Qidi Ying

420 total citations
17 papers, 300 citations indexed

About

Qidi Ying is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Qidi Ying has authored 17 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Qidi Ying's work include Lipoproteins and Cardiovascular Health (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Cancer, Lipids, and Metabolism (3 papers). Qidi Ying is often cited by papers focused on Lipoproteins and Cardiovascular Health (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Cancer, Lipids, and Metabolism (3 papers). Qidi Ying collaborates with scholars based in Australia, China and United States. Qidi Ying's co-authors include Guanzhong Wu, Dick C. Chan, Gerald F. Watts, Jing Pang, P. Hugh R. Barrett, Lingman Ma, Qian Yu, Qing Wei, Zhaoshi Bai and Xin Xie and has published in prestigious journals such as Metabolism, Journal of Internal Medicine and Cell Death and Disease.

In The Last Decade

Qidi Ying

14 papers receiving 299 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qidi Ying Australia 9 114 107 63 59 49 17 300
Darko Černe Slovenia 14 144 1.3× 97 0.9× 122 1.9× 49 0.8× 50 1.0× 35 427
Montserrat B. Duran-Salgado Mexico 4 107 0.9× 42 0.4× 34 0.5× 109 1.8× 69 1.4× 6 349
Himanshu Sankrityayan India 14 130 1.1× 37 0.3× 45 0.7× 121 2.1× 54 1.1× 20 410
Diego Scerbo United States 9 196 1.7× 77 0.7× 46 0.7× 25 0.4× 135 2.8× 11 392
Hye Jin Wang South Korea 11 161 1.4× 146 1.4× 56 0.9× 22 0.4× 134 2.7× 14 503
Donghee Kim South Korea 11 206 1.8× 58 0.5× 25 0.4× 62 1.1× 41 0.8× 24 366
Lingfeng Zeng China 10 211 1.9× 44 0.4× 66 1.0× 149 2.5× 36 0.7× 23 450
Ningning Liang China 9 185 1.6× 39 0.4× 66 1.0× 66 1.1× 29 0.6× 13 380
Delia Silverio United States 9 81 0.7× 123 1.1× 38 0.6× 15 0.3× 82 1.7× 10 301
Jing Lv China 10 117 1.0× 42 0.4× 24 0.4× 67 1.1× 22 0.4× 17 337

Countries citing papers authored by Qidi Ying

Since Specialization
Citations

This map shows the geographic impact of Qidi Ying'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 Qidi Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qidi Ying more than expected).

Fields of papers citing papers by Qidi Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qidi Ying. 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 Qidi Ying. The network helps show where Qidi Ying may publish in the future.

Co-authorship network of co-authors of Qidi Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Qidi Ying. A scholar is included among the top collaborators of Qidi Ying based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qidi Ying. Qidi Ying is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ying, Qidi, et al.. (2025). Evaluating the incremental value of an expanded cardiovascular health score for the prevalence of abdominal aortic calcification among middle-aged and elderly individuals. International Journal of Cardiology Cardiovascular Risk and Prevention. 29. 200389–200389.
2.
Li, Qing, et al.. (2025). Between Scylla and Charybdis – Enigmatic role of lipoprotein(a) in atherosclerotic cardiovascular disease and type 2 diabetes mellitus. Diabetes Research and Clinical Practice. 229. 112940–112940.
3.
Yuan, Yong, Qidi Ying, Jiachen Luo, et al.. (2025). Influence of Left Ventricular Mass Index on Clinical Outcomes in Patients with Acute Myocardial Infarction. International Heart Journal. 66(2). 193–201. 1 indexed citations
5.
Ward, Natalie C., Qidi Ying, Dick C. Chan, et al.. (2023). Improved arterial inflammation with high dose omega-3 fatty acids in patients with elevated lipoprotein(a): Selective effect of eicosapentaenoic acid?. Journal of clinical lipidology. 17(5). 694–699. 8 indexed citations
6.
Ying, Qidi, Dick C. Chan, Jing Pang, et al.. (2023). Effect of omega-3 fatty acid ethyl esters on postprandial arterial elasticity in patients with familial hypercholesterolemia. Clinical Nutrition ESPEN. 55. 174–177. 2 indexed citations
7.
Ying, Qidi, Mikaël Croyal, Dick C. Chan, et al.. (2022). Effect of Omega-3 Fatty Acid Supplementation on the Postprandial Metabolism of Apolipoprotein(a) in Familial Hypercholesterolemia. Journal of Atherosclerosis and Thrombosis. 30(3). 274–286. 2 indexed citations
8.
Ying, Qidi, et al.. (2022). Effect of a PCSK9 inhibitor and a statin on cholesterol efflux capacity: A limitation of current cholesterol‐lowering treatments?. European Journal of Clinical Investigation. 52(7). e13766–e13766. 8 indexed citations
9.
Ying, Qidi, Dick C. Chan, Jing Pang, et al.. (2022). PCSK9 inhibition with alirocumab decreases plasma lipoprotein(a) concentration by a dual mechanism of action in statin‐treated patients with very high apolipoprotein(a) concentration. Journal of Internal Medicine. 291(6). 870–876. 9 indexed citations
10.
Ying, Qidi, Dick C. Chan, P. Hugh R. Barrett, & Gerald F. Watts. (2021). Unravelling lipoprotein metabolism with stable isotopes: tracing the flow. Metabolism. 124. 154887–154887. 11 indexed citations
11.
Ying, Qidi, Dick C. Chan, & Gerald F. Watts. (2021). New Insights Into the Regulation of Lipoprotein Metabolism by PCSK9: Lessons From Stable Isotope Tracer Studies in Human Subjects. Frontiers in Physiology. 12. 603910–603910. 10 indexed citations
12.
Chan, Dick C., Qidi Ying, & Gerald F. Watts. (2021). Recent dynamic studies of the metabolism of atherogenic lipoproteins: elucidating the mode of action of new therapies. Current Opinion in Lipidology. 32(6). 378–385. 5 indexed citations
13.
Watts, Gerald F., Dick C. Chan, Jing Pang, et al.. (2020). PCSK9 Inhibition with alirocumab increases the catabolism of lipoprotein(a) particles in statin-treated patients with elevated lipoprotein(a). Metabolism. 107. 154221–154221. 51 indexed citations
14.
Yu, Qian, Qidi Ying, Xin Xie, et al.. (2019). Decrease of AIM2 mediated by luteolin contributes to non-small cell lung cancer treatment. Cell Death and Disease. 10(3). 218–218. 77 indexed citations
15.
Qian, Lifen, Lingman Ma, Guanzhong Wu, et al.. (2017). G004, a synthetic sulfonylurea compound, exerts anti-atherosclerosis effects by targeting SIRT1 in ApoE −/− mice. Vascular Pharmacology. 89. 49–57. 13 indexed citations
16.
Ying, Qidi & Guanzhong Wu. (2017). Molecular mechanisms involved in podocyte EMT and concomitant diabetic kidney diseases: an update. Renal Failure. 39(1). 474–483. 98 indexed citations
17.
Ma, Lingman, Lifen Qian, Qidi Ying, et al.. (2016). I 4 , a synthetic anti-diabetes agent, attenuates atherosclerosis through its lipid-lowering, anti-inflammatory and anti-apoptosis properties. Molecular and Cellular Endocrinology. 440. 80–92. 5 indexed citations

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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