Hao Cui

1.9k citations
84 papers · 1.3k · h-index 21

Impact in

Papers in

Hao Cui

79 papers receiving 1.3k citations

Peers

Hao Cui
Comparison fields: 5 of 102
  • Cardiology and Cardiovascular Medicine 385
  • Ophthalmology 123
  • Clinical Biochemistry 59
  • Epidemiology 248
  • Developmental Neuroscience 28
Replace Shujuan Li with:
Shujuan Li China
Cheng‐Wei Lu China
Christine Deffert Switzerland
Xian Jin China
Francesca Mercuri Australia
Chak Kwong Cheng Hong Kong
Ji‐Long Hao China
Liming Wang China
Jian‐Hua Zhu China
Xian Wang China
Hao Cui relative to Shujuan Li China Shujuan Li's profile →
Citations per field
00.5×10×14.7×
Shujuan Li · 1×
Citations per year

Countries citing papers authored by Hao Cui

Since Specialization
Citations

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

Fields of papers citing papers by Hao Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010111
2 200499
3 201063
4 201961
5 202260
6 201657
7 202142
8 201240
9 201237
10 202136
11 200834
12 200733
13 200731
14 202027
15 201826
16 201126
17 201825
18 201223
19 200523
20 201822

About Hao Cui

Hao Cui is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Surgery and Genetics, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (25 papers), Ophthalmology and Visual Impairment Studies (5 papers), Autophagy in Disease and Therapy (4 papers), Connexins and lens biology (3 papers), Mesenchymal stem cell research (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Natural product bioactivities and synthesis (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (385 citations), Ophthalmology (123 citations), Clinical Biochemistry (59 citations), Epidemiology (248 citations) and Developmental Neuroscience (28 citations). Hao Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rick A. Nishimura, Steve R. Ommen, Hartzell V. Schaff, Joseph A. Dearani, Changsheng Zhu, Brian D. Lahr, Jeffrey B. Geske, Shuiyun Wang, Jialiang Zhao and Leon B. Ellwein. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Ophthalmic Epidemiology, Journal of the American College of Cardiology, Acta Pharmacologica Sinica and International Immunopharmacology.

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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