Chi-Nga Chow
Impact in
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- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
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- Plant and Fungal Interactions Research
Papers in
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- Plant Gene Expression Analysis 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 1
- Plant biochemistry and biosynthesis 1
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- Plant Molecular Biology Research 3
- Chromosomal and Genetic Variations 1
- Co-authors
- Wen‐Chi Chang (6 shared papers)Chien-Wen Yang (3 shared papers)Tzong-Yi Lee (3 shared papers)Song‐Bin Chang (2 shared papers)Mingjun Wang (1 shared paper)Pingfu Hou (1 shared paper)Pamela Dunn (1 shared paper)Joshua D. Podlevsky (1 shared paper)
- Journals
- Computational and Structural Biotechnology Journal (2 papers)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Plant and Cell Physiology (1 paper)Journal of Experimental Botany (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chi-Nga Chow
7 papers receiving 103 citations
Peers
Comparison fields: 5 of 25
- Plant Science 69
- Endocrinology 9
- Molecular Biology 64
- Cancer Research 5
- Biochemistry 2
Countries citing papers authored by Chi-Nga Chow
This map shows the geographic impact of Chi-Nga Chow'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 Chi-Nga Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Nga Chow more than expected).
Fields of papers citing papers by Chi-Nga Chow
This network shows the impact of papers produced by Chi-Nga Chow. 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 Chi-Nga Chow. The network helps show where Chi-Nga Chow may publish in the future.
Co-authors
The 10 scholars most cited alongside Chi-Nga Chow, 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 | 2023 | 69 | |
| 2 | 2020 | 11 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2025 | 1 |
About Chi-Nga Chow
Chi-Nga Chow is a scholar working on Molecular Biology, Plant Science, Physiology, Endocrinology and Cancer Research, having authored 7 papers that have together received 104 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (3 papers), Plant Gene Expression Analysis (2 papers), Genomics and Chromatin Dynamics (2 papers), Plant and Fungal Interactions Research (1 paper), Epigenetics and DNA Methylation (1 paper), Plant biochemistry and biosynthesis (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Plant Science (69 citations), Endocrinology (9 citations), Molecular Biology (64 citations), Cancer Research (5 citations) and Biochemistry (2 citations). Chi-Nga Chow has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wen‐Chi Chang, Chien-Wen Yang, Tzong-Yi Lee, Song‐Bin Chang, Mingjun Wang, Pingfu Hou, Pamela Dunn, Joshua D. Podlevsky, Julian J.‐L. Chen and Tianxiang Liu. Their work appears in journals such as Computational and Structural Biotechnology Journal, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Plant and Cell Physiology and Journal of Experimental Botany.
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.