Yukako Chiba
- Plant Science top 1%
- Molecular Biology top 10%
- Geochemistry and Petrology top 2%
- Ecology, Evolution, Behavior and Systematics top 10%
- Neurology
- Co-authors
- Jian FengNaoki YamajiNamiki MitaniSatoshi NaitoHitoshi OnouchiJunji YamaguchiPamela J. GreenTakeo Sato
- Topics
- Plant Molecular Biology Research (12 papers)RNA Research and Splicing (10 papers)RNA and protein synthesis mechanisms (8 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yukako Chiba
53 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 89
- Plant Science 1.4k
- Molecular Biology 911
- Geochemistry and Petrology 221
- Ecology, Evolution, Behavior and Systematics 103
- Neurology 87
Countries citing papers authored by Yukako Chiba
This map shows the geographic impact of Yukako Chiba'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 Yukako Chiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukako Chiba more than expected).
Fields of papers citing papers by Yukako Chiba
This network shows the impact of papers produced by Yukako Chiba. 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 Yukako Chiba. The network helps show where Yukako Chiba may publish in the future.
Co-authorship network of co-authors of Yukako Chiba
This figure shows the co-authorship network connecting the top 25 collaborators of Yukako Chiba. A scholar is included among the top collaborators of Yukako Chiba 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 Yukako Chiba. Yukako Chiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 50 | |
| 5 | 12 | |
| 6 | 101 | |
| 7 | 4 | |
| 8 | 105 | |
| 9 | 26 | |
| 10 | 92 | |
| 11 | 47 | |
| 12 | 93 | |
| 13 | Cell therapy for pulmonary hypertension: What is the true potential of endothelial progenitor cells? Response | 2 |
| 14 | 60 | |
| 15 | 26 | |
| 16 | 40 | |
| 17 | 33 | |
| 18 | Plant gene register PGR 99-087. Nucleotide sequence polymorphisms in the cystathionine gamma -synthase gene of Arabidopsis (accession nos. AF039206 and AB010888) | 6 |
| 19 | [A new operative technique of posttraumatic syringomyelia: thecoperitoneal shunt]. | 5 |
| 20 | 24 |
About Yukako Chiba
Yukako Chiba is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), RNA Research and Splicing (10 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Geochemistry and Petrology (221 citations), Plant Science (1.4k citations) and Molecular Biology (911 citations). Yukako Chiba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jian Feng, Naoki Yamaji, Namiki Mitani, Satoshi Naito, Hitoshi Onouchi, Junji Yamaguchi, Pamela J. Green, Takeo Sato, Masami Yokota Hirai and Yuya Suzuki. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.