Jiangping Song
- Plant Science top 5%
- Molecular Biology
- Genetics
- Biochemistry top 10%
- Ecology, Evolution, Behavior and Systematics
- Topics
- Plant Molecular Biology Research (16 papers)Garlic and Onion Studies (14 papers)Plant Gene Expression Analysis (10 papers)
In The Last Decade
Jiangping Song
61 papers receiving 902 citations
Peers
Comparison fields: 5 of 86
- Plant Science 666
- Molecular Biology 559
- Genetics 114
- Biochemistry 73
- Ecology, Evolution, Behavior and Systematics 56
Countries citing papers authored by Jiangping Song
This map shows the geographic impact of Jiangping Song'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 Jiangping Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangping Song more than expected).
Fields of papers citing papers by Jiangping Song
This network shows the impact of papers produced by Jiangping Song. 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 Jiangping Song. The network helps show where Jiangping Song may publish in the future.
Co-authorship network of co-authors of Jiangping Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangping Song. A scholar is included among the top collaborators of Jiangping Song 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 Jiangping Song. Jiangping Song 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 23 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 48 | |
| 13 | 57 | |
| 14 | 3 | |
| 15 | Field Evaluation of Resistances to Low Temperature in Core Collections of Cucumber Germplasm | 2 |
| 16 | Application of in Vitro Conservation Technique in Vegetative Vegetable Germplasm Resources | 1 |
| 17 | Identification of Resistance of Allium sativum L. Germplasm Resources to Delia antique M. | 1 |
| 18 | Genetic diversity analyses of Cucumis sativus L. var. xishuangbannanesis population based on SSR markers | 1 |
| 19 | Studies on the Methods of Constructing Chinese Cabbage Core Germplasm Based on the Morphological Data | 2 |
| 20 | RAPD Analysis of Genetic Diversity in Taro in Yunnan Province | 1 |
About Jiangping Song
Jiangping Song is a scholar working on Horticulture, Plant Science and Biochemistry, having authored 66 papers that have together received 924 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (16 papers), Garlic and Onion Studies (14 papers) and Plant Gene Expression Analysis (10 papers). The work is most often cited by research in Horticulture (36 citations), Plant Science (666 citations) and Biochemistry (73 citations). Jiangping Song has collaborated with scholars based in China, Denmark and Egypt. Frequent co-authors include Xixiang Li, Haiping Wang, Xiaohui Zhang, Yang Qiu, Di Shen, Tongjin Liu, Jinglei Wang, Mengmeng Duan, Wenlong Yang and Yuyan Sun. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.
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.