Haiping Wang
- Plant Science top 5%
- Molecular Biology
- Genetics
- Clinical Psychology top 10%
- Immunology
- Co-authors
- Xixiang LiJiangping SongXiaohui ZhangYang QiuDi ShenFraser W. ScottHabiba ChakirDavid E. Lefebvre
- Topics
- Garlic and Onion Studies (19 papers)Plant Gene Expression Analysis (10 papers)Plant Disease Resistance and Genetics (10 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Haiping Wang
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 140
- Plant Science 688
- Molecular Biology 567
- Genetics 124
- Clinical Psychology 117
- Immunology 104
Countries citing papers authored by Haiping Wang
This map shows the geographic impact of Haiping Wang'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 Haiping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiping Wang more than expected).
Fields of papers citing papers by Haiping Wang
This network shows the impact of papers produced by Haiping Wang. 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 Haiping Wang. The network helps show where Haiping Wang may publish in the future.
Co-authorship network of co-authors of Haiping Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haiping Wang. A scholar is included among the top collaborators of Haiping Wang 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 Haiping Wang. Haiping Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 23 | |
| 12 | 13 | |
| 13 | 48 | |
| 14 | 57 | |
| 15 | 2 | |
| 16 | Impact of genetic factor and geographical location on allicin content of garlic (Allium sativum) germplasm from Egypt and China. | 9 |
| 17 | Genome-wide Analysis of SBP-box Gene Family and Molecular Cloning of Its Typical Members in Malus × domestica | 1 |
| 18 | Diversity and Genetic Structure of Garlic(Allium sativum L.) Germplasm Resource in China | 2 |
| 19 | 10 | |
| 20 | Pathogenicity analysis of different Botrytis cinerea strains in cucumber. | 1 |
About Haiping Wang
Haiping Wang is a scholar working on Horticulture, Plant Science and Biochemistry, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Garlic and Onion Studies (19 papers), Plant Gene Expression Analysis (10 papers) and Plant Disease Resistance and Genetics (10 papers). The work is most often cited by research in Horticulture (34 citations), Plant Science (688 citations) and Biochemistry (65 citations). Haiping Wang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Xixiang Li, Jiangping Song, Xiaohui Zhang, Yang Qiu, Di Shen, Fraser W. Scott, Habiba Chakir, David E. Lefebvre, John Webb and Yan Xia. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.