Dake Qi

56 papers receiving 2.2k citations

Peers

Dake Qi
Comparison fields: 5 of 98
  • Biological Psychiatry 41
  • Pathology and Forensic Medicine 327
  • Cardiology and Cardiovascular Medicine 447
  • Immunology 251
  • Biochemistry 69
Replace Tae Woo Jung with:
Tae Woo Jung South Korea
Carrie M. Elks United States
Heng Ma China
Sean P. Didion United States
Nithya Mariappan United States
Takeshi Miyatsuka Japan
Xiao‐Lian Shi China
Yun‐Feng Guan China
Olivia Osborn United States
Guillermo Zalba Spain
Dake Qi relative to Tae Woo Jung South Korea Tae Woo Jung's profile →
Citations per field
00.5×2×3×4×4.7×
Tae Woo Jung · 1×
Citations per year

Countries citing papers authored by Dake Qi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dake Qi Line = papers co-authored together Dake Qi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015249
2 2009159
3 2011145
4 2006124
5 2005113
6 200486
7 201285
8 200475
9 201570
10 201769
11 201464
12 200756
13 201254
14 201851
15 200650
16 200647
17 202144
18 202238
19 200437
20 200937

About Dake Qi

Dake Qi is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Immunology, Molecular Biology and Biochemistry, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (13 papers), Macrophage Migration Inhibitory Factor (9 papers), Lipid metabolism and disorders (8 papers), Cardiovascular Function and Risk Factors (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Schizophrenia research and treatment (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Fatty Acid Research and Health (4 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Pathology and Forensic Medicine (327 citations), Cardiology and Cardiovascular Medicine (447 citations), Immunology (251 citations) and Biochemistry (69 citations). Dake Qi has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Lawrence H. Young, Brian B. Rodrigues, Thomas Pulinilkunnil, Sanjoy Ghosh, Ashraf Abrahani, Richard Bucala, 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-Heart and Circulatory Physiology, American Journal of Physiology-Endocrinology and Metabolism, Journal of Clinical Investigation and Oxidative Medicine and Cellular Longevity.

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.

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