Yadong Cui

2.7k citations
41 papers · 2.0k indexed · 2 hit papers · h-index 17
Topics
Lipoproteins and Cardiovascular Health (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Cancer, Lipids, and Metabolism (5 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Yadong Cui

39 papers receiving 2.0k citations

Hit Papers

Non–High-Density Lipoprotein Cholesterol Level as a Predi...200120262009201720012016100200300400500

Peers

Yadong Cui
Comparison fields: 5 of 130
  • Epidemiology 529
  • Cardiology and Cardiovascular Medicine 487
  • Endocrinology, Diabetes and Metabolism 452
  • Surgery 419
  • Oncology 317
Replace Iona Y. Millwood with:
Iona Y. Millwood United Kingdom
Nadine Clausell Brazil
Carlos Serrano Brazil
Antonio Biondi Italy
Robin Ristl Austria
José Rocha Faria‐Neto Brazil
Sreelatha Meleth United States
Mingyue Li China
Nicholas Chew Singapore
Fangjian Guo United States
Yadong Cui relative to Iona Y. Millwood United Kingdom Iona Y. Millwood's profile →
Citations per field
00.5×1.7×
Iona Y. Millwood · 1×
Citations per year

Countries citing papers authored by Yadong Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yadong Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadong Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Yadong Cui. A scholar is included among the top collaborators of Yadong Cui 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 Yadong Cui. Yadong Cui 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 0
2 1
3 2
4 1
5 1
6 1
7 3
8 5
9 6
10 21
11 3
12
Abstract 1462: Association of HDL Cholesterol and Apolipoprotein A-1 With Incident CVD Across Levels of LDL Cholesterol in 27,748 Women
2
13 48
14 57
15 417
16 40
17 16
18 128
19 11
20 1

About Yadong Cui

Yadong Cui is a scholar working on Endocrinology, Diabetes and Metabolism, Biological Psychiatry and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Complementary and alternative medicine (228 citations), Endocrinology, Diabetes and Metabolism (452 citations) and Cardiology and Cardiovascular Medicine (487 citations). Yadong Cui has collaborated with scholars based in China, United States and France. Frequent co-authors include Jodi A. Flaws, Maura K. Whiteman, Roger S. Blumenthal, Trudy L. Bush, Patricia Langenberg, Paul S. Bachorik, Samia Mora, Rita F. Redberg, A. Richey Sharrett and Katherine H. R. Tkaczuk. Their work appears in journals such as JAMA, Circulation and Annals of Internal 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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