Mei‐Chu Chung
- Plant Science top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics
- Biotechnology
- Co-authors
- Yung‐I LeeEdward C. YeungNean LeeChun‐Neng WangYou‐Yi ChenWen‐Chieh TsaiHong‐Hwa ChenWei‐Ming Leu
- Topics
- Chromosomal and Genetic Variations (17 papers)Plant and animal studies (11 papers)Plant Reproductive Biology (10 papers)
- Partner nations
- TaiwanCanadaUnited States
In The Last Decade
Mei‐Chu Chung
44 papers receiving 827 citations
Peers
Comparison fields: 5 of 51
- Plant Science 696
- Molecular Biology 531
- Ecology, Evolution, Behavior and Systematics 250
- Genetics 84
- Biotechnology 47
Countries citing papers authored by Mei‐Chu Chung
This map shows the geographic impact of Mei‐Chu Chung'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 Mei‐Chu Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Chu Chung more than expected).
Fields of papers citing papers by Mei‐Chu Chung
This network shows the impact of papers produced by Mei‐Chu Chung. 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 Mei‐Chu Chung. The network helps show where Mei‐Chu Chung may publish in the future.
Co-authorship network of co-authors of Mei‐Chu Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Chu Chung. A scholar is included among the top collaborators of Mei‐Chu Chung 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 Mei‐Chu Chung. Mei‐Chu Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 47 | |
| 7 | 27 | |
| 8 | 19 | |
| 9 | Embryology of Phalaenopsis amabilis var. formosa: embryo development | 39 |
| 10 | Determining Genome Size and Ploidy in Morus by Flow Cytometry | 1 |
| 11 | 11 | |
| 12 | 40 | |
| 13 | A Repetitive Sequence Specific to Oryza Species with BB Genome and Abundant in Oryza punctata Kotschy ex Steud | 6 |
| 14 | 16 | |
| 15 | 57 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | Analysis of 5' region of glutelin genes from wild rice species | 2 |
| 19 | 5 | |
| 20 | Localization of ribosomal RNA genes on rice chromosomes | 5 |
About Mei‐Chu Chung
Mei‐Chu Chung is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 45 papers that have together received 872 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (17 papers), Plant and animal studies (11 papers) and Plant Reproductive Biology (10 papers). The work is most often cited by research in Plant Science (696 citations), Ecology, Evolution, Behavior and Systematics (250 citations) and Molecular Biology (531 citations). Mei‐Chu Chung has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Yung‐I Lee, Edward C. Yeung, Nean Lee, Chun‐Neng Wang, You‐Yi Chen, Wen‐Chieh Tsai, Hong‐Hwa Chen, Wei‐Ming Leu, Tiyun Wu and Hungchen Emilie Yen. Their work appears in journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.
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.