Zhenyang Liang

548 citations
16 papers · 301 · h-index 6

Impact in

Papers in

Zhenyang Liang

14 papers receiving 297 citations

Peers

Zhenyang Liang
Comparison fields: 5 of 41
  • Internal Medicine 144
  • Cardiology and Cardiovascular Medicine 249
  • Surgery 111
  • Hematology 13
  • Immunology 22
Replace Shigeru Amitani with:
Shigeru Amitani Japan
Loukas Sinos Greece
Francisco Cambronero Spain
Katarzyna Ptaszyńska‐Kopczyńska Poland
Prospero Gogo United States
Alexander Joost Germany
Farhan Shahid United Kingdom
Ahmet Güner Türkiye
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Zhenyang Liang relative to Shigeru Amitani Japan Shigeru Amitani's profile →
Citations per field
00.5×3.7×
Shigeru Amitani · 1×
Citations per year

Countries citing papers authored by Zhenyang Liang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015193
2 201337
3 201526
4 202210
5 20168
6 20166
7 20235
8 20125
9 20173
10
Association of interleukin-6 gene -572C/G single nucleotide polymorphism with coronary artery disease in Han population of north China.
20102
11 20102
12 20222
13 20231
14 20241
15 20250
16 20240

About Zhenyang Liang

Zhenyang Liang is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Immunology, having authored 16 papers that have together received 301 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Aortic Disease and Treatment Approaches (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Internal Medicine (144 citations), Cardiology and Cardiovascular Medicine (249 citations), Surgery (111 citations), Hematology (13 citations) and Immunology (22 citations). Zhenyang Liang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yaling Han, Yi Li, Gregg W. Stone, Quanmin Jing, Jing Li, Haiwei Liu, Chenghui Yan, Xin Zhao, Tiemin Jiang and Jincheng Guo. Their work appears in journals such as Catheterization and Cardiovascular Interventions, JAMA, BMC Medicine, Atherosclerosis and Cardiovascular Therapeutics.

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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