Weibin Shi
Impact in
- Immunology top 2%
- Atherosclerosis and Cardiovascular Diseases
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Biochemistry top 2%
- Antioxidant Activity and Oxidative Stress
Papers in
- Immunology 42
- Atherosclerosis and Cardiovascular Diseases 37
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- Antioxidant Activity and Oxidative Stress 6
- Co-authors
- Aldons J. LusisXuping WangDiana M. ShihAlan H. MatsumotoJudith A. BerlinerSusan HamaGanesamoorthy SubbanagounderMohamad Navab
- Journals
- Atherosclerosis (6 papers)Arteriosclerosis Thrombosis and Vascular Biology (5 papers)Circulation Research (4 papers)American Journal of Physiology-Heart and Circulatory Physiology (4 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Weibin Shi
106 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 120
- Immunology 1.0k
- Biochemistry 213
- Endocrinology, Diabetes and Metabolism 445
- Biochemistry 173
- Clinical Biochemistry 157
Countries citing papers authored by Weibin Shi
This map shows the geographic impact of Weibin 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 Weibin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibin Shi more than expected).
Fields of papers citing papers by Weibin Shi
This network shows the impact of papers produced by Weibin 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 Weibin Shi. The network helps show where Weibin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Weibin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 8 | |
| 11 | 2017 | 3 | |
| 12 | The association study on renalase polymorphism and hypertension: a meta-analysis. | 2015 | 14 |
| 13 | 2015 | 5 | |
| 14 | 2010 | 28 | |
| 15 | 2009 | 19 | |
| 16 | 2006 | 21 | |
| 17 | 2006 | 23 | |
| 18 | 2006 | 11 | |
| 19 | 2006 | 11 | |
| 20 | 2001 | 261 |
About Weibin Shi
Weibin Shi is a scholar working on Immunology, Biochemistry, Genetics, Physiology and Molecular Biology, having authored 110 papers that have together received 3.1k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (37 papers), Peroxisome Proliferator-Activated Receptors (22 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers), Genetic Associations and Epidemiology (15 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Nitric Oxide and Endothelin Effects (12 papers), Antioxidant Activity and Oxidative Stress (6 papers) and Coronary Interventions and Diagnostics (6 papers). The work is most often cited by research in Immunology (1.0k citations), Biochemistry (213 citations), Endocrinology, Diabetes and Metabolism (445 citations), Biochemistry (173 citations) and Clinical Biochemistry (157 citations). Weibin Shi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Aldons J. Lusis, Xuping Wang, Diana M. Shih, Alan H. Matsumoto, Judith A. Berliner, Susan Hama, Ganesamoorthy Subbanagounder, Mohamad Navab, Alan M. Fogelman and Gregory A. Helm. Their work appears in journals such as Atherosclerosis, Arteriosclerosis Thrombosis and Vascular Biology, Circulation Research, American Journal of Physiology-Heart and Circulatory Physiology 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.