Hongliang Cong

1.2k total citations · 1 hit paper
43 papers, 613 citations indexed

About

Hongliang Cong is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hongliang Cong has authored 43 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 22 papers in Surgery and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hongliang Cong's work include Cardiac Imaging and Diagnostics (15 papers), Acute Myocardial Infarction Research (11 papers) and Lipoproteins and Cardiovascular Health (10 papers). Hongliang Cong is often cited by papers focused on Cardiac Imaging and Diagnostics (15 papers), Acute Myocardial Infarction Research (11 papers) and Lipoproteins and Cardiovascular Health (10 papers). Hongliang Cong collaborates with scholars based in China, United States and Netherlands. Hongliang Cong's co-authors include Hua Yang, Yuecheng Hu, Ao Wei, Le Wang, Jingxia Zhang, Libin Ren, Wei Qi, Zhang Yingyi, Jinghan Xu and Wenyu Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Nutrition.

In The Last Decade

Hongliang Cong

42 papers receiving 609 citations

Hit Papers

Triglyceride-glucose index predicts adverse cardiovascula... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hongliang Cong China 12 341 220 142 131 110 43 613
Sayaka Kadowaki Japan 16 292 0.9× 146 0.7× 136 1.0× 119 0.9× 101 0.9× 40 650
M Lupia Italy 10 215 0.6× 215 1.0× 132 0.9× 155 1.2× 43 0.4× 18 509
Guenter Hoefle Austria 14 215 0.6× 246 1.1× 215 1.5× 118 0.9× 46 0.4× 17 652
Fernanda Satake Novaes Brazil 7 228 0.7× 343 1.6× 212 1.5× 107 0.8× 45 0.4× 11 616
Mustafa Akçakoyun Türkiye 16 412 1.2× 98 0.4× 72 0.5× 122 0.9× 114 1.0× 71 675
Ádám L. Jermendy Hungary 12 278 0.8× 59 0.3× 96 0.7× 139 1.1× 130 1.2× 42 544
Jacques Pariès France 11 281 0.8× 92 0.4× 150 1.1× 143 1.1× 115 1.0× 11 621
Song Yang China 12 164 0.5× 86 0.4× 71 0.5× 165 1.3× 98 0.9× 42 470
K. Py�r�l� Finland 9 300 0.9× 456 2.1× 110 0.8× 157 1.2× 87 0.8× 13 774
Akimichi Iwamoto Japan 14 239 0.7× 134 0.6× 42 0.3× 151 1.2× 41 0.4× 24 526

Countries citing papers authored by Hongliang Cong

Since Specialization
Citations

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

Fields of papers citing papers by Hongliang Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongliang Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Hongliang Cong. A scholar is included among the top collaborators of Hongliang Cong 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 Hongliang Cong. Hongliang Cong 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
1.
Liu, Chun‐Wei, Fan Yang, Yuecheng Hu, et al.. (2025). The relationships between inflammatory biomarkers, plaque characteristics, and macrophage clusters in coronary plaque: a quantitative assessment of macrophages based on optical coherence tomography. Frontiers in Cardiovascular Medicine. 12. 1625239–1625239. 2 indexed citations
2.
Zhang, Jingxia, Yuecheng Hu, Lin Wang, et al.. (2023). Early versus late delayed percutaneous coronary intervention in elderly patients with ST-segment elevation myocardial infarction. Aging Clinical and Experimental Research. 35(6). 1317–1324.
3.
Chen, Wenqiang, Mei Ni, He Huang, et al.. (2023). Chinese expert consensus on the diagnosis and treatment of coronary microvascular diseases (2023 Edition). SHILAP Revista de lepidopterología. 4(6). e438–e438. 24 indexed citations
4.
Hu, Yuecheng, et al.. (2023). Electrocardiographic changes in acute myocardial infarction with acute occlusion of all triple coronary arteries. Annals of Noninvasive Electrocardiology. 28(3). e13038–e13038. 1 indexed citations
5.
Hu, Yuecheng, et al.. (2022). Acute proximal left anterior descending coronary artery occlusion presenting with Normal ECG: A case report. Annals of Noninvasive Electrocardiology. 27(6). e12987–e12987. 1 indexed citations
6.
Wei, Ao, Jingjing Liu, Le Wang, Senshuang Zheng, & Hongliang Cong. (2022). Correlation of triglyceride–glucose index and dyslipidaemia with premature coronary heart diseases and multivessel disease: a cross-sectional study in Tianjin, China. BMJ Open. 12(9). e065780–e065780. 12 indexed citations
9.
Zhang, Shihan, Hua Yang, Libin Ren, et al.. (2022). Triglyceride Glucose Index for Predicting Major Adverse Cardiovascular Events in Chinese Patients with Hypertension. Angiology. 74(3). 259–267. 5 indexed citations
10.
13.
An, Fang, et al.. (2021). Effect of ABCA1 promoter methylation on premature coronary artery disease and its relationship with inflammation. BMC Cardiovascular Disorders. 21(1). 78–78. 11 indexed citations
14.
Cong, Hongliang, et al.. (2020). Correlations between lipoprotein(a) gene polymorphisms and calcific aortic valve disease and coronary heart disease in Han Chinese. Journal of International Medical Research. 48(10). 1220764905–1220764905. 9 indexed citations
15.
Zhang, Yingyi, Hongliang Cong, Man Chen, et al.. (2020). Risk factors for cardiovascular disease from a population-based screening study in Tianjin, China: a cohort study of 36,215 residents. Annals of Translational Medicine. 8(7). 444–444. 5 indexed citations
16.
Yang, Li, Yin Liu, Shufeng Wang, Ting Liu, & Hongliang Cong. (2017). Association between Lp-PLA2 and coronary heart disease in Chinese patients. Journal of International Medical Research. 45(1). 159–169. 23 indexed citations
17.
Huang, Zhe, Shue Huang, Hongliang Cong, et al.. (2017). Smell and Taste Dysfunction Is Associated with Higher Serum Total Cholesterol Concentrations in Chinese Adults. Journal of Nutrition. 147(8). 1546–1551. 28 indexed citations
18.
Zhang, Jingxia, et al.. (2016). Characteristics of coronary arterial lesions in patients with coronary heart disease and hypertension. SpringerPlus. 5(1). 1208–1208. 9 indexed citations
19.
Cong, Hongliang, et al.. (2015). Rs7193343 polymorphism in zinc finger homeobox 3 (ZFHX3) gene and atrial fibrillation: an updated meta-analysis of 10 case-control comparisons. BMC Cardiovascular Disorders. 15(1). 58–58. 9 indexed citations
20.
Cong, Hongliang, et al.. (2010). Angiotensin II receptor type 1 is upregulated in atrial tissue of patients with rheumatic valvular disease with atrial fibrillation. Journal of Thoracic and Cardiovascular Surgery. 140(2). 298–304. 7 indexed citations

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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