Yuan‐Yuan Kang

2.3k citations
48 papers · 1.4k indexed · 1 hit paper · h-index 13
Topics
Blood Pressure and Hypertension Studies (21 papers)Cardiovascular Health and Disease Prevention (11 papers)Heart Rate Variability and Autonomic Control (10 papers)

In The Last Decade

Yuan‐Yuan Kang

47 papers receiving 1.4k citations

Hit Papers

The J-Curve Phenomenon in Hypertension20162026201920222016250500750

Peers

Yuan‐Yuan Kang
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 926
  • Endocrinology, Diabetes and Metabolism 392
  • Surgery 238
  • Nutrition and Dietetics 163
  • Epidemiology 133
Replace Alberto Mazza with:
Alberto Mazza Italy
Fang‐Fei Wei Belgium
Ningling Sun China
Lara M. Simpson United States
Sang‐Hyun Ihm South Korea
Joachim Schrader Germany
Qi‐Fang Huang China
Mihai Gheorghiade United States
Athanasios Manolis Greece
Rosario Scaglione Italy
Yuan‐Yuan Kang relative to Alberto Mazza Italy Alberto Mazza's profile →
Citations per field
00.5×2.5×
Alberto Mazza · 1×
Citations per year

Countries citing papers authored by Yuan‐Yuan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Yuan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Yuan Kang. 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 Yuan‐Yuan Kang. The network helps show where Yuan‐Yuan Kang may publish in the future.

Co-authorship network of co-authors of Yuan‐Yuan Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Yuan Kang. A scholar is included among the top collaborators of Yuan‐Yuan Kang 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 Yuan‐Yuan Kang. Yuan‐Yuan Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 7
5 2
6 4
7 1
8 6
9 5
10 41
11 14
12 3
13
The J-Curve Phenomenon in Hypertensionbreakdown →
888
14 4
15 37
16 1
17 4
18 4
19 10
20 41

About Yuan‐Yuan Kang

Yuan‐Yuan Kang is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Endocrine and Autonomic Systems, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (21 papers), Cardiovascular Health and Disease Prevention (11 papers) and Heart Rate Variability and Autonomic Control (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (926 citations), Endocrinology, Diabetes and Metabolism (392 citations) and Nephrology (111 citations). Yuan‐Yuan Kang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Ji‐Guang Wang, Yan Li, Qi‐Fang Huang, Chang‐Sheng Sheng, Fang‐Fei Wei, Ming Liu, Jie Song, Lu Zhang, Lihua Li and Xiaochun Yang. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Acta Materialia.

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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