Kan Yang

54 total papers · 696 total citations
36 papers, 572 citations indexed

About

Kan Yang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Kan Yang has authored 36 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Kan Yang's work include Blood Pressure and Hypertension Studies (9 papers), Renin-Angiotensin System Studies (5 papers) and Heart Rate Variability and Autonomic Control (5 papers). Kan Yang is often cited by papers focused on Blood Pressure and Hypertension Studies (9 papers), Renin-Angiotensin System Studies (5 papers) and Heart Rate Variability and Autonomic Control (5 papers). Kan Yang collaborates with scholars based in China, United States and Poland. Kan Yang's co-authors include Rui Zhang, Weihong Jiang, Yongfeng Zhao, Xiaohong Tang, Xiaoyan Wang, Mao Ouyang, Lihua Tan, Pingting Yang, Zhiheng Chen and Wei Chen and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Cellular Biochemistry and The American Journal of the Medical Sciences.

In The Last Decade

Kan Yang

33 papers receiving 564 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kan Yang	274	208	100	93	67	36	572
Xianmin Meng	286 1.0×	193 0.9×	85 0.8×	46 0.5×	84 1.3×	42	592
Panagiota K. Stampouloglou	155 0.6×	205 1.0×	65 0.7×	125 1.3×	61 0.9×	23	534
Yangjing Xue	145 0.5×	225 1.1×	61 0.6×	54 0.6×	109 1.6×	36	613
Xuyu He	306 1.1×	183 0.9×	87 0.9×	80 0.9×	68 1.0×	29	560
Wei Ou	194 0.7×	277 1.3×	77 0.8×	67 0.7×	76 1.1×	38	664
Konstantinos Mourouzis	206 0.8×	210 1.0×	44 0.4×	48 0.5×	134 2.0×	38	652
Sumit Kar	241 0.9×	256 1.2×	49 0.5×	49 0.5×	80 1.2×	18	594
Mark Aplin	334 1.2×	366 1.8×	53 0.5×	53 0.6×	62 0.9×	31	647
Jason L. Guichard	343 1.3×	147 0.7×	47 0.5×	46 0.5×	83 1.2×	27	561
Yan Deng	240 0.9×	234 1.1×	31 0.3×	74 0.8×	78 1.2×	37	652

Countries citing papers authored by Kan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Kan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Yang. A scholar is included among the top collaborators of Kan Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kan Yang. Kan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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