Qing Ma
Impact in
- Molecular Biology top 1%
- Congenital heart defects research
- RNA modifications and cancer
- Pluripotent Stem Cells Research
-
- Cardiac Fibrosis and Remodeling
Papers in
-
- Congenital heart defects research 32
- CRISPR and Genetic Engineering 8
- RNA Research and Splicing 7
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 6
- Cell Biology 12
- Hippo pathway signaling and YAP/TAZ 8
- Co-authors
- William T. PuBin ZhouAlexander von GiseAibin HePingzhu ZhouSek Won KongSeigo IzumoZhiqiang Lin
- Journals
- Nature Communications (9 papers)Circulation Research (9 papers)Developmental Biology (6 papers)Proceedings of the National Academy of Sciences (5 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Qing Ma
65 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 5.9k
- Cardiology and Cardiovascular Medicine 1.6k
- Cancer Research 847
- Cell Biology 875
- Surgery 1.7k
Countries citing papers authored by Qing Ma
This map shows the geographic impact of Qing Ma'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 Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Ma more than expected).
Fields of papers citing papers by Qing Ma
This network shows the impact of papers produced by Qing Ma. 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 Ma. The network helps show where Qing Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 8 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 45 | |
| 8 | 2021 | 2 | |
| 9 | 2019 | 212 | |
| 10 | 2019 | 84 | |
| 11 | 2014 | 36 | |
| 12 | 2013 | 98 | |
| 13 | Modified mRNA directs the fate of heart progenitor cells and induces vascular regeneration after myocardial infarction Hit paper breakdown → | 2013 | 501 |
| 14 | 2013 | 13 | |
| 15 | 2011 | 273 | |
| 16 | 2011 | 98 | |
| 17 | 2011 | 187 | |
| 18 | 2009 | 123 | |
| 19 | 2008 | 169 | |
| 20 | 2005 | 54 |
About Qing Ma
Qing Ma is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Genetics and Cancer Research, having authored 69 papers that have together received 7.2k indexed citations. Recurring topics across this work include Congenital heart defects research (32 papers), CRISPR and Genetic Engineering (8 papers), Hippo pathway signaling and YAP/TAZ (8 papers), RNA Research and Splicing (7 papers), Cardiac Fibrosis and Remodeling (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), RNA modifications and cancer (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Molecular Biology (5.9k citations), Cardiology and Cardiovascular Medicine (1.6k citations), Cancer Research (847 citations), Cell Biology (875 citations) and Surgery (1.7k citations). Qing Ma has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include William T. Pu, Bin Zhou, Alexander von Gise, Aibin He, Pingzhu Zhou, Sek Won Kong, Seigo Izumo, Zhiqiang Lin, Sadakatsu Ikeda and Satish Rajagopal. Their work appears in journals such as Nature Communications, Circulation Research, Developmental Biology, Proceedings of the National Academy of Sciences 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.