Chia-Cheng Kan
Impact in
- Plant Science top 5%
- Plant nutrient uptake and metabolism
- Plant Molecular Biology Research
- Wheat and Barley Genetics and Pathology
- Plant Stress Responses and Tolerance
- Rice Cultivation and Yield Improvement
- Legume Nitrogen Fixing Symbiosis
- Genetics and Plant Breeding
Papers in
-
- Plant nutrient uptake and metabolism 4
- Phytoplasmas and Hemiptera pathogens 3
- Legume Nitrogen Fixing Symbiosis 3
- Wheat and Barley Genetics and Pathology 2
- Plant Virus Research Studies 2
- Genetics and Plant Breeding 2
- Plant Pathogenic Bacteria Studies 2
- Genetics 2
- Genetic Mapping and Diversity in Plants and Animals 2
- Co-authors
- Ming‐Hsiun Hsieh (5 shared papers)Ping‐Han Hsieh (2 shared papers)Carol Powers (2 shared papers)Liuling Yan (2 shared papers)Haiyan Jia (2 shared papers)Brett F. Carver (2 shared papers)Tian Li (1 shared paper)Jizhong Wu (1 shared paper)
- Journals
- BMC Genomics (2 papers)International Journal of Molecular Sciences (2 papers)Scientific Reports (2 papers)Phytopathology (1 paper)Molecular Breeding (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Chia-Cheng Kan
10 papers receiving 468 citations
Peers
Comparison fields: 5 of 53
- Plant Science 421
- Agronomy and Crop Science 39
- Genetics 74
- Soil Science 15
- Molecular Biology 96
Countries citing papers authored by Chia-Cheng Kan
This map shows the geographic impact of Chia-Cheng Kan'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 Chia-Cheng Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Cheng Kan more than expected).
Fields of papers citing papers by Chia-Cheng Kan
This network shows the impact of papers produced by Chia-Cheng Kan. 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 Chia-Cheng Kan. The network helps show where Chia-Cheng Kan may publish in the future.
Co-authors
The 20 scholars most cited alongside Chia-Cheng Kan, 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 | 2022 | 108 | |
| 2 | 2015 | 107 | |
| 3 | 2017 | 96 | |
| 4 | 2018 | 89 | |
| 5 | 2017 | 38 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2015 | 4 |
About Chia-Cheng Kan
Chia-Cheng Kan is a scholar working on Plant Science, Genetics, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 472 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (4 papers), Phytoplasmas and Hemiptera pathogens (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Wheat and Barley Genetics and Pathology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant Virus Research Studies (2 papers), Genetics and Plant Breeding (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Plant Science (421 citations), Agronomy and Crop Science (39 citations), Genetics (74 citations), Soil Science (15 citations) and Molecular Biology (96 citations). Chia-Cheng Kan has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ming‐Hsiun Hsieh, Ping‐Han Hsieh, Carol Powers, Liuling Yan, Haiyan Jia, Brett F. Carver, Tian Li, Jizhong Wu, Wei Hua and Charles Chen. Their work appears in journals such as BMC Genomics, International Journal of Molecular Sciences, Scientific Reports, Phytopathology and Molecular Breeding.
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.