Ke Liang
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 16
- COVID-19 Clinical Research Studies 16
- HIV/AIDS Research and Interventions 11
- Neurology top 2%
- Long-Term Effects of COVID-19 8
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction 4
- Modeling and Simulation top 5%
- Oncology top 10%
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- HIV, Drug Use, Sexual Risk 6
- Pneumocystis jirovecii pneumonia detection and treatment 3
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- Vaccine Coverage and Hesitancy 5
- Co-authors
- Shicheng GaoPingzheng MoYongxi ZhangMingqi LuoLiping DengYong XiongXiaoping ChenZhiyong Ma
- Journals
- BMC Infectious Diseases (5 papers)AIDS Research and Therapy (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ke Liang
43 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 1.0k
- Neurology 529
- Obstetrics and Gynecology 103
- Modeling and Simulation 51
- Oncology 241
Countries citing papers authored by Ke Liang
This map shows the geographic impact of Ke 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 Ke Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Liang more than expected).
Fields of papers citing papers by Ke Liang
This network shows the impact of papers produced by Ke 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 Ke Liang. The network helps show where Ke Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ke 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 12 | |
| 14 | Survival analysis of COVID-19 patients treated with different modes of respiratory support in the ICU | 2021 | 1 |
| 15 | 2020 | 25 | |
| 16 | 2020 | 12 | |
| 17 | 2012 | 1 | |
| 18 | 2011 | 44 | |
| 19 | 2011 | 6 | |
| 20 | 2009 | 32 |
About Ke Liang
Ke Liang is a scholar working on Infectious Diseases, Virology and Modeling and Simulation, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 Clinical Research Studies (16 papers), HIV/AIDS Research and Interventions (11 papers), Long-Term Effects of COVID-19 (8 papers), HIV, Drug Use, Sexual Risk (6 papers), Vaccine Coverage and Hesitancy (5 papers), COVID-19 Impact on Reproduction (4 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Neurology (529 citations) and Obstetrics and Gynecology (103 citations). Ke Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shicheng Gao, Pingzheng Mo, Yongxi Zhang, Mingqi Luo, Liping Deng, Yong Xiong, Xiaoping Chen, Zhiyong Ma, Shihui Song and Fan Wang. Their work appears in journals such as BMC Infectious Diseases, AIDS Research and Therapy, Frontiers in Immunology, AIDS Care and Frontiers in Public Health.
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.