Daya Yang

47 papers receiving 817 citations

Peers

Daya Yang
Comparison fields: 5 of 108
  • Nephrology 65
  • Endocrinology, Diabetes and Metabolism 108
  • Infectious Diseases 109
  • General Dentistry 8
  • Cardiology and Cardiovascular Medicine 103
Replace Radosław Owczuk with:
Radosław Owczuk Poland
Danyong Liu China
Ahmed Elgebaly Egypt
Izza Shahid United States
Ahmed Adam South Africa
Magdalena Wujtewicz Poland
Garima Arora United States
David Arnold United Kingdom
Kristen M. Tecson United States
Michael Böehm Germany
Daya Yang relative to Radosław Owczuk Poland Radosław Owczuk's profile →
Citations per field
00.5×2×4×5.4×
Radosław Owczuk · 1×
Citations per year

Countries citing papers authored by Daya Yang

Since Specialization
Citations

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

Fields of papers citing papers by Daya Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daya Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daya Yang Line = papers co-authored together Daya Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020186
2 2017131
3 2020103
4 202034
5 202232
6 201830
7 201524
8 202020
9 201020
10 201419
11 201219
12 201817
13 201915
14 202115
15 201914
16 201313
17 201311
18 201210
19 201910
20 20199

About Daya Yang

Daya Yang is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 49 papers that have together received 843 indexed citations. Recurring topics across this work include Innovations in Medical Education (5 papers), Pain Management and Treatment (3 papers), Blood Pressure and Hypertension Studies (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Diabetes Treatment and Management (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Nephrology (65 citations), Endocrinology, Diabetes and Metabolism (108 citations), Infectious Diseases (109 citations), General Dentistry (8 citations) and Cardiology and Cardiovascular Medicine (103 citations). Daya Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xinxue Liao, Xiaodong Zhuang, Haipeng Xiao, Zhimin Du, Yue Leon Guo, Ming Kuang, Guifu Wu, Lichun Wang, Xun Hu and Zena Huang. Their work appears in journals such as Medical Teacher, International Journal of Cardiology, Journal of the American College of Cardiology, Cardiovascular Diabetology and Cardiovascular Drugs and Therapy.

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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