Sa Shi
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
-
- Cardiovascular Function and Risk Factors
Papers in
-
- Redox biology and oxidative stress 5
- Mitochondrial Function and Pathology 3
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- Sulfur Compounds in Biology 8
- Co-authors
- Nazareno Paolocci (6 shared papers)Walter H. Watson (3 shared papers)Miguel A. Aon (3 shared papers)Brian A. Stanley (3 shared papers)Changqing Xu (6 shared papers)Ye Tian (9 shared papers)Yajun Zhao (7 shared papers)Vidhya Sivakumaran (2 shared papers)
- Journals
- Experimental Cell Research (4 papers)Molecular and Cellular Biochemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)Cardiovascular Pathology (1 paper)Cell Biology International (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Sa Shi
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Biochemistry 121
- Cardiology and Cardiovascular Medicine 262
- Geriatrics and Gerontology 35
- Physiology 212
- Molecular Biology 459
Countries citing papers authored by Sa Shi
This map shows the geographic impact of Sa Shi'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 Sa Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sa Shi more than expected).
Fields of papers citing papers by Sa Shi
This network shows the impact of papers produced by Sa Shi. 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 Sa Shi. The network helps show where Sa Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sa Shi, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 155 | |
| 2 | 2011 | 102 | |
| 3 | 2015 | 98 | |
| 4 | 2012 | 66 | |
| 5 | 2013 | 60 | |
| 6 | 2006 | 54 | |
| 7 | 2015 | 47 | |
| 8 | 2014 | 47 | |
| 9 | 2017 | 41 | |
| 10 | 2011 | 38 | |
| 11 | 2009 | 36 | |
| 12 | 2015 | 35 | |
| 13 | 2010 | 31 | |
| 14 | 2018 | 28 | |
| 15 | 2016 | 28 | |
| 16 | 2017 | 28 | |
| 17 | 2010 | 25 | |
| 18 | 2017 | 20 | |
| 19 | 2014 | 17 | |
| 20 | 2008 | 13 |
About Sa Shi
Sa Shi is a scholar working on Molecular Biology, Biochemistry, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (8 papers), Nanoplatforms for cancer theranostics (5 papers), Redox biology and oxidative stress (5 papers), Nitric Oxide and Endothelin Effects (5 papers), Photodynamic Therapy Research Studies (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Biochemistry (121 citations), Cardiology and Cardiovascular Medicine (262 citations), Geriatrics and Gerontology (35 citations), Physiology (212 citations) and Molecular Biology (459 citations). Sa Shi has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Nazareno Paolocci, Walter H. Watson, Miguel A. Aon, Brian A. Stanley, Changqing Xu, Ye Tian, Yajun Zhao, Vidhya Sivakumaran, David Lloyd and Iain McDonald. Their work appears in journals such as Experimental Cell Research, Molecular and Cellular Biochemistry, Biochemical and Biophysical Research Communications, Cardiovascular Pathology and Cell Biology International.
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.