Boyun Liang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
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- Hepatitis C virus research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 6
- Viral Infections and Vectors 4
- Viral Infections and Outbreaks Research 2
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- Long-Term Effects of COVID-19 4
- Co-authors
- Dongliang Yang (11 shared papers)Baoju Wang (6 shared papers)Mengji Lu (5 shared papers)Sumeng Li (8 shared papers)Jia Liu (6 shared papers)Sihong Lu (8 shared papers)Xin Zheng (7 shared papers)Ulf Dittmer (5 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Chemistry & Biodiversity (1 paper)Critical Care Medicine (1 paper)EBioMedicine (1 paper)Annals of Medicine (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Boyun Liang
14 papers receiving 199 citations
Peers
Comparison fields: 5 of 39
- Infectious Diseases 162
- Hepatology 18
- Modeling and Simulation 9
- Immunology 24
- Neurology 15
Countries citing papers authored by Boyun Liang
This map shows the geographic impact of Boyun 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 Boyun Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boyun Liang more than expected).
Fields of papers citing papers by Boyun Liang
This network shows the impact of papers produced by Boyun 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 Boyun Liang. The network helps show where Boyun Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Boyun 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 | 2021 | 54 | |
| 2 | 2021 | 42 | |
| 3 | 2020 | 23 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2024 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2025 | 0 |
About Boyun Liang
Boyun Liang is a scholar working on Infectious Diseases, Neurology, Epidemiology, Pharmacology and Health, having authored 15 papers that have together received 204 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (4 papers), Viral Infections and Vectors (4 papers), Hepatitis B Virus Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Diabetes Management and Research (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Infectious Diseases (162 citations), Hepatology (18 citations), Modeling and Simulation (9 citations), Immunology (24 citations) and Neurology (15 citations). Boyun Liang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Dongliang Yang, Baoju Wang, Mengji Lu, Sumeng Li, Jia Liu, Sihong Lu, Xin Zheng, Ulf Dittmer, Hua Wang and Mirko Trilling. Their work appears in journals such as Frontiers in Immunology, Chemistry & Biodiversity, Critical Care Medicine, EBioMedicine and Annals of 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.