Lianhan Shang
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- Nosocomial Infections in ICU 3
- Neurology top 5%
- Long-Term Effects of COVID-19 3
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 3
- Clinical Psychology top 10%
- COVID-19 and Mental Health 2
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- Respiratory viral infections research 7
- Pneumonia and Respiratory Infections 5
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lianhan Shang
18 papers receiving 596 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Critical Care and Intensive Care Medicine 149
- Neurology 375
- Infectious Diseases 275
- Clinical Psychology 190
- Applied Microbiology and Biotechnology 7
Countries citing papers authored by Lianhan Shang
This map shows the geographic impact of Lianhan Shang'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 Lianhan Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianhan Shang more than expected).
Fields of papers citing papers by Lianhan Shang
This network shows the impact of papers produced by Lianhan Shang. 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 Lianhan Shang. The network helps show where Lianhan Shang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lianhan Shang, 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 | 4 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 5 | |
| 8 | Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort studybreakdown → | 2022 | 354 |
| 9 | 2022 | 33 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 32 | |
| 15 | 2020 | 10 | |
| 16 | 2020 | 30 | |
| 17 | 2020 | 22 | |
| 18 | 2020 | 28 | |
| 19 | 2020 | 10 |
About Lianhan Shang
Lianhan Shang is a scholar working on Critical Care and Intensive Care Medicine, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 616 indexed citations. Recurring topics across this work include Respiratory viral infections research (7 papers), COVID-19 Clinical Research Studies (7 papers), Pneumonia and Respiratory Infections (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Nosocomial Infections in ICU (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Long-Term Effects of COVID-19 (3 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (149 citations), Neurology (375 citations) and Infectious Diseases (275 citations). Lianhan Shang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Cao, Xiaoying Gu, Yeming Wang, Lixue Huang, Dan Cui, Xueyang Zhang, Yimin Wang, Xinming Wang, Jianwei Wang and Li Guo. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.
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.