Ming-Cheng Chan

1.6k citations
50 papers · 1.1k · h-index 18

Impact in

Papers in

Ming-Cheng Chan

46 papers receiving 1.1k citations

Peers

Ming-Cheng Chan
Comparison fields: 5 of 98
  • Critical Care and Intensive Care Medicine 145
  • Molecular Medicine 91
  • Pulmonary and Respiratory Medicine 459
  • Applied Microbiology and Biotechnology 23
  • Emergency Medicine 78
Replace Cosimo Chelazzi with:
Cosimo Chelazzi Italy
Manuel Lois United States
Andrea Carsetti Italy
Nicolas Nesseler France
Mohammad Taghi Beigmohammadi Iran
Markus A. Weigand Germany
Jeng‐Yuan Hsu Taiwan
Peter Pickkers France
Gökay Güngör Türkiye
Elisabetta Marangoni Italy
Ming-Cheng Chan relative to Cosimo Chelazzi Italy Cosimo Chelazzi's profile →
Citations per field
00.5×2×4×5.7×
Cosimo Chelazzi · 1×
Citations per year

Countries citing papers authored by Ming-Cheng Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Ming-Cheng Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming-Cheng Chan Line = papers co-authored together Ming-Cheng Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014207
2 200776
3 201176
4 201570
5 201851
6 200950
7 202445
8 202036
9 200832
10 202132
11 202132
12 201829
13 200727
14 200626
15 202223
16 201822
17 202321
18 202219
19 202217
20 200914

About Ming-Cheng Chan

Ming-Cheng Chan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Medicine, Epidemiology, Critical Care and Intensive Care Medicine and Pharmacology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (10 papers), Antibiotic Resistance in Bacteria (7 papers), Sepsis Diagnosis and Treatment (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Nosocomial Infections in ICU (3 papers), Pneumonia and Respiratory Infections (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (145 citations), Molecular Medicine (91 citations), Pulmonary and Respiratory Medicine (459 citations), Applied Microbiology and Biotechnology (23 citations) and Emergency Medicine (78 citations). Ming-Cheng Chan has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chieh‐Liang Wu, Wen‐Cheng Chao, Jeng‐Yuan Hsu, Benjamin Ing-Tiau Kuo, Hao‐Chien Wang, Kuang‐Yao Yang, Chau‐Chyun Sheu, Shih-Lung Cheng, Matteo Parotto and Chong‐Jen Yu. Their work appears in journals such as Respirology, International Journal of COPD, Frontiers in Medicine, Respiratory Care and Annals of Intensive Care.

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.

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