Hongkai Wu
- Plant Science top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Genetics
- Agronomy and Crop Science
- Co-authors
- Chengcai ChuChengzhen LiangYiqin WangBin HuJiuyou TangLinchuan LiuJinfang ChuXiaohong Sun
- Topics
- Plant Molecular Biology Research (4 papers)Food composition and properties (3 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsInternational Journal of Molecular Sciences
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Hongkai Wu
15 papers receiving 813 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Plant Science 729
- Molecular Biology 399
- Endocrine and Autonomic Systems 82
- Genetics 49
- Agronomy and Crop Science 23
Countries citing papers authored by Hongkai Wu
This map shows the geographic impact of Hongkai Wu'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 Hongkai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongkai Wu more than expected).
Fields of papers citing papers by Hongkai Wu
This network shows the impact of papers produced by Hongkai Wu. 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 Hongkai Wu. The network helps show where Hongkai Wu may publish in the future.
Co-authorship network of co-authors of Hongkai Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Hongkai Wu. A scholar is included among the top collaborators of Hongkai Wu 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 Hongkai Wu. Hongkai Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 17 | |
| 7 | 9 | |
| 8 | 283 | |
| 9 | OsNAP connects abscisic acid and leaf senescence by fine-tuning abscisic acid biosynthesis and directly targeting senescence-associated genes in ricebreakdown → | 422 |
| 10 | 19 | |
| 11 | Relationship between lipid and flour viscosity characteristics in rice (Oryza sativa L.). | 1 |
| 12 | Relationship between protein composition and total protein content and starch RVA profile properties in rice. | 6 |
| 13 | 18 | |
| 14 | 4 | |
| 15 | 15 |
About Hongkai Wu
Hongkai Wu is a scholar working on Plant Science, Agronomy and Crop Science and Nutrition and Dietetics, having authored 15 papers that have together received 821 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Food composition and properties (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Plant Science (729 citations), Endocrine and Autonomic Systems (82 citations) and Molecular Biology (399 citations). Hongkai Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chengcai Chu, Chengzhen Liang, Yiqin Wang, Bin Hu, Jiuyou Tang, Linchuan Liu, Jinfang Chu, Xiaohong Sun, Shujun Ou and Yana Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and International Journal of Molecular Sciences.
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.