Ching‐Lung Liu

472 citations
21 papers · 334 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
    • Long-Term Effects of COVID-19

Papers in

Ching‐Lung Liu

20 papers receiving 322 citations

Peers

Ching‐Lung Liu
Comparison fields: 5 of 78
  • Infectious Diseases 167
  • Neurology 38
  • Immunology 53
  • Modeling and Simulation 10
  • Animal Science and Zoology 19
Replace Wern Hann Ng with:
Wern Hann Ng Australia
Shu-qing Zhong China
Joo-Yeon Lee South Korea
Yuchong Li China
Wolfgang Hoepler Austria
A. H. Newton United States
Yuliang Zhan China
Marcos Jessé Abrahão Silva Brazil
Kamla Kant India
Saghar Barati Iran
Ching‐Lung Liu relative to Wern Hann Ng Australia Wern Hann Ng's profile →
Citations per field
00.5×10.3×
Wern Hann Ng · 1×
Citations per year

Countries citing papers authored by Ching‐Lung Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Lung Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Lung Liu. 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 Ching‐Lung Liu. The network helps show where Ching‐Lung Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ching‐Lung Liu, 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 Ching‐Lung Liu Line = papers co-authored together Ching‐Lung Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005103
2 200553
3 200453
4 200642
5 200813
6 202110
7 202010
8 20069
9 20227
10 20055
11 20204
12 20204
13 20094
14 20233
15 20203
16 20213
17 20093
18 20173
19 20191
20 20231

About Ching‐Lung Liu

Ching‐Lung Liu is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Infectious Diseases, Epidemiology and Surgery, having authored 21 papers that have together received 334 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Inflammation biomarkers and pathways (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Coastal wetland ecosystem dynamics (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (167 citations), Neurology (38 citations), Immunology (53 citations), Modeling and Simulation (10 citations) and Animal Science and Zoology (19 citations). Ching‐Lung Liu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yen‐Ta Lu, Hsu-Tah Kuo, Han-Pin Kuo, Jeng‐Min Chiou, Ih‐Jen Su, Chwan‐Chuen King, Mei‐Shang Ho, Wei‐Ju Chen, Shan‐Chwen Chang and Hour‐Young Chen. Their work appears in journals such as CHEST Journal, Journal of Emergency Medicine, PROTEOMICS - CLINICAL APPLICATIONS, Journal of Asthma and Respiratory 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.

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