Kun‐Ta Chou

2.3k citations
82 papers · 1.7k indexed · h-index 25

Kun‐Ta Chou

76 papers receiving 1.6k citations

Peers

Kun‐Ta Chou
Comparison fields: 5 of 118
  • Endocrine and Autonomic Systems 189
  • Physiology 586
  • Pulmonary and Respiratory Medicine 615
  • Critical Care and Intensive Care Medicine 96
  • Immunology and Allergy 73
Replace Vincent Yi‐Fong Su with:
Vincent Yi‐Fong Su Taiwan
Diahn‐Warng Perng Taiwan
Yvonne F. Heijdra Netherlands
Donato Lacedonia Italy
M Hetzel United Kingdom
Jenny Ngai Hong Kong
Taro Kojima Japan
Anthony M.‐H. Ho Hong Kong
Wan‐Leong Chan Taiwan
Anuradhaa Subramanian United Kingdom
Kun‐Ta Chou relative to Vincent Yi‐Fong Su Taiwan Vincent Yi‐Fong Su's profile →
Citations per field
00.5×2.8×
Vincent Yi‐Fong Su · 1×
Citations per year

Countries citing papers authored by Kun‐Ta Chou

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Ta Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20222
4 202215
5 20229
6 202022
7 202010
8 201941
9 20196
10 201637
11 201625
12 20153
13 201490
14 201216
15 201123
16 201026
17 201075
18 201016
19
Cross-reference maximum likelihood reconstruction for positron emission tomography with empiric studies
20011
20 199316

About Kun‐Ta Chou

Kun‐Ta Chou is a scholar working on Physiology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (21 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (18 papers), Asthma and respiratory diseases (18 papers), Respiratory Support and Mechanisms (14 papers), Neuroscience of respiration and sleep (9 papers), Lung Cancer Treatments and Mutations (8 papers), Sleep and Wakefulness Research (7 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (189 citations), Physiology (586 citations) and Pulmonary and Respiratory Medicine (615 citations). Kun‐Ta Chou has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tzeng‐Ji Chen, Vincent Yi‐Fong Su, Yuh-Min Chen, Wei‐Juin Su, Diahn-Warng Perng, Yuh‐Min Chen, Diahn‐Warng Perng, Kang‐Cheng Su, Chia‐Jen Liu and Yung‐Tai Chen. Their work appears in journals such as Respirology, European Journal of Clinical Investigation, Scientific Reports, Journal of Thoracic Oncology and The American Journal of 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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