Ming-Cheng Chan
- Pulmonary and Respiratory Medicine top 10%
- Critical Care and Intensive Care Medicine top 2%
- Emergency Medicine top 5%
- Epidemiology
- Biomedical Engineering
- Co-authors
- Jordi ManceboLuciano GattinoniManeesh SudFederico PolliSachin SudJan O. FriedrichG. VoggenreiterPascal Beuret
- Topics
- Respiratory Support and Mechanisms (7 papers)Sepsis Diagnosis and Treatment (7 papers)Intensive Care Unit Cognitive Disorders (4 papers)
- Cited by
- Critical Care and Intensive Care MedicineEmergency MedicinePulmonary and Respiratory Medicine
- Partner nations
- TaiwanUnited StatesCzechia
In The Last Decade
Ming-Cheng Chan
19 papers receiving 529 citations
Peers
Comparison fields: 5 of 71
- Pulmonary and Respiratory Medicine 367
- Critical Care and Intensive Care Medicine 172
- Emergency Medicine 165
- Epidemiology 127
- Biomedical Engineering 80
Countries citing papers authored by Ming-Cheng Chan
This map shows the geographic impact of Ming-Cheng Chan'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 Ming-Cheng Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Cheng Chan more than expected).
Fields of papers citing papers by Ming-Cheng Chan
This network shows the impact of papers produced by Ming-Cheng Chan. 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 Ming-Cheng Chan. The network helps show where Ming-Cheng Chan may publish in the future.
Co-authorship network of co-authors of Ming-Cheng Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Cheng Chan. A scholar is included among the top collaborators of Ming-Cheng Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming-Cheng Chan. Ming-Cheng Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 47 | |
| 13 | 52 | |
| 14 | 5 | |
| 15 | 16 | |
| 16 | 19 | |
| 17 | 15 | |
| 18 | 349 | |
| 19 | 0 | |
| 20 | Features of severe pneumonia in patients with undiagnosed pulmonary tuberculosis in an intensive care unit. | 12 |
About Ming-Cheng Chan
Ming-Cheng Chan is a scholar working on Critical Care and Intensive Care Medicine, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 21 papers that have together received 544 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (7 papers), Sepsis Diagnosis and Treatment (7 papers) and Intensive Care Unit Cognitive Disorders (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (172 citations), Emergency Medicine (165 citations) and Pulmonary and Respiratory Medicine (367 citations). Ming-Cheng Chan has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Jordi Mancebo, Luciano Gattinoni, Maneesh Sud, Federico Polli, Sachin Sud, Jan O. Friedrich, G. Voggenreiter, Pascal Beuret, Neill K. J. Adhikari and Rafael Fernández. Their work appears in journals such as PLoS ONE, Scientific Reports and Intensive Care Medicine.
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.