Xia Shen
Impact in
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- Cardiovascular Function and Risk Factors
- Cardiac electrophysiology and arrhythmias
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
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- Peroxisome Proliferator-Activated Receptors 3
-
- Cardiovascular Function and Risk Factors 6
- Cardiomyopathy and Myosin Studies 2
- Co-authors
- Paul N. Epstein (6 shared papers)Naira Metreveli (4 shared papers)Shirong Zheng (2 shared papers)Ming Xu (2 shared papers)Rajakumar V. Donthi (2 shared papers)Edward C. Carlson (2 shared papers)Gang Ye (3 shared papers)Visith Thongboonkerd (1 shared paper)
- Journals
- Diabetes (3 papers)Cell Reports (1 paper)Nephrology (1 paper)Journal of Lipid Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xia Shen
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Cardiology and Cardiovascular Medicine 502
- Clinical Biochemistry 107
- Physiology 279
- Nephrology 71
- Molecular Biology 587
Countries citing papers authored by Xia Shen
This map shows the geographic impact of Xia Shen'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 Xia Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Shen more than expected).
Fields of papers citing papers by Xia Shen
This network shows the impact of papers produced by Xia Shen. 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 Xia Shen. The network helps show where Xia Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 305 | |
| 2 | 2004 | 226 | |
| 3 | 2004 | 213 | |
| 4 | 2002 | 155 | |
| 5 | 2014 | 70 | |
| 6 | 2019 | 45 | |
| 7 | 2014 | 45 | |
| 8 | 2019 | 44 | |
| 9 | 2005 | 43 | |
| 10 | 2014 | 39 | |
| 11 | 2012 | 28 | |
| 12 | 2008 | 23 | |
| 13 | 2005 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2007 | 20 | |
| 16 | 2012 | 17 | |
| 17 | 2019 | 8 | |
| 18 | [The risk factors of chronic obstructive pulmonary disease in Heilongjiang province]. | 2015 | 7 |
| 19 | 2022 | 6 | |
| 20 | 2015 | 5 |
About Xia Shen
Xia Shen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Nephrology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Advanced Glycation End Products research (2 papers), Adipose Tissue and Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Acute Kidney Injury Research (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (502 citations), Clinical Biochemistry (107 citations), Physiology (279 citations), Nephrology (71 citations) and Molecular Biology (587 citations). Xia Shen has collaborated with scholars based in China and United States. Frequent co-authors include Paul N. Epstein, Naira Metreveli, Shirong Zheng, Ming Xu, Rajakumar V. Donthi, Edward C. Carlson, Gang Ye, Visith Thongboonkerd, William M. Pierce and Jon B. Klein. Their work appears in journals such as Diabetes, Cell Reports, Nephrology, Journal of Lipid Research 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.