Yimeng Liu
- Epidemiology
- Infectious Diseases top 10%
- Ecology top 10%
- Molecular Biology
- Immunology
- Co-authors
- Quanyi WangDaitao ZhangXiaomin PengGuilan LuShujuan CuiWeixian ShiPeng YangLiangbiao Chen
- Topics
- Physiological and biochemical adaptations (9 papers)Influenza Virus Research Studies (8 papers)Viral gastroenteritis research and epidemiology (6 papers)
- Journals
- New England Journal of MedicineJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Yimeng Liu
57 papers receiving 849 citations
Peers
Comparison fields: 5 of 118
- Epidemiology 159
- Infectious Diseases 158
- Ecology 154
- Molecular Biology 135
- Immunology 106
Countries citing papers authored by Yimeng Liu
This map shows the geographic impact of Yimeng Liu'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 Yimeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yimeng Liu more than expected).
Fields of papers citing papers by Yimeng Liu
This network shows the impact of papers produced by Yimeng Liu. 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 Yimeng Liu. The network helps show where Yimeng Liu may publish in the future.
Co-authorship network of co-authors of Yimeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yimeng Liu. A scholar is included among the top collaborators of Yimeng Liu 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 Yimeng Liu. Yimeng Liu 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 | 28 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | The epidemiological and etiological features of human adenovirus outbreaks among children in Beijing in 2016. | 1 |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 13 | |
| 14 | 15 | |
| 15 | 7 | |
| 16 | [Study on the superantigen gene profiles of group A Streptococcus isolated from children in Beijing, 2014]. | 1 |
| 17 | 1 | |
| 18 | 40 | |
| 19 | 53 | |
| 20 | 9 |
About Yimeng Liu
Yimeng Liu is a scholar working on Infectious Diseases, Agronomy and Crop Science and Health, Toxicology and Mutagenesis, having authored 64 papers that have together received 860 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (9 papers), Influenza Virus Research Studies (8 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Aquatic Science (95 citations), Infectious Diseases (158 citations) and Health, Toxicology and Mutagenesis (85 citations). Yimeng Liu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Quanyi Wang, Daitao Zhang, Xiaomin Peng, Guilan Lu, Shujuan Cui, Weixian Shi, Peng Yang, Liangbiao Chen, Changwei Hu and Mei Li. Their work appears in journals such as New England Journal of Medicine, Journal of the American Chemical Society and Nucleic Acids Research.
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.