Qi Yu
Impact in
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- Cardiovascular Disease and Adiposity
Papers in
- Epidemiology 12
- Adipokines, Inflammation, and Metabolic Diseases 8
- Liver Disease Diagnosis and Treatment 4
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- Cardiovascular Disease and Adiposity 3
- Co-authors
- Jianglin Fan (12 shared papers)Enqi Liu (12 shared papers)Ahmed Bilal Waqar (5 shared papers)Sihai Zhao (7 shared papers)Penghui Yang (5 shared papers)Yanli Wang (5 shared papers)Ying Yu (2 shared papers)Ling‐Ping Zhao (1 shared paper)
- Journals
- Nutrition & Metabolism (1 paper)International Journal of COPD (1 paper)Hepatology (1 paper)Thrombosis Research (1 paper)Journal of Thrombosis and Thrombolysis (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Qi Yu
20 papers receiving 313 citations
Peers
Comparison fields: 5 of 83
- Sensory Systems 20
- Cardiology and Cardiovascular Medicine 74
- Immunology 57
- Epidemiology 92
- Endocrinology, Diabetes and Metabolism 40
Countries citing papers authored by Qi Yu
This map shows the geographic impact of Qi Yu'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 Qi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Yu more than expected).
Fields of papers citing papers by Qi Yu
This network shows the impact of papers produced by Qi Yu. 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 Qi Yu. The network helps show where Qi Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Yu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 73 | |
| 2 | 2015 | 38 | |
| 3 | 1994 | 31 | |
| 4 | 2012 | 31 | |
| 5 | 2009 | 25 | |
| 6 | 2012 | 19 | |
| 7 | 2008 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2014 | 12 | |
| 11 | 2011 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2018 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2010 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2015 | 1 | |
| 20 | TNFa 2308 G/A polymorphism is associated with breast cancer risk: a meta-analysis involving 10,184 cases and 12,911 controls | 2010 | 1 |
About Qi Yu
Qi Yu is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 319 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Liver Disease Diagnosis and Treatment (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Diet, Metabolism, and Disease (3 papers), Cardiovascular Disease and Adiposity (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Sensory Systems (20 citations), Cardiology and Cardiovascular Medicine (74 citations), Immunology (57 citations), Epidemiology (92 citations) and Endocrinology, Diabetes and Metabolism (40 citations). Qi Yu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jianglin Fan, Enqi Liu, Ahmed Bilal Waqar, Sihai Zhao, Penghui Yang, Yanli Wang, Ying Yu, Ling‐Ping Zhao, Masashi Shiomi and Xueyong Zhu. Their work appears in journals such as Nutrition & Metabolism, International Journal of COPD, Hepatology, Thrombosis Research and Journal of Thrombosis and Thrombolysis.
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.