Dake Qi
Impact in
- Biological Psychiatry top 5%
-
- Cardiovascular Function and Risk Factors
Papers in
-
- Metabolism, Diabetes, and Cancer 10
- Immunology 18
- Macrophage Migration Inhibitory Factor 14
- Co-authors
- Lawrence H. Young (8 shared papers)Brian Rodrigues (15 shared papers)An Ding (14 shared papers)Thomas Pulinilkunnil (14 shared papers)Ashraf Abrahani (13 shared papers)Sanjoy Ghosh (12 shared papers)Lin Leng (7 shared papers)Xiaohong Wu (4 shared papers)
- Journals
- Journal of Molecular and Cellular Cardiology (4 papers)American Journal of Physiology-Endocrinology and Metabolism (4 papers)American Journal of Physiology-Heart and Circulatory Physiology (4 papers)Diabetes (3 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Dake Qi
58 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 110
- Biological Psychiatry 58
- Cardiology and Cardiovascular Medicine 406
- Endocrinology, Diabetes and Metabolism 246
- Behavioral Neuroscience 48
- Immunology 285
Countries citing papers authored by Dake Qi
This map shows the geographic impact of Dake Qi'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 Dake Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dake Qi more than expected).
Fields of papers citing papers by Dake Qi
This network shows the impact of papers produced by Dake Qi. 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 Dake Qi. The network helps show where Dake Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dake Qi, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 235 | |
| 2 | 2009 | 153 | |
| 3 | 2011 | 138 | |
| 4 | 2006 | 119 | |
| 5 | 2005 | 107 | |
| 6 | 2004 | 81 | |
| 7 | 2012 | 80 | |
| 8 | 2004 | 71 | |
| 9 | 2015 | 63 | |
| 10 | 2017 | 62 | |
| 11 | 2014 | 54 | |
| 12 | 2007 | 53 | |
| 13 | 2006 | 50 | |
| 14 | 2023 | 49 | |
| 15 | 2012 | 49 | |
| 16 | 2021 | 43 | |
| 17 | 2006 | 42 | |
| 18 | 2004 | 36 | |
| 19 | 2022 | 34 | |
| 20 | 2018 | 34 |
About Dake Qi
Dake Qi is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Physiology and Surgery, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (14 papers), Metabolism, Diabetes, and Cancer (10 papers), Nuclear Receptors and Signaling (7 papers), Adipose Tissue and Metabolism (7 papers), Pancreatic function and diabetes (7 papers), Cardiovascular Function and Risk Factors (5 papers), Apelin-related biomedical research (5 papers) and Lipid metabolism and disorders (4 papers). The work is most often cited by research in Biological Psychiatry (58 citations), Cardiology and Cardiovascular Medicine (406 citations), Endocrinology, Diabetes and Metabolism (246 citations), Behavioral Neuroscience (48 citations) and Immunology (285 citations). Dake Qi has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Lawrence H. Young, Brian Rodrigues, An Ding, Thomas Pulinilkunnil, Ashraf Abrahani, Sanjoy Ghosh, Lin Leng, Xiaohong Wu, Xiaoyue Hu and Girish Kewalramani. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, American Journal of Physiology-Endocrinology and Metabolism, American Journal of Physiology-Heart and Circulatory Physiology, Diabetes and Journal of Clinical Investigation.
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.