Chun‐Ta Huang

3.1k citations
93 papers · 2.3k · h-index 28

Impact in

Papers in

    • Respiratory Support and Mechanisms 11
    • Lung Cancer Diagnosis and Treatment 10
    • Chronic Obstructive Pulmonary Disease (COPD) Research 8
    • Pleural and Pulmonary Diseases 5
    • Mycobacterium research and diagnosis 7
    • Sepsis Diagnosis and Treatment 5

Chun‐Ta Huang

88 papers receiving 2.2k citations

Peers

Chun‐Ta Huang
Comparison fields: 5 of 131
  • Critical Care and Intensive Care Medicine 120
  • Pulmonary and Respiratory Medicine 799
  • Infectious Diseases 261
  • Epidemiology 433
  • Microbiology 9
Replace Amit Chopra with:
Amit Chopra United States
Christoph Henzen Switzerland
Robert F. Lodato United States
İsmail Cinel Türkiye
Demosthènes Makris Greece
Yung‐Tai Chen Taiwan
M. J. Brown United Kingdom
Jason Lazar United States
Vladimír Kvetan United States
Manuel Quintana Spain
Chun‐Ta Huang relative to Amit Chopra United States Amit Chopra's profile →
Citations per field
00.5×3.3×
Amit Chopra · 1×
Citations per year

Countries citing papers authored by Chun‐Ta Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Ta Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Ta Huang. 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 Chun‐Ta Huang. The network helps show where Chun‐Ta Huang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012114
2 201298
3 200997
4 201489
5 201487
6 202184
7 201482
8 201461
9 201660
10 201758
11 200957
12 201054
13 200954
14 201652
15 201851
16 201250
17 201946
18 201345
19 201439
20 200939

About Chun‐Ta Huang

Chun‐Ta Huang is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Physiology, Infectious Diseases and Surgery, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Respiratory Support and Mechanisms (11 papers), Lung Cancer Diagnosis and Treatment (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Mycobacterium research and diagnosis (7 papers), Tuberculosis Research and Epidemiology (6 papers), Sepsis Diagnosis and Treatment (5 papers) and Pleural and Pulmonary Diseases (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (120 citations), Pulmonary and Respiratory Medicine (799 citations), Infectious Diseases (261 citations), Epidemiology (433 citations) and Microbiology (9 citations). Chun‐Ta Huang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yi‐Ju Tsai, Chong‐Jen Yu, Sheng‐Yuan Ruan, Chao‐Chi Ho, Feipei Lai, Pan‐Chyr Yang, Wen‐Je Ko, Te‐Wei Ho, June‐Horng Lue and Ping‐Hung Kuo. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Pulmonary Medicine, Medicine and Critical 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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