Koh Iba
- Plant Science top 0.1%
- Molecular Biology top 1%
- Biochemistry top 0.2%
- Global and Planetary Change top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Kensuke KusumiHiroaki KodamaJuntaro NegiOsamu MatsudaJulian I. SchroederTakashi YaenoMimi HashimotoGorou Horiguchi
- Topics
- Photosynthetic Processes and Mechanisms (66 papers)Plant Stress Responses and Tolerance (36 papers)Lipid metabolism and biosynthesis (32 papers)
- Partner nations
- JapanUnited StatesIran
In The Last Decade
Koh Iba
115 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Plant Science 5.6k
- Molecular Biology 4.1k
- Biochemistry 1.2k
- Global and Planetary Change 400
- Ecology, Evolution, Behavior and Systematics 210
Countries citing papers authored by Koh Iba
This map shows the geographic impact of Koh Iba'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 Koh Iba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koh Iba more than expected).
Fields of papers citing papers by Koh Iba
This network shows the impact of papers produced by Koh Iba. 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 Koh Iba. The network helps show where Koh Iba may publish in the future.
Co-authorship network of co-authors of Koh Iba
This figure shows the co-authorship network connecting the top 25 collaborators of Koh Iba. A scholar is included among the top collaborators of Koh Iba 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 Koh Iba. Koh Iba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 31 | |
| 4 | 3 | |
| 5 | 110 | |
| 6 | Reconstitution of abscisic acid activation of SLAC1 anion channel by CPK6 and OST1 kinases and branched ABI1 PP2C phosphatase actionbreakdown → | 361 |
| 7 | 40 | |
| 8 | 25 | |
| 9 | 367 | |
| 10 | 215 | |
| 11 | 14 | |
| 12 | 15 | |
| 13 | 103 | |
| 14 | IDENTIFICATION OF FUNCTIONAL REGION OF PLASTIDIAL ω-3 FATTY ACID DESATURASE GENE (FAD8) AFFECTING TEMPERATURE-REGULATED EXPRESSION | 0 |
| 15 | 67 | |
| 16 | A VIRESCENT MUTATION v_1 UPSETS THE PROPER TIMING OF EXPRESSION OF PLASTID GENES rpoB, rps7 and rps15 DURING CHLOROPLAST DEVELOPMENT IN RICE | 1 |
| 17 | 17 | |
| 18 | 137 | |
| 19 | 32 | |
| 20 | 7 |
About Koh Iba
Koh Iba is a scholar working on Biochemistry, Plant Science and Molecular Biology, having authored 117 papers that have together received 7.2k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (66 papers), Plant Stress Responses and Tolerance (36 papers) and Lipid metabolism and biosynthesis (32 papers). The work is most often cited by research in Biochemistry (1.2k citations), Plant Science (5.6k citations) and Molecular Biology (4.1k citations). Koh Iba has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Kensuke Kusumi, Hiroaki Kodama, Juntaro Negi, Osamu Matsuda, Julian I. Schroeder, Takashi Yaeno, Mimi Hashimoto, Gorou Horiguchi, Mimi Hashimoto‐Sugimoto and Takumi Nishiuchi. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.