Chin‐Kuo Lin

428 citations
32 papers · 282 · h-index 10

Impact in

Papers in

Chin‐Kuo Lin

31 papers receiving 276 citations

Peers

Chin‐Kuo Lin
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 17
  • Pulmonary and Respiratory Medicine 77
  • Critical Care and Intensive Care Medicine 10
  • Human-Computer Interaction 11
  • Physiology 39
Replace Vanessa F. Borges with:
Vanessa F. Borges Brazil
Junping Sun China
Chou-Chin Lan Taiwan
J.G. Youssef United States
Hiroto Takiguchi Japan
Raluca Maltesen Denmark
Pasquale Tondo Italy
Li Lin China
Daqing Ma United Kingdom
Chin‐Kuo Lin relative to Vanessa F. Borges Brazil Vanessa F. Borges's profile →
Citations per field
00.5×1.5×2.1×
Vanessa F. Borges · 1×
Citations per year

Countries citing papers authored by Chin‐Kuo Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Kuo Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Kuo Lin. 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 Chin‐Kuo Lin. The network helps show where Chin‐Kuo Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201931
2
Epidermal growth factor receptor mutations in cells from non-small cell lung cancer malignant pleural effusions.
200625
3 201825
4 201121
5 202020
6 201619
7 202315
8 201615
9 201613
10 202211
11 20218
12 20198
13 20208
14 20217
15 20206
16 20225
17
Survey of asthmatic patients' sensitization to house dust mites in southwestern Taiwan.
20075
18 20215
19 20214
20 20244

About Chin‐Kuo Lin

Chin‐Kuo Lin is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Molecular Biology, Endocrine and Autonomic Systems and Epidemiology, having authored 32 papers that have together received 282 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (7 papers), Lung Cancer Treatments and Mutations (5 papers), Neuroscience of respiration and sleep (5 papers), Respiratory Support and Mechanisms (3 papers), Sepsis Diagnosis and Treatment (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Cancer-related cognitive impairment studies (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (17 citations), Pulmonary and Respiratory Medicine (77 citations), Critical Care and Intensive Care Medicine (10 citations), Human-Computer Interaction (11 citations) and Physiology (39 citations). Chin‐Kuo Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Cheng‐Ta Yang, Yu‐Ching Lin, Ying‐Huang Tsai, Chung‐Sheng Shi, Meng‐Jer Hsieh, Ming‐Szu Hung, Tsung‐Ming Yang, Yao‐Hsu Yang, Yiling Yang and Ning‐Hung Chen. Their work appears in journals such as PLoS ONE, Scientific Reports, Applied Sciences, Cancer Biotherapy and Radiopharmaceuticals and Biochemical Pharmacology.

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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