Qing Cheng Meng
- Cardiology and Cardiovascular Medicine top 2%
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 5%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Co-authors
- Suzanne OparilJoan DurandY. F. ChenLouis J. Dell’ItaliaEduardo BalcellsMax B. KelzJason T. MooreTerry S. Elton
- Topics
- Renin-Angiotensin System Studies (10 papers)Protein Hydrolysis and Bioactive Peptides (7 papers)Receptor Mechanisms and Signaling (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyCirculation
- Partner nations
- United StatesChinaFrance
In The Last Decade
Qing Cheng Meng
72 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 123
- Cardiology and Cardiovascular Medicine 947
- Pulmonary and Respiratory Medicine 660
- Physiology 634
- Molecular Biology 570
- Cognitive Neuroscience 448
Countries citing papers authored by Qing Cheng Meng
This map shows the geographic impact of Qing Cheng Meng'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 Qing Cheng Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Cheng Meng more than expected).
Fields of papers citing papers by Qing Cheng Meng
This network shows the impact of papers produced by Qing Cheng Meng. 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 Qing Cheng Meng. The network helps show where Qing Cheng Meng may publish in the future.
Co-authorship network of co-authors of Qing Cheng Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Cheng Meng. A scholar is included among the top collaborators of Qing Cheng Meng 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 Qing Cheng Meng. Qing Cheng Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 13 | |
| 6 | 15 | |
| 7 | 40 | |
| 8 | 129 | |
| 9 | 3 | |
| 10 | 166 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 99 | |
| 15 | 16 | |
| 16 | 59 | |
| 17 | 24 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 11 |
About Qing Cheng Meng
Qing Cheng Meng is a scholar working on Endocrine and Autonomic Systems, Anesthesiology and Pain Medicine and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (10 papers), Protein Hydrolysis and Bioactive Peptides (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Developmental Neuroscience (266 citations), Endocrine and Autonomic Systems (385 citations) and Anesthesiology and Pain Medicine (279 citations). Qing Cheng Meng has collaborated with scholars based in United States, China and France. Frequent co-authors include Suzanne Oparil, Joan Durand, Y. F. Chen, Louis J. Dell’Italia, Eduardo Balcells, Max B. Kelz, Jason T. Moore, Terry S. Elton, Roderic G. Eckenhoff and Jingqiu Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Circulation.
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.