Sibei Chen
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Respiratory Support and Mechanisms 6
-
- Intensive Care Unit Cognitive Disorders 3
- Co-authors
- Yimin Li (22 shared papers)Xiaoqing Liu (4 shared papers)Yonghao Xu (16 shared papers)Lingbo Nong (11 shared papers)Yongbo Huang (9 shared papers)Mengqin Chen (2 shared papers)Weiqun He (18 shared papers)Zhiwei Gan (2 shared papers)
- Journals
- Chemosphere (2 papers)PLoS ONE (2 papers)Critical Care (2 papers)Frontiers in Medicine (2 papers)Bioresources and Bioprocessing (1 paper)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Sibei Chen
35 papers receiving 557 citations
Peers
Comparison fields: 5 of 107
- Critical Care and Intensive Care Medicine 40
- Infectious Diseases 149
- Neurology 94
- Pollution 79
- Health, Toxicology and Mutagenesis 83
Countries citing papers authored by Sibei Chen
This map shows the geographic impact of Sibei Chen'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 Sibei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sibei Chen more than expected).
Fields of papers citing papers by Sibei Chen
This network shows the impact of papers produced by Sibei Chen. 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 Sibei Chen. The network helps show where Sibei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sibei Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 127 | |
| 2 | 2019 | 73 | |
| 3 | 2020 | 64 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 18 | |
| 8 | 2016 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2015 | 12 | |
| 14 | [Death risk factors of severe acute respiratory syndrome with acute respiratory distress syndrome]. | 2003 | 12 |
| 15 | 2020 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2016 | 7 |
About Sibei Chen
Sibei Chen is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Information Systems, Artificial Intelligence and Infectious Diseases, having authored 37 papers that have together received 562 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (6 papers), Intensive Care Unit Cognitive Disorders (3 papers), Cardiac Arrest and Resuscitation (2 papers), Mechanical Circulatory Support Devices (2 papers), Helminth infection and control (2 papers), Topic Modeling (2 papers), Transplantation: Methods and Outcomes (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (40 citations), Infectious Diseases (149 citations), Neurology (94 citations), Pollution (79 citations) and Health, Toxicology and Mutagenesis (83 citations). Sibei Chen has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Yimin Li, Xiaoqing Liu, Yonghao Xu, Lingbo Nong, Yongbo Huang, Mengqin Chen, Weiqun He, Zhiwei Gan, Jianxing He and Wenjun Wang. Their work appears in journals such as Chemosphere, PLoS ONE, Critical Care, Frontiers in Medicine and Bioresources and Bioprocessing.
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.