Xingchu Yan
- Plant Science top 10%
- Molecular Biology
- Pollution top 10%
- Immunology
- Genetics
- Co-authors
- Meilian TanZhenli HeXiaoe YangHuagang HuangNing YuDharmendra K. GuptaZhiqiang ZhuKai Wang
- Topics
- Toxin Mechanisms and Immunotoxins (6 papers)Sunflower and Safflower Cultivation (4 papers)Plant Gene Expression Analysis (3 papers)
- Cited by
- Plant SciencePollutionBiochemistry
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBioresource Technology
- Partner nations
- ChinaSpainUnited States
In The Last Decade
Xingchu Yan
18 papers receiving 339 citations
Peers
Comparison fields: 5 of 61
- Plant Science 235
- Molecular Biology 103
- Pollution 71
- Immunology 32
- Genetics 26
Countries citing papers authored by Xingchu Yan
This map shows the geographic impact of Xingchu Yan'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 Xingchu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingchu Yan more than expected).
Fields of papers citing papers by Xingchu Yan
This network shows the impact of papers produced by Xingchu Yan. 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 Xingchu Yan. The network helps show where Xingchu Yan may publish in the future.
Co-authorship network of co-authors of Xingchu Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Xingchu Yan. A scholar is included among the top collaborators of Xingchu Yan 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 Xingchu Yan. Xingchu Yan 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 | 8 | |
| 3 | 18 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 36 | |
| 7 | 29 | |
| 8 | 26 | |
| 9 | 18 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | Initial research on inflorescence characteristics and flower bud differentiation of Ricinus communis L. | 1 |
| 14 | Identification and Genetic Variation Analysis of Castor Bean Hybrid by SSR | 2 |
| 15 | Research progress on Perilla frutescens | 5 |
| 16 | Status of Special Oil Crops Germplasm Conservation in the World | 1 |
| 17 | 141 | |
| 18 | DNA extraction and establishment of SRAP reaction system in castor | 2 |
About Xingchu Yan
Xingchu Yan is a scholar working on Biochemistry, Plant Science and Immunology, having authored 18 papers that have together received 347 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (6 papers), Sunflower and Safflower Cultivation (4 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Plant Science (235 citations), Pollution (71 citations) and Biochemistry (16 citations). Xingchu Yan has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Meilian Tan, Zhenli He, Xiaoe Yang, Huagang Huang, Ning Yu, Dharmendra K. Gupta, Zhiqiang Zhu, Kai Wang, Lijun Wang and Tingqiang Li. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioresource Technology.
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.