Yu‐Haey Kuo
- Plant Science top 2%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Food Science top 5%
- Nutrition and Dietetics top 5%
- Co-authors
- Fernand LambeinPascale RozanJuana Frı́asFumio IkegamiJehangir K. KhanConcepción Vidal-ValverdeMarc Van MontaguC. Vidal‐Valverde
- Topics
- Genetic and Environmental Crop Studies (20 papers)Botanical Research and Chemistry (16 papers)Plant Molecular Biology Research (9 papers)
In The Last Decade
Yu‐Haey Kuo
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Plant Science 1.1k
- Molecular Biology 405
- Ecology, Evolution, Behavior and Systematics 339
- Food Science 297
- Nutrition and Dietetics 202
Countries citing papers authored by Yu‐Haey Kuo
This map shows the geographic impact of Yu‐Haey Kuo'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 Yu‐Haey Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Haey Kuo more than expected).
Fields of papers citing papers by Yu‐Haey Kuo
This network shows the impact of papers produced by Yu‐Haey Kuo. 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 Yu‐Haey Kuo. The network helps show where Yu‐Haey Kuo may publish in the future.
Co-authorship network of co-authors of Yu‐Haey Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Haey Kuo. A scholar is included among the top collaborators of Yu‐Haey Kuo 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 Yu‐Haey Kuo. Yu‐Haey Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 127 | |
| 2 | Lathyrus sativus: to eat or not to eat? | 1 |
| 3 | 14 | |
| 4 | Progress in prevention of toxico-nutritional neurodegenerations | 8 |
| 5 | 22 | |
| 6 | 21 | |
| 7 | Nutritional improvement of grass pea and cassava to prevent neurolathyrism and konzo | 1 |
| 8 | 22 | |
| 9 | 22 | |
| 10 | 5 | |
| 11 | 56 | |
| 12 | 99 | |
| 13 | 12 | |
| 14 | 11 | |
| 15 | 63 | |
| 16 | 43 | |
| 17 | 9 | |
| 18 | Toxic noncoding amino acids in the genus Lathyrus | 1 |
| 19 | 19 | |
| 20 | 33 |
About Yu‐Haey Kuo
Yu‐Haey Kuo is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Food Science, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and Environmental Crop Studies (20 papers), Botanical Research and Chemistry (16 papers) and Plant Molecular Biology Research (9 papers). The work is most often cited by research in Plant Science (1.1k citations), Ecology, Evolution, Behavior and Systematics (339 citations) and Food Science (297 citations). Yu‐Haey Kuo has collaborated with scholars based in Belgium, Japan and Ethiopia. Frequent co-authors include Fernand Lambein, Pascale Rozan, Juana Frı́as, Fumio Ikegami, Jehangir K. Khan, Concepción Vidal-Valverde, Marc Van Montagu, C. Vidal‐Valverde, Isabel Sierra and I. Blázquez. Their work appears in journals such as PLANT PHYSIOLOGY, Journal of Agricultural and Food Chemistry 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.