Peng Wu
- Plant Science top 2%
- Molecular Biology top 10%
- Food Science top 10%
- Biochemistry top 5%
- Insect Science top 10%
- Topics
- Plant Molecular Biology Research (19 papers)Plant Gene Expression Analysis (16 papers)Plant nutrient uptake and metabolism (10 papers)
- Cited by
- Plant ScienceBiochemistry
- Partner nations
- ChinaUnited StatesMaldives
In The Last Decade
Peng Wu
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Plant Science 834
- Molecular Biology 739
- Food Science 127
- Biochemistry 126
- Insect Science 97
Countries citing papers authored by Peng Wu
This map shows the geographic impact of Peng 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 Peng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wu more than expected).
Fields of papers citing papers by Peng Wu
This network shows the impact of papers produced by Peng 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 Peng Wu. The network helps show where Peng Wu may publish in the future.
Co-authorship network of co-authors of Peng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wu. A scholar is included among the top collaborators of Peng 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 Peng Wu. Peng 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 23 | |
| 12 | Comparison of fruit nutritional traits of major cultivars of Chinese cherry (Prunus pseudocerasus Lindl.). | 1 |
| 13 | Principal component analysis and fuzzy comprehensive evaluation of fruit quality in cultivars of cherry. | 7 |
| 14 | DISCUSSION ON ATTENUATION CHARACTERISTICS,SITE RESPONSE AND MAGNITUDE DETERMINATION IN SICHUAN | 9 |
| 15 | [Gene Mutation Spectrum Analysis of 170 Patients with Duchenne/Bayesian Muscular Dystrophy in Southwest of China]. | 1 |
| 16 | Mixed major gene and polygene inheritance analysis of fruit hardness in Citrullus lanatus | 0 |
| 17 | 20 | |
| 18 | 34 | |
| 19 | Scheduling irrigation for jujube (Ziziphus jujuba Mill.) | 7 |
| 20 | Identification and analysis of resistance to powdery mildew and rust in some wheat germplasm resources. | 1 |
About Peng Wu
Peng Wu is a scholar working on Plant Science, Biochemistry and Molecular Biology, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (19 papers), Plant Gene Expression Analysis (16 papers) and Plant nutrient uptake and metabolism (10 papers). The work is most often cited by research in Plant Science (834 citations), Biochemistry (126 citations) and Biochemistry (76 citations). Peng Wu has collaborated with scholars based in China, United States and Maldives. Frequent co-authors include Xilin Hou, Wenli Wang, Ying Li, Xiaoming Song, Weike Duan, Ai‐Sheng Xiong, Jun Tang, Yongxia Xu, Xilin Hou and Xinkai Zhu. Their work appears in journals such as PLANT PHYSIOLOGY, Scientific Reports and The Plant Journal.
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.