mechanisms
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- RNA and protein synthesis mechanisms 14
- RNA modifications and cancer 5
- Photosynthetic Processes and Mechanisms 4
- Plant Gene Expression Analysis 3
- Protein Structure and Dynamics 3
- Cancer-related gene regulation 3
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- Plant Molecular Biology Research 5
- Co-authors
- Shigeyuki Yokoyama (27 shared papers)T. Kigawa (21 shared papers)Takashi Yabuki (18 shared papers)Makoto Inoue (15 shared papers)Takayoshi Matsuda (16 shared papers)Masaaki Aoki (15 shared papers)Mikako Shirouzu (17 shared papers)Takaho Terada (16 shared papers)
In The Last Decade
Eiko Seki
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Plant Science 565
- Molecular Biology 998
- Horticulture 5
- Genetics 106
- Biotechnology 26
Countries citing papers authored by Eiko Seki
This map shows the geographic impact of Eiko 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 Eiko Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiko Seki more than expected).
Fields of papers citing papers by Eiko Seki
This network shows the impact of papers produced by Eiko 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 Eiko Seki. The network helps show where Eiko Seki may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiko Seki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 239 | |
| 2 | 2005 | 188 | |
| 3 | 2004 | 108 | |
| 4 | 2010 | 92 | |
| 5 | 2007 | 77 | |
| 6 | 2005 | 73 | |
| 7 | 2007 | 63 | |
| 8 | 2008 | 55 | |
| 9 | 2006 | 54 | |
| 10 | 2019 | 43 | |
| 11 | 2007 | 40 | |
| 12 | 2006 | 37 | |
| 13 | 2006 | 33 | |
| 14 | 2020 | 29 | |
| 15 | 2008 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2007 | 22 | |
| 18 | 2009 | 17 | |
| 19 | 2005 | 15 | |
| 20 | 2018 | 14 |
About Eiko Seki
Eiko Seki is a scholar working on Molecular Biology, Plant Science, Genetics, Cell Biology and Materials Chemistry, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (14 papers), Plant Molecular Biology Research (5 papers), Bacterial Genetics and Biotechnology (5 papers), RNA modifications and cancer (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant Gene Expression Analysis (3 papers), Protein Structure and Dynamics (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Plant Science (565 citations), Molecular Biology (998 citations), Horticulture (5 citations), Genetics (106 citations) and Biotechnology (26 citations). Eiko Seki has collaborated with scholars based in Japan, Germany and Italy. Frequent co-authors include Shigeyuki Yokoyama, T. Kigawa, Takashi Yabuki, Makoto Inoue, Takayoshi Matsuda, Masaaki Aoki, Mikako Shirouzu, Takaho Terada, Akiko Tanaka and Kazuhiko Yamasaki. Their work appears in journals such as Protein Science, Journal of Molecular Biology, The Plant Cell, Structure and International Journal of Molecular Sciences.
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.