Huan Liu
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 16
- COVID-19 Clinical Research Studies 9
- Neurology top 2%
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 3
- Modeling and Simulation top 2%
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- Inflammasome and immune disorders 10
- Ubiquitin and proteasome pathways 7
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- interferon and immune responses 5
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- Respiratory viral infections research 4
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- Cytokine Signaling Pathways and Interactions 4
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Huan Liu
60 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Infectious Diseases 2.5k
- Neurology 572
- Animal Science and Zoology 295
- Modeling and Simulation 127
- Radiology, Nuclear Medicine and Imaging 526
Countries citing papers authored by Huan Liu
This map shows the geographic impact of Huan 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 Huan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huan Liu more than expected).
Fields of papers citing papers by Huan Liu
This network shows the impact of papers produced by Huan 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 Huan Liu. The network helps show where Huan Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huan Liu, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 3 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 30 | |
| 12 | 2020 | 99 | |
| 13 | 2020 | 241 | |
| 14 | Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsiesbreakdown → | 2020 | 645 |
| 15 | The Impact of Mutations in SARS-CoV-2 Spike on Viral Infectivity and Antigenicitybreakdown → | 2020 | 957 |
| 16 | 2019 | 1 | |
| 17 | 2018 | 42 | |
| 18 | 2017 | 40 | |
| 19 | 2012 | 59 | |
| 20 | 2008 | 122 |
About Huan Liu
Huan Liu is a scholar working on Infectious Diseases, Immunology and Sensory Systems, having authored 65 papers that have together received 4.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), Inflammasome and immune disorders (10 papers), COVID-19 Clinical Research Studies (9 papers), Ubiquitin and proteasome pathways (7 papers), interferon and immune responses (5 papers), Respiratory viral infections research (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Neurology (572 citations) and Animal Science and Zoology (295 citations). Huan Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sufang Tian, Li Niu, Meiyan Liao, Yong Xiong, Jianchun Guo, Shu‐Yuan Xiao, Qiyu Sun, Lingling Nie, Qiong Lu and Youchun Wang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.