Liwei Gao
- Infectious Diseases top 5%
- Parvovirus B19 Infection Studies 3
- Obstetrics and Gynecology top 5%
- Modeling and Simulation top 5%
- Clinical Psychology top 10%
- Microbiology top 10%
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- Viral-associated cancers and disorders 5
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- Respiratory viral infections research 4
- Pneumonia and Respiratory Infections 3
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- Plant Molecular Biology Research 4
- Plant Stress Responses and Tolerance 3
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- Immune Cell Function and Interaction 3
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- Autoimmune and Inflammatory Disorders Research 3
In The Last Decade
Liwei Gao
19 papers receiving 907 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Infectious Diseases 392
- Obstetrics and Gynecology 108
- Modeling and Simulation 48
- Clinical Psychology 124
- Microbiology 36
Countries citing papers authored by Liwei Gao
This map shows the geographic impact of Liwei Gao'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 Liwei Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liwei Gao more than expected).
Fields of papers citing papers by Liwei Gao
This network shows the impact of papers produced by Liwei Gao. 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 Liwei Gao. The network helps show where Liwei Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liwei Gao, 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 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 17 | |
| 9 | Diagnosis, treatment, and prevention of 2019 novel coronavirus infection in children: experts’ consensus statementbreakdown → | 2020 | 548 |
| 10 | 2019 | 83 | |
| 11 | 2019 | 21 | |
| 12 | 2018 | 9 | |
| 13 | 2018 | 40 | |
| 14 | 2017 | 32 | |
| 15 | 2017 | 8 | |
| 16 | 2016 | 44 | |
| 17 | [Research Advances in Target Genes of Epstein-Barr Virus-encoded MicroRNAs]. | 2016 | 0 |
| 18 | 2015 | 36 | |
| 19 | [Characteristic of nuclear antigen 1 gene and latent membrane protein 1 gene of Epstein-Barr virus in primary EBV infection in children in Beijing area in 2005-2010]. | 2012 | 2 |
| 20 | 2010 | 37 |
About Liwei Gao
Liwei Gao is a scholar working on Transplantation, Infectious Diseases and Hematology, having authored 24 papers that have together received 938 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), Respiratory viral infections research (4 papers), Plant Molecular Biology Research (4 papers), Plant Stress Responses and Tolerance (3 papers), Pneumonia and Respiratory Infections (3 papers), Parvovirus B19 Infection Studies (3 papers), Immune Cell Function and Interaction (3 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). The work is most often cited by research in Infectious Diseases (392 citations), Obstetrics and Gynecology (108 citations) and Modeling and Simulation (48 citations). Liwei Gao has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Kunling Shen, Zhengde Xie, Baoping Xu, Yunxiao Shang, Jikui Deng, Yuejie Zheng, Leping Ye, Runming Jin, Dongchi Zhao and Xiaoxia Lü. Their work appears in journals such as Plant Molecular Biology, British Journal of Haematology and Plant Science.
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.