Simeng Liang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 2
- Co-authors
- Yucheng Zheng (3 shared papers)Ke Xu (1 shared paper)Kun Wei Song (1 shared paper)Jiajia Ye (1 shared paper)Shiliang Li (1 shared paper)Ke Lan (2 shared papers)Yu Zheng Chen (1 shared paper)Ming-liang Tang (1 shared paper)
- Journals
- Viruses (2 papers)Journal of the American Chemical Society (1 paper)Science Translational Medicine (1 paper)Opto-Electronic Advances (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Simeng Liang
9 papers receiving 349 citations
Simeng Liang's Hit Papers
Peers
Comparison fields: 5 of 66
- Infectious Diseases 190
- Modeling and Simulation 21
- Epidemiology 136
- Animal Science and Zoology 23
- Immunology 35
Countries citing papers authored by Simeng Liang
This map shows the geographic impact of Simeng Liang'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 Simeng Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simeng Liang more than expected).
Fields of papers citing papers by Simeng Liang
This network shows the impact of papers produced by Simeng Liang. 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 Simeng Liang. The network helps show where Simeng Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Simeng Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Coinfection with influenza A virus enhances SARS-CoV-2 infectivity Hit paper breakdown → | 2021 | 222 |
| 2 | 2022 | 48 | |
| 3 | 2023 | 28 | |
| 4 | 2022 | 19 | |
| 5 | 2023 | 14 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 10 | |
| 8 | 2019 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2026 | 0 |
About Simeng Liang
Simeng Liang is a scholar working on Infectious Diseases, Speech and Hearing, Control and Systems Engineering, Molecular Biology and Animal Science and Zoology, having authored 10 papers that have together received 356 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Iterative Learning Control Systems (2 papers), Control Systems in Engineering (2 papers), Infection Control and Ventilation (1 paper), CRISPR and Genetic Engineering (1 paper), vaccines and immunoinformatics approaches (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (190 citations), Modeling and Simulation (21 citations), Epidemiology (136 citations), Animal Science and Zoology (23 citations) and Immunology (35 citations). Simeng Liang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yucheng Zheng, Ke Xu, Kun Wei Song, Jiajia Ye, Shiliang Li, Ke Lan, Yu Zheng Chen, Ming-liang Tang, Li Zhou and Dabing Li. Their work appears in journals such as Viruses, Journal of the American Chemical Society, Science Translational Medicine, Opto-Electronic Advances and Emerging Microbes & Infections.
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.