Yi‐Fang Tsay
- Plant Science top 0.1%
- Molecular Biology top 5%
- Computer Networks and Communications top 1%
- Agronomy and Crop Science top 2%
- Food Science top 5%
- Co-authors
- Yayun WangKun-Hsiang LiuCheng-Hsun HoShanhua LinPo‐Kai HsuHeng-Cheng HuKuo‐En ChenNigel M. Crawford
- Topics
- Plant nutrient uptake and metabolism (36 papers)Plant Molecular Biology Research (28 papers)Plant Stress Responses and Tolerance (10 papers)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Yi‐Fang Tsay
42 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Plant Science 7.2k
- Molecular Biology 1.7k
- Computer Networks and Communications 904
- Agronomy and Crop Science 339
- Food Science 280
Countries citing papers authored by Yi‐Fang Tsay
This map shows the geographic impact of Yi‐Fang Tsay'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 Yi‐Fang Tsay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Fang Tsay more than expected).
Fields of papers citing papers by Yi‐Fang Tsay
This network shows the impact of papers produced by Yi‐Fang Tsay. 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 Yi‐Fang Tsay. The network helps show where Yi‐Fang Tsay may publish in the future.
Co-authorship network of co-authors of Yi‐Fang Tsay
This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Fang Tsay. A scholar is included among the top collaborators of Yi‐Fang Tsay 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 Yi‐Fang Tsay. Yi‐Fang Tsay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 16 | |
| 3 | 99 | |
| 4 | 86 | |
| 5 | 156 | |
| 6 | Using membrane transporters to improve crops for sustainable food productionbreakdown → | 370 |
| 7 | Uptake, allocation and signaling of nitratebreakdown → | 530 |
| 8 | 273 | |
| 9 | 96 | |
| 10 | 268 | |
| 11 | CHL1 Functions as a Nitrate Sensor in Plantsbreakdown → | 1009 |
| 12 | 396 | |
| 13 | 272 | |
| 14 | 161 | |
| 15 | 71 | |
| 16 | 414 | |
| 17 | 34 | |
| 18 | The herbicide sensitivity gene CHL1 of arabidopsis encodes a nitrate-inducible nitrate transporterbreakdown → | 630 |
| 19 | 79 | |
| 20 | 26 |
About Yi‐Fang Tsay
Yi‐Fang Tsay is a scholar working on Plant Science, Computer Networks and Communications and Molecular Biology, having authored 43 papers that have together received 8.1k indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (36 papers), Plant Molecular Biology Research (28 papers) and Plant Stress Responses and Tolerance (10 papers). The work is most often cited by research in Plant Science (7.2k citations), Computer Networks and Communications (904 citations) and Agronomy and Crop Science (339 citations). Yi‐Fang Tsay has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Yayun Wang, Kun-Hsiang Liu, Cheng-Hsun Ho, Shanhua Lin, Po‐Kai Hsu, Heng-Cheng Hu, Kuo‐En Chen, Nigel M. Crawford, Chi-Ying Huang and Yu-Hsuan Cheng. Their work appears in journals such as Nature, Science and Cell.
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.