Hongwei Qian
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Co-authors
- Walter G. ThomasPaul GregorevicJustin L. ChenCraig A. HarrisonLuisa PipoloCatherine E. WinbanksAdam HaggRachel E. Thomson
- Topics
- Muscle Physiology and Disorders (15 papers)Receptor Mechanisms and Signaling (15 papers)Renin-Angiotensin System Studies (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Hongwei Qian
53 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 2.0k
- Cardiology and Cardiovascular Medicine 707
- Physiology 583
- Cellular and Molecular Neuroscience 456
- Cell Biology 380
Countries citing papers authored by Hongwei Qian
This map shows the geographic impact of Hongwei Qian'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 Hongwei Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongwei Qian more than expected).
Fields of papers citing papers by Hongwei Qian
This network shows the impact of papers produced by Hongwei Qian. 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 Hongwei Qian. The network helps show where Hongwei Qian may publish in the future.
Co-authorship network of co-authors of Hongwei Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Qian. A scholar is included among the top collaborators of Hongwei Qian 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 Hongwei Qian. Hongwei Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 66 | |
| 3 | 7 | |
| 4 | 30 | |
| 5 | 11 | |
| 6 | 16 | |
| 7 | Specific targeting of TGF-beta family ligands demonstrates distinct roles in the regulation of muscle mass in health and disease | 19 |
| 8 | 61 | |
| 9 | 16 | |
| 10 | 43 | |
| 11 | 168 | |
| 12 | 32 | |
| 13 | 73 | |
| 14 | 50 | |
| 15 | 61 | |
| 16 | 24 | |
| 17 | 79 | |
| 18 | 11 | |
| 19 | 198 | |
| 20 | 27 |
About Hongwei Qian
Hongwei Qian is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology, having authored 55 papers that have together received 2.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Receptor Mechanisms and Signaling (15 papers) and Renin-Angiotensin System Studies (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (707 citations), Molecular Biology (2.0k citations) and Cellular and Molecular Neuroscience (456 citations). Hongwei Qian has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Walter G. Thomas, Paul Gregorevic, Justin L. Chen, Craig A. Harrison, Luisa Pipolo, Catherine E. Winbanks, Adam Hagg, Rachel E. Thomson, Kelly L. Walton and Sadashiva S. Karnik. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.