Yinkun Yan

102 papers receiving 2.2k citations

Hit Papers

Relationship of Alcohol Consumption to All-Cause, Cardiov...2017202620202023201750100150200250

Peers

Yinkun Yan
Comparison fields: 5 of 127
  • Public Health, Environmental and Occupational Health 898
  • Cardiology and Cardiovascular Medicine 617
  • Physiology 529
  • Pediatrics, Perinatology and Child Health 430
  • Epidemiology 350
Replace Dianjianyi Sun with:
Dianjianyi Sun China
Christina M. Shay United States
Nain‐Feng Chu Taiwan
Jia-Yi Dong China
Inkyung Baik South Korea
Margareta Norberg Sweden
Katja Pahkala Finland
Mitsumasa Umesawa Japan
Katsushi Yoshita Japan
Caren G. Solomon United States
Yinkun Yan relative to Dianjianyi Sun China Dianjianyi Sun's profile →
Citations per field
00.5×1.7×
Dianjianyi Sun · 1×
Citations per year

Countries citing papers authored by Yinkun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yinkun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinkun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yinkun Yan. A scholar is included among the top collaborators of Yinkun Yan 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 Yinkun Yan. Yinkun Yan 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 4
2 2
3 2
4 8
5 0
6 6
7 11
8 3
9 1
10 1
11 37
12 6
13 5
14 9
15 4
16 44
17 23
18 6
19 5
20
[Risk of obesity-related gene polymorphism on the incidence and durative of childhood obesity].
5

About Yinkun Yan

Yinkun Yan is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 108 papers that have together received 2.2k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (30 papers), Birth, Development, and Health (27 papers) and Blood Pressure and Hypertension Studies (19 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (898 citations), Cardiology and Cardiovascular Medicine (617 citations) and Pediatrics, Perinatology and Child Health (430 citations). Yinkun Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Mi, Bo Xi, Yajun Liang, Junting Liu, Xiaoyuan Zhao, Min Zhao, Chuanwei Ma, Dongqing Hou, Sreenivas P. Veeranki and Yisong Hu. Their work appears in journals such as Journal of the American College of Cardiology, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

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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