Hongyun Yan

1.2k citations
7 papers · 912 indexed · 1 hit paper · h-index 5
Topics
Adipokines, Inflammation, and Metabolic Diseases (3 papers)Adipose Tissue and Metabolism (2 papers)Blood Pressure and Hypertension Studies (1 paper)
Partner nations
CanadaChina

In The Last Decade

Hongyun Yan

7 papers receiving 872 citations

Hit Papers

Adipokines: molecular links between obesity and atheroslc...20052026201220192005200400600

Peers

Hongyun Yan
Comparison fields: 5 of 114
  • Epidemiology 399
  • Physiology 308
  • Cardiology and Cardiovascular Medicine 229
  • Molecular Biology 178
  • Endocrinology, Diabetes and Metabolism 172
Replace David Lau with:
David Lau Canada
Graziana Lupattelli Italy
Beata Telejko Poland
N. Rassouli United States
Jey Sook Chae South Korea
Sarah M. Weakley United States
Gideon R. Hajer Netherlands
Kuang‐Chung Shih Taiwan
Weiqiong Gu China
Soudabeh Fallah Iran
Hongyun Yan relative to David Lau Canada David Lau's profile →
Citations per field
00.5×1.5×2.2×
David Lau · 1×
Citations per year

Countries citing papers authored by Hongyun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hongyun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyun Yan

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 3
3 18
4 43
5
Adipokines: molecular links between obesity and atheroslcerosisbreakdown →
699
6 67
7 80

About Hongyun Yan

Hongyun Yan is a scholar working on Internal Medicine, Geriatrics and Gerontology and Endocrine and Autonomic Systems, having authored 7 papers that have together received 912 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (2 papers) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (94 citations), Physiology (308 citations) and Epidemiology (399 citations). Hongyun Yan has collaborated with scholars based in Canada and China. Frequent co-authors include David Lau, Bikramjit Dhillon, Subodh Verma, Paul E. Szmitko, David C.W. Lau, Abdenaim Kermouni, Alex Wong, G. Shillabeer, Ting Tang and Yueheng Yin. Their work appears in journals such as Journal of Lipid Research, American Journal of Physiology-Heart and Circulatory Physiology and Food Research International.

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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