Xin‐Qun Wang
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Critical Care and Intensive Care Medicine top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Sanjiv KaulKevin WeiStephen S. RichTodd BelcikKhim Leng TongBankole A. JohnsonAni ManichaikulMichael A. Dawes
- Topics
- Neurotransmitter Receptor Influence on Behavior (4 papers)Genetic Associations and Epidemiology (3 papers)Cardiac Imaging and Diagnostics (3 papers)
- Cited by
- Critical Care and Intensive Care MedicineRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Xin‐Qun Wang
18 papers receiving 537 citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 214
- Cardiology and Cardiovascular Medicine 169
- Epidemiology 108
- Critical Care and Intensive Care Medicine 87
- Cellular and Molecular Neuroscience 82
Countries citing papers authored by Xin‐Qun Wang
This map shows the geographic impact of Xin‐Qun Wang'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 Xin‐Qun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin‐Qun Wang more than expected).
Fields of papers citing papers by Xin‐Qun Wang
This network shows the impact of papers produced by Xin‐Qun Wang. 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 Xin‐Qun Wang. The network helps show where Xin‐Qun Wang may publish in the future.
Co-authorship network of co-authors of Xin‐Qun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Qun Wang. A scholar is included among the top collaborators of Xin‐Qun Wang 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 Xin‐Qun Wang. Xin‐Qun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 38 | |
| 5 | 13 | |
| 6 | 16 | |
| 7 | 26 | |
| 8 | 39 | |
| 9 | 14 | |
| 10 | 18 | |
| 11 | 78 | |
| 12 | 8 | |
| 13 | 40 | |
| 14 | 33 | |
| 15 | 102 | |
| 16 | 24 | |
| 17 | 22 | |
| 18 | 78 |
About Xin‐Qun Wang
Xin‐Qun Wang is a scholar working on Critical Care and Intensive Care Medicine, Toxicology and Behavioral Neuroscience, having authored 18 papers that have together received 557 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (4 papers), Genetic Associations and Epidemiology (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (87 citations), Radiology, Nuclear Medicine and Imaging (214 citations) and Cardiology and Cardiovascular Medicine (169 citations). Xin‐Qun Wang has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Sanjiv Kaul, Kevin Wei, Stephen S. Rich, Todd Belcik, Khim Leng Tong, Bankole A. Johnson, Ani Manichaikul, Michael A. Dawes, Nassima Ait‐Daoud and John D. Roache. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.