Deya Shang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Phytochemicals and Antioxidant Activities
Papers in
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- Cell death mechanisms and regulation 2
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- Acute Kidney Injury Research 3
- Chronic Kidney Disease and Diabetes 1
- Co-authors
- Xia Zhong (6 shared papers)Fuli Liu (2 shared papers)Xiao‐Nan Li (1 shared paper)Yi Zhou (8 shared papers)Hongjun Bian (5 shared papers)Haiyang Zhang (2 shared papers)Jianni Qi (2 shared papers)Chunqing Zhang (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Cardiovascular Therapeutics (2 papers)Frontiers in Pharmacology (2 papers)Shock (1 paper)IUBMB Life (1 paper)
- Partner nations
- China
In The Last Decade
Deya Shang
22 papers receiving 369 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 51
- Biochemistry 20
- Cardiology and Cardiovascular Medicine 60
- Epidemiology 78
- Nephrology 14
Countries citing papers authored by Deya Shang
This map shows the geographic impact of Deya Shang'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 Deya Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deya Shang more than expected).
Fields of papers citing papers by Deya Shang
This network shows the impact of papers produced by Deya Shang. 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 Deya Shang. The network helps show where Deya Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Deya Shang, 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 | 2012 | 114 | |
| 2 | 2015 | 49 | |
| 3 | 2019 | 48 | |
| 4 | 2013 | 29 | |
| 5 | 2018 | 21 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 17 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2017 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2012 | 4 | |
| 14 | [Atorvastatin inhibits scavenger receptor A and monocyte chemoattractant protein-1 expressions in foam cell]. | 2007 | 3 |
| 15 | 2019 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2018 | 1 |
About Deya Shang
Deya Shang is a scholar working on Molecular Biology, Nephrology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Neurology, having authored 22 papers that have together received 369 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (3 papers), Cell death mechanisms and regulation (2 papers), Heart Failure Treatment and Management (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Cancer Research (51 citations), Biochemistry (20 citations), Cardiology and Cardiovascular Medicine (60 citations), Epidemiology (78 citations) and Nephrology (14 citations). Deya Shang has collaborated with scholars based in China. Frequent co-authors include Xia Zhong, Fuli Liu, Xiao‐Nan Li, Yi Zhou, Hongjun Bian, Haiyang Zhang, Jianni Qi, Chunqing Zhang, Xiao Zhang and Yongsheng Zhang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cardiovascular Therapeutics, Frontiers in Pharmacology, Shock and IUBMB Life.
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.