Hongqiang Cheng
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Immunology top 5%
- Cell Biology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Ju ChenYuehai KeXue ZhangKirk L. PetersonYusu GuNancy D. DaltonKunfu OuyangJoan Heller Brown
- Topics
- Protein Tyrosine Phosphatases (15 papers)Cardiomyopathy and Myosin Studies (14 papers)Galectins and Cancer Biology (12 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hongqiang Cheng
74 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.9k
- Cardiology and Cardiovascular Medicine 884
- Immunology 459
- Cell Biology 290
- Pulmonary and Respiratory Medicine 272
Countries citing papers authored by Hongqiang Cheng
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
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 of co-authors of Hongqiang Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Hongqiang Cheng. A scholar is included among the top collaborators of Hongqiang Cheng 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 Hongqiang Cheng. Hongqiang Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 36 | |
| 6 | 45 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 14 | |
| 11 | 48 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 16 | |
| 15 | 58 | |
| 16 | 22 | |
| 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) | 1 |
| 18 | 47 | |
| 19 | 105 | |
| 20 | Abstract 17554: A Unique Synergistic Approach That Uncovers MLC2v Phosphorylation as an Early Marker for Heart Disease | 1 |
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) and Galectins and Cancer Biology (12 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.