Mee Yeon Park
- Plant Science top 0.5%
- Molecular Biology top 5%
- Cancer Research
- Genetics
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- R. Scott PoethigGang WuDetlef WeigelJiawei WangSusan R. ConwayManabu YoshikawaAngela PeragineAlfredo Gonzalez‐Sulser
- Topics
- Plant Molecular Biology Research (10 papers)Photosynthetic Processes and Mechanisms (4 papers)Plant Reproductive Biology (4 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Mee Yeon Park
11 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Plant Science 3.3k
- Molecular Biology 2.3k
- Cancer Research 130
- Genetics 86
- Ecology, Evolution, Behavior and Systematics 83
Countries citing papers authored by Mee Yeon Park
This map shows the geographic impact of Mee Yeon Park'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 Mee Yeon Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mee Yeon Park more than expected).
Fields of papers citing papers by Mee Yeon Park
This network shows the impact of papers produced by Mee Yeon Park. 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 Mee Yeon Park. The network helps show where Mee Yeon Park may publish in the future.
Co-authorship network of co-authors of Mee Yeon Park
This figure shows the co-authorship network connecting the top 25 collaborators of Mee Yeon Park. A scholar is included among the top collaborators of Mee Yeon Park 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 Mee Yeon Park. Mee Yeon Park 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 | 52 | |
| 3 | 41 | |
| 4 | 77 | |
| 5 | 99 | |
| 6 | SAUR Inhibition of PP2C-D Phosphatases Activates Plasma Membrane H+-ATPases to Promote Cell Expansion in Arabidopsis breakdown → | 413 |
| 7 | 341 | |
| 8 | The Sequential Action of miR156 and miR172 Regulates Developmental Timing in Arabidopsisbreakdown → | 1311 |
| 9 | 100 | |
| 10 | A pathway for the biogenesis of trans-acting siRNAs in Arabidopsisbreakdown → | 574 |
| 11 | Nuclear processing and export of microRNAs in Arabidopsisbreakdown → | 512 |
About Mee Yeon Park
Mee Yeon Park is a scholar working on Transplantation, Plant Science and Molecular Biology, having authored 11 papers that have together received 3.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Photosynthetic Processes and Mechanisms (4 papers) and Plant Reproductive Biology (4 papers). The work is most often cited by research in Plant Science (3.3k citations), Molecular Biology (2.3k citations) and Endocrinology (65 citations). Mee Yeon Park has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include R. Scott Poethig, Gang Wu, Detlef Weigel, Jiawei Wang, Susan R. Conway, Manabu Yoshikawa, Angela Peragine, Alfredo Gonzalez‐Sulser, Hervé Vaucheret and William M. Gray. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.
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.