Kun‐Ta Yang

574 citations
26 papers · 480 · h-index 13

Impact in

Papers in

Kun‐Ta Yang

26 papers receiving 476 citations

Peers

Kun‐Ta Yang
Comparison fields: 5 of 81
  • Cancer Research 108
  • Pulmonary and Respiratory Medicine 141
  • Endocrine and Autonomic Systems 29
  • Geriatrics and Gerontology 12
  • Sensory Systems 14
Replace Wei Hui Yuan with:
Wei Hui Yuan China
Tingbo Li China
Guangchun Sun China
Giovanna Frazziano Spain
Sheng‐Wei Lai Taiwan
Jiyu Lou China
Zhenghang Zhao China
Shiyang Chang China
Yingna Li China
Eok-Cheon Kim South Korea
Kun‐Ta Yang relative to Wei Hui Yuan China Wei Hui Yuan's profile →
Citations per field
00.5×2×3×4×4.7×
Wei Hui Yuan · 1×
Citations per year

Countries citing papers authored by Kun‐Ta Yang

Since Specialization
Citations

This map shows the geographic impact of Kun‐Ta Yang'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 Yang 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 Yang more than expected).

Fields of papers citing papers by Kun‐Ta Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202265
2 201961
3 202256
4 202149
5 201228
6 201426
7 202322
8 200421
9 201821
10 200520
11 201416
12 201014
13 200113
14 201912
15 20219
16 20118
17 20228
18 20187
19 20156
20 20214

About Kun‐Ta Yang

Kun‐Ta Yang is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 26 papers that have together received 480 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Mitochondrial Function and Pathology (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Lipids, and Metabolism (3 papers), Obstructive Sleep Apnea Research (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cancer Research (108 citations), Pulmonary and Respiratory Medicine (141 citations), Endocrine and Autonomic Systems (29 citations), Geriatrics and Gerontology (12 citations) and Sensory Systems (14 citations). Kun‐Ta Yang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Jianhong Lin, Wen‐Sen Lee, Jui-Chih Chang, Chin‐Hung Liu, Hung‐Wen Chiu, Yu‐Cheng Hsu, Jing‐Ren Jeng, Huai-Ren Chang, Jui‐Chih Chang and Ming‐Jai Su. Their work appears in journals such as The FASEB Journal, Cellular Physiology and Biochemistry, Journal of Biomedical Science, European Journal of Pharmacology and The Journal of Physiology.

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.

Explore authors with similar magnitude of impact