Tie Song
- Infectious Diseases top 2%
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 0.5%
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Min KangJianfeng HeYonghui ZhangJianpeng XiaoChangwen KeJian HangHualiang LinHaojie Zhong
- Topics
- COVID-19 epidemiological studies (18 papers)Mosquito-borne diseases and control (18 papers)Viral Infections and Vectors (18 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tie Song
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Infectious Diseases 853
- Public Health, Environmental and Occupational Health 522
- Modeling and Simulation 361
- Epidemiology 335
- Pulmonary and Respiratory Medicine 260
Countries citing papers authored by Tie Song
This map shows the geographic impact of Tie 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 Tie Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie Song more than expected).
Fields of papers citing papers by Tie Song
This network shows the impact of papers produced by Tie 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 Tie Song. The network helps show where Tie Song may publish in the future.
Co-authorship network of co-authors of Tie Song
This figure shows the co-authorship network connecting the top 25 collaborators of Tie Song. A scholar is included among the top collaborators of Tie 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 Tie Song. Tie 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 | 7 | |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 1 | |
| 11 | 70 | |
| 12 | 56 | |
| 13 | 3 | |
| 14 | 22 | |
| 15 | 48 | |
| 16 | 13 | |
| 17 | 11 | |
| 18 | 43 | |
| 19 | [Current infection status and epidemic risk analysis of Dengue fever and Chikungunya in Guangdong province, from 1990 to 2012]. | 7 |
| 20 | 8 |
About Tie Song
Tie Song is a scholar working on Modeling and Simulation, Infectious Diseases and Agronomy and Crop Science, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Mosquito-borne diseases and control (18 papers) and Viral Infections and Vectors (18 papers). The work is most often cited by research in Modeling and Simulation (361 citations), Infectious Diseases (853 citations) and Public Health, Environmental and Occupational Health (522 citations). Tie Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Min Kang, Jianfeng He, Yonghui Zhang, Jianpeng Xiao, Changwen Ke, Jian Hang, Hualiang Lin, Haojie Zhong, Aiping Deng and Jinyan Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.