Kun‐Qi Yang

1.1k citations
51 papers · 739 · h-index 16

Impact in

Papers in

    • Ion Transport and Channel Regulation 13
    • Ion channel regulation and function 4
    • Adrenal and Paraganglionic Tumors 4
    • Cardiac Structural Anomalies and Repair 3

Kun‐Qi Yang

48 papers receiving 724 citations

Peers

Kun‐Qi Yang
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 203
  • Endocrinology, Diabetes and Metabolism 103
  • Pulmonary and Respiratory Medicine 192
  • Nephrology 37
  • Health, Toxicology and Mutagenesis 61
Replace Ryu Matsuo with:
Ryu Matsuo Japan
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Fang Luo China
Keqiang Wang China
Yumiko Hiura Japan
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Franca S. Angeli United States
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Citations per field
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Citations per year

Countries citing papers authored by Kun‐Qi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Qi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 201559
3 201539
4 201735
5 201732
6 201431
7 201430
8 201328
9 201626
10 201725
11 201724
12 201422
13 201822
14 201521
15 201817
16 201616
17 201715
18 201615
19 201715
20 201414

About Kun‐Qi Yang

Kun‐Qi Yang is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 51 papers that have together received 739 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (13 papers), Cardiomyopathy and Myosin Studies (11 papers), Vasculitis and related conditions (6 papers), Hormonal Regulation and Hypertension (6 papers), Genetic Syndromes and Imprinting (5 papers), Ion channel regulation and function (4 papers), Adrenal and Paraganglionic Tumors (4 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (203 citations), Endocrinology, Diabetes and Metabolism (103 citations), Pulmonary and Respiratory Medicine (192 citations), Nephrology (37 citations) and Health, Toxicology and Mutagenesis (61 citations). Kun‐Qi Yang has collaborated with scholars based in China and United States. Frequent co-authors include Yan-Kun Yang, Xianliang Zhou, Xu Meng, Peng Fan, Xian‐Liang Zhou, Xianliang Zhou, Yan Xiao, Linggen Gao, Yaxin Liu and Tao Tian. Their work appears in journals such as The American Journal of the Medical Sciences, Kidney & Blood Pressure Research, American Journal of Hypertension, Clinica Chimica Acta and Journal of Translational 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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