Hongqiang Cheng

4.1k citations
77 papers · 2.8k indexed · h-index 31

Hongqiang Cheng

74 papers receiving 2.8k citations

Peers

Hongqiang Cheng
Comparison fields: 5 of 109
  • Cardiology and Cardiovascular Medicine 884
  • Molecular Biology 1.9k
  • Immunology 459
  • Cell Biology 290
  • Immunology and Allergy 105
Replace Tomomi Ueyama with:
Tomomi Ueyama Japan
Benjamin J. Wilkins United States
Robert A. Kaiser United States
Matthias Szabolcs United States
Pascal Bernatchez Canada
Mathias H. Konstandin Germany
Manjusri Das United States
Jianjian Shi United States
Zheng‐Gen Jin United States
Jianxin Sun United States
Hongqiang Cheng relative to Tomomi Ueyama Japan Tomomi Ueyama's profile →
Citations per field
00.5×1.5×2.3×
Tomomi Ueyama · 1×
Citations per year

Countries citing papers authored by Hongqiang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hongqiang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20242
5 202336
6 202245
7 202210
8 20197
9 201917
10 201814
11 201748
12 20166
13 201610
14 201616
15 201558
16 201522
17
Requirement for Ca 2+/calmodulin-dependent kinase II in the transition from pressure overload-induced cardiac hypertrophy to heart failure in mice (Journal of Clinical Investigation (2009) 119, 5, (1230-1240) doi: 10.1172/JCI38022)
20121
18 201247
19 2011105
20
Abstract 17554: A Unique Synergistic Approach That Uncovers MLC2v Phosphorylation as an Early Marker for Heart Disease
20101

About Hongqiang Cheng

Hongqiang Cheng is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Immunology and Allergy, having authored 77 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (15 papers), Cardiomyopathy and Myosin Studies (14 papers), Galectins and Cancer Biology (12 papers), Cardiovascular Effects of Exercise (7 papers), Congenital heart defects research (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), RNA modifications and cancer (5 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (884 citations), Molecular Biology (1.9k citations) and Immunology (459 citations). Hongqiang Cheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ju Chen, Yuehai Ke, Xue Zhang, Kirk L. Peterson, Yusu Gu, Nancy D. Dalton, Kunfu Ouyang, Joan Heller Brown, Laëtitia Pereira and Donald M. Bers. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

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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