Demin Yu

471 citations
10 papers · 411 indexed · h-index 8
Topics
Extracellular vesicles in disease (2 papers)Cardiovascular Disease and Adiposity (2 papers)Peripheral Artery Disease Management (2 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Demin Yu

10 papers receiving 403 citations

Peers

Demin Yu
Comparison fields: 5 of 78
  • Molecular Biology 260
  • Cancer Research 93
  • Cardiology and Cardiovascular Medicine 63
  • Immunology 60
  • Pulmonary and Respiratory Medicine 58
Replace Monika Zdanytė with:
Monika Zdanytė Germany
Ahmed O. Elmehrath Egypt
Sai Hu China
Johan Willemse Belgium
Shulin Lu United States
H. G. Velcovsky Germany
Kelley C. McLean United States
George O. Angheloiu United States
Hidemi Dodo Japan
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Demin Yu relative to Monika Zdanytė Germany Monika Zdanytė's profile →
Citations per field
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Citations per year

Countries citing papers authored by Demin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Demin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Demin Yu

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Circulating MiRNA biomarkers serve as a fingerprint for diabetic atherosclerosis.
28
2 16
3 102
4 1
5 47
6 67
7 127
8
Thrice-daily biphasic insulin aspart 30 may be another therapeutic option for Chinese patients with type 2 diabetes inadequately controlled with oral antidiabetic agents.
4
9
[Analysis of peripheral arterial obstructive disease related factors among diabetic population aged > or = 50].
8
10
Prevalence and risk factors of peripheral arterial disease in diabetic patients over 50 years old in China.
11

About Demin Yu

Demin Yu is a scholar working on Internal Medicine, Modeling and Simulation and Cancer Research, having authored 10 papers that have together received 411 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Peripheral Artery Disease Management (2 papers). The work is most often cited by research in Cancer Research (93 citations), Internal Medicine (16 citations) and Modeling and Simulation (19 citations). Demin Yu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Ming‐Lin Liu, Kevin Jon Williams, Mingzhen Li, Chunjun Li, Yan Chen, Yu Liu, Yinghui Zhang, Zaiyun Zhang, Wataru Ogawa and Kumiko Hayashi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Arteriosclerosis Thrombosis and Vascular Biology and American Journal Of Pathology.

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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