Yi Tan
- Modeling and Simulation top 2%
- Materials Chemistry
- Infectious Diseases
- Electrical and Electronic Engineering
- Molecular Biology
- Topics
- COVID-19 epidemiological studies (11 papers)SARS-CoV-2 and COVID-19 Research (5 papers)COVID-19 and Mental Health (5 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Yi Tan
29 papers receiving 437 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 120
- Materials Chemistry 117
- Infectious Diseases 96
- Electrical and Electronic Engineering 91
- Molecular Biology 63
Countries citing papers authored by Yi Tan
This map shows the geographic impact of Yi Tan'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 Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Tan more than expected).
Fields of papers citing papers by Yi Tan
This network shows the impact of papers produced by Yi Tan. 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 Tan. The network helps show where Yi Tan may publish in the future.
Co-authorship network of co-authors of Yi Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Yi Tan. A scholar is included among the top collaborators of Yi Tan 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 Tan. Yi Tan 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 | 10 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 20 | |
| 14 | 15 | |
| 15 | 32 | |
| 16 | 6 | |
| 17 | 15 | |
| 18 | 16 | |
| 19 | 56 | |
| 20 | 13 |
About Yi Tan
Yi Tan is a scholar working on Modeling and Simulation, Infectious Diseases and Catalysis, having authored 30 papers that have together received 453 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 and Mental Health (5 papers). The work is most often cited by research in Modeling and Simulation (120 citations), Virology (45 citations) and Health (51 citations). Yi Tan has collaborated with scholars based in China, Canada and France. Frequent co-authors include Wei Deng, Hao Wu, Pei Yuan, Huaiping Zhu, Shengliang Zhai, Lanju Sun, Jacques Bélair, Wei Zhou, Li Yang and Nicholas H. Ogden. Their work appears in journals such as Angewandte Chemie International Edition, 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.