Yi‐Ning Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
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- Antiplatelet Therapy and Cardiovascular Diseases
- Cardiac Fibrosis and Remodeling
Papers in
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- RNA modifications and cancer 7
- Co-authors
- Bang‐Dang Chen (106 shared papers)Xiao‐Mei Li (106 shared papers)Xiang Xie (77 shared papers)Fen Liu (57 shared papers)Zhen-Yan Fu (72 shared papers)Xiang Ma (50 shared papers)Yi-Tong Ma (39 shared papers)Yi‐Tong Ma (27 shared papers)
- Journals
- Lipids in Health and Disease (20 papers)Scientific Reports (10 papers)PLoS ONE (10 papers)Oncotarget (9 papers)BMC Cardiovascular Disorders (9 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yi‐Ning Yang
213 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 330
- Cardiology and Cardiovascular Medicine 483
- Nephrology 124
- Endocrinology, Diabetes and Metabolism 221
- Immunology 232
Countries citing papers authored by Yi‐Ning Yang
This map shows the geographic impact of Yi‐Ning Yang'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 Yi‐Ning Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Ning Yang more than expected).
Fields of papers citing papers by Yi‐Ning Yang
This network shows the impact of papers produced by Yi‐Ning Yang. 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 Yi‐Ning Yang. The network helps show where Yi‐Ning Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Ning Yang, 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 224 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 94 | |
| 2 | 2017 | 85 | |
| 3 | 2010 | 75 | |
| 4 | 2020 | 74 | |
| 5 | 2009 | 66 | |
| 6 | 2018 | 64 | |
| 7 | 2020 | 64 | |
| 8 | 2019 | 63 | |
| 9 | 2008 | 49 | |
| 10 | 2016 | 44 | |
| 11 | 2009 | 43 | |
| 12 | 2015 | 42 | |
| 13 | 2012 | 39 | |
| 14 | 2014 | 36 | |
| 15 | 2017 | 36 | |
| 16 | 2014 | 36 | |
| 17 | 2020 | 36 | |
| 18 | 2016 | 36 | |
| 19 | 2011 | 36 | |
| 20 | 2013 | 34 |
About Yi‐Ning Yang
Yi‐Ning Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Immunology, having authored 224 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Lipoproteins and Cardiovascular Health (10 papers), Cancer-related molecular mechanisms research (9 papers), NF-κB Signaling Pathways (9 papers), Macrophage Migration Inhibitory Factor (8 papers), Inflammatory Biomarkers in Disease Prognosis (7 papers), RNA modifications and cancer (7 papers) and Cardiac Ischemia and Reperfusion (7 papers). The work is most often cited by research in Cancer Research (330 citations), Cardiology and Cardiovascular Medicine (483 citations), Nephrology (124 citations), Endocrinology, Diabetes and Metabolism (221 citations) and Immunology (232 citations). Yi‐Ning Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bang‐Dang Chen, Xiao‐Mei Li, Xiang Xie, Fen Liu, Zhen-Yan Fu, Xiang Ma, Yi-Tong Ma, Yi‐Tong Ma, Fen Liu and Yitong Ma. Their work appears in journals such as Lipids in Health and Disease, Scientific Reports, PLoS ONE, Oncotarget and BMC Cardiovascular Disorders.
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.