Y S Liaw

18 papers receiving 369 citations

Peers

Y S Liaw
Comparison fields: 5 of 57
  • Pulmonary and Respiratory Medicine 203
  • Critical Care and Intensive Care Medicine 131
  • Epidemiology 116
  • Infectious Diseases 113
  • Surgery 95
Replace Costanza Canino with:
Costanza Canino Italy
Hasti Robbie United Kingdom
Yoshihiro Ohkuni Japan
Chi‐Der Chiang Taiwan
Sanjay Saini United States
EK Fishman United States
Abdul Haseeb Wani India
Christoph Klinger Germany
Klaus Hirschbühl Germany
G Casola United States
Y S Liaw relative to Costanza Canino Italy Costanza Canino's profile →
Citations per field
00.5×5.7×
Costanza Canino · 1×
Citations per year

Countries citing papers authored by Y S Liaw

Since Specialization
Citations

This map shows the geographic impact of Y S Liaw'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 Y S Liaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y S Liaw more than expected).

Fields of papers citing papers by Y S Liaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y S Liaw. 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 Y S Liaw. The network helps show where Y S Liaw may publish in the future.

Co-authorship network of co-authors of Y S Liaw

This figure shows the co-authorship network connecting the top 25 collaborators of Y S Liaw. A scholar is included among the top collaborators of Y S Liaw 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 Y S Liaw. Y S Liaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1
The effect of smoking on tuberculosis: different patterns and poorer outcomes.
39
2
Recognising tuberculosis in the lower lung field: an age- and sex-matched controlled study.
11
3
Variations in the NRAMP1 gene and susceptibility of tuberculosis in Taiwanese.
56
4 6
5 85
6
Clinical spectrum of acute respiratory distress syndrome in a tertiary referral hospital: etiology, severity, clinical course, and hospital outcome.
6
7
Constrictive pericarditis in patients with tuberculous pericarditis.
6
8 16
9
Diagnosis of pulmonary sequestration by magnetic resonance imaging.
3
10 3
11
Comparison of inflammatory cytokine concentration and physiologic parameters in septic shock.
6
12 21
13 23
14 32
15 47
16 7
17 19
18 5

About Y S Liaw

Y S Liaw is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 18 papers that have together received 391 indexed citations. Recurring topics across this work include Pleural and Pulmonary Diseases (4 papers), Tracheal and airway disorders (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (131 citations), Pulmonary and Respiratory Medicine (203 citations) and Infectious Diseases (113 citations). Y S Liaw has collaborated with scholars based in Taiwan. Frequent co-authors include Pan‐Chyr Yang, K T Luh, Sung‐Hsin Kuo, Chong‐Jen Yu, Hao‐Chien Wang, Li‐Na Lee, D B Chang, Ping‐Hung Kuo, Huey‐Dong Wu and Ruiyun Wu. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and Journal of Clinical Microbiology.

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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