Luya Wang

1.8k citations
56 papers · 849 indexed · h-index 15

Impact in

Papers in

    • Cancer, Lipids, and Metabolism 18
    • Lipoproteins and Cardiovascular Health 27
    • Cholesterol and Lipid Metabolism 9

Luya Wang

52 papers receiving 829 citations

Peers

Luya Wang
Comparison fields: 5 of 110
  • Rehabilitation 76
  • Cancer Research 127
  • Surgery 349
  • Biotechnology 57
  • Endocrinology, Diabetes and Metabolism 97
Replace Cristian Loretelli with:
Cristian Loretelli Italy
Shanmiao Gou China
A. Fredenrich France
Cristina Barale Italy
Chengxue Dang China
Wei Song China
Zhihong Zhao China
Ruth Exner Austria
Luya Wang relative to Cristian Loretelli Italy Cristian Loretelli's profile →
Citations per field
00.5×4.4×
Cristian Loretelli · 1×
Citations per year

Countries citing papers authored by Luya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Luya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luya Wang, 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 Luya Wang Line = papers co-authored together Luya Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012232
2 201494
3 201054
4 200952
5 200245
6 201540
7 201738
8
An interspecies study of lipid profiles and atherosclerosis in familial hypercholesterolemia animal models with low-density lipoprotein receptor deficiency.
201922
9 201420
10 202016
11 201515
12 201915
13 201715
14 201714
15 201814
16 202113
17 201613
18 201612
19 202111
20
A novel mutation in proprotein convertase subtilisin/kexin type 9 gene leads to familial hypercholesterolemia in a Chinese family.
201011

About Luya Wang

Luya Wang is a scholar working on Cancer Research, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 56 papers that have together received 849 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (27 papers), Cancer, Lipids, and Metabolism (18 papers), Cholesterol and Lipid Metabolism (9 papers), Lipid metabolism and disorders (7 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Genetic factors in colorectal cancer (2 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Rehabilitation (76 citations), Cancer Research (127 citations), Surgery (349 citations), Biotechnology (57 citations) and Endocrinology, Diabetes and Metabolism (97 citations). Luya Wang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Jie Du, Yina Wu, Yulin Li, Congcong Zhang, Xiaonan Wang, Long Jiang, Shiwei Yang, Xin Wei, Shi‐Hai Dong and Zhong-Qi Ma. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of clinical lipidology, The American Journal of Cardiology and Empirical Economics.

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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