Yi Song
- Infectious Diseases top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Public Health, Environmental and Occupational Health
- Global and Planetary Change
- Sociology and Political Science
- Co-authors
- Jianbo ZhanBing HuQin WangFaxian ZhanDeyin GuoJing ChengJing LiYan Bing Zhang
- Topics
- Animal Virus Infections Studies (4 papers)Viral gastroenteritis research and epidemiology (3 papers)Viral Infections and Immunology Research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEnvironmental Pollution
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Song
14 papers receiving 285 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 204
- Ecology, Evolution, Behavior and Systematics 76
- Public Health, Environmental and Occupational Health 66
- Global and Planetary Change 60
- Sociology and Political Science 32
Countries citing papers authored by Yi Song
This map shows the geographic impact of Yi 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 Yi Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Song more than expected).
Fields of papers citing papers by Yi Song
This network shows the impact of papers produced by Yi 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 Yi Song. The network helps show where Yi Song may publish in the future.
Co-authorship network of co-authors of Yi Song
This figure shows the co-authorship network connecting the top 25 collaborators of Yi Song. A scholar is included among the top collaborators of Yi 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 Yi Song. Yi 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 | 3 | |
| 3 | 2 | |
| 4 | 26 | |
| 5 | 19 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 169 | |
| 10 | 4 | |
| 11 | 26 | |
| 12 | 8 | |
| 13 | Cultural Values in Chinese Children's Animation: A Content Analysis of The Legend of Nezha | 5 |
| 14 | [The bystander effect of HSV-tk/GCV system on human cervical carcinoma cell line ME180]. | 1 |
| 15 | 3 |
About Yi Song
Yi Song is a scholar working on Animal Science and Zoology, Infectious Diseases and Agronomy and Crop Science, having authored 15 papers that have together received 291 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Infectious Diseases (204 citations), Ecology, Evolution, Behavior and Systematics (76 citations) and Parasitology (24 citations). Yi Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianbo Zhan, Bing Hu, Qin Wang, Faxian Zhan, Deyin Guo, Jing Cheng, Jing Li, Yan Bing Zhang, Xinyu Zhou and Leesa Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Pollution.
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.