Ching-chia Yang
Impact in
- Plant Science top 5%
- Rice Cultivation and Yield Improvement
- Plant Molecular Biology Research
- GABA and Rice Research
- Chromosomal and Genetic Variations
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Genomics and Phylogenetic Studies 6
- Gut microbiota and health 2
- Ecology 5
- Microbial Community Ecology and Physiology 5
- Environmental DNA in Biodiversity Studies 2
- Co-authors
- Wataru Iwasaki (5 shared papers)Sira Sriswasdi (1 shared paper)Takeshi Itoh (4 shared papers)Takashi Matsumoto (3 shared papers)Hisataka Numa (3 shared papers)Hiroaki Sakai (2 shared papers)Toshimichi Ikemura (1 shared paper)Yoshihiro Kawahara (1 shared paper)
- Journals
- Gene (2 papers)PLoS ONE (1 paper)Molecular Ecology Resources (1 paper)Database (1 paper)Plant and Cell Physiology (1 paper)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Ching-chia Yang
11 papers receiving 982 citations
Ching-chia Yang's Hit Papers
Peers
Comparison fields: 5 of 90
- Plant Science 531
- Genetics 290
- Molecular Biology 450
- Ecology 169
- Insect Science 41
Countries citing papers authored by Ching-chia Yang
This map shows the geographic impact of Ching-chia Yang'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 Ching-chia Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-chia Yang more than expected).
Fields of papers citing papers by Ching-chia Yang
This network shows the impact of papers produced by Ching-chia Yang. 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 Ching-chia Yang. The network helps show where Ching-chia Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching-chia Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Rice Annotation Project Database (RAP-DB): An Integrative and Interactive Database for Rice Genomics Hit paper breakdown → | 2013 | 606 |
| 2 | 2017 | 185 | |
| 3 | 2016 | 76 | |
| 4 | 2011 | 50 | |
| 5 | 2020 | 23 | |
| 6 | 2014 | 22 | |
| 7 | 2019 | 14 | |
| 8 | 2011 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2009 | 3 | |
| 11 | 2024 | 2 |
About Ching-chia Yang
Ching-chia Yang is a scholar working on Molecular Biology, Ecology, Genetics, Plant Science and Insect Science, having authored 11 papers that have together received 992 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), GABA and Rice Research (2 papers), Gut microbiota and health (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Silkworms and Sericulture Research (2 papers) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Plant Science (531 citations), Genetics (290 citations), Molecular Biology (450 citations), Ecology (169 citations) and Insect Science (41 citations). Ching-chia Yang has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Wataru Iwasaki, Sira Sriswasdi, Takeshi Itoh, Takashi Matsumoto, Hisataka Numa, Hiroaki Sakai, Toshimichi Ikemura, Yoshihiro Kawahara, Masao Iwamoto and Hachiro Inokuchi. Their work appears in journals such as Gene, PLoS ONE, Molecular Ecology Resources, Database and Plant and Cell Physiology.
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.