Yong Qiao

2.3k total citations · 1 hit paper
77 papers, 1.6k citations indexed

About

Yong Qiao is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yong Qiao has authored 77 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Surgery and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yong Qiao's work include Urological Disorders and Treatments (14 papers), Cancer-related molecular mechanisms research (8 papers) and Acute Kidney Injury Research (8 papers). Yong Qiao is often cited by papers focused on Urological Disorders and Treatments (14 papers), Cancer-related molecular mechanisms research (8 papers) and Acute Kidney Injury Research (8 papers). Yong Qiao collaborates with scholars based in China, Bangladesh and United States. Yong Qiao's co-authors include Gaoliang Yan, Chengchun Tang, Erfei Luo, Jiantong Hou, Yuhan Qin, Dong Wang, Linqing Li, Dong Wang, Boqian Zhu and Bo Liu and has published in prestigious journals such as Journal of Clinical Oncology, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

Yong Qiao

71 papers receiving 1.5k citations

Hit Papers

Role of m6A RNA methylation in cardiovascular disease (Re... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Qiao China 20 673 419 333 315 260 77 1.6k
Xiaolong Wang China 20 495 0.7× 305 0.7× 366 1.1× 204 0.6× 102 0.4× 86 1.2k
Dong Sun China 25 732 1.1× 301 0.7× 280 0.8× 455 1.4× 140 0.5× 129 1.9k
Kohei Shomori Japan 24 775 1.2× 266 0.6× 217 0.7× 286 0.9× 74 0.3× 66 1.6k
Stefan Gauer Germany 22 462 0.7× 142 0.3× 122 0.4× 374 1.2× 86 0.3× 42 1.5k
Ri‐Ning Tang China 24 1.5k 2.2× 560 1.3× 235 0.7× 253 0.8× 197 0.8× 70 2.4k
Elisabetta Faggin Italy 23 574 0.9× 208 0.5× 373 1.1× 474 1.5× 655 2.5× 56 2.0k
Maria Lagerström‐Fermér Sweden 22 653 1.0× 110 0.3× 76 0.2× 341 1.1× 784 3.0× 38 2.0k
Wei Zhu China 26 818 1.2× 376 0.9× 157 0.5× 211 0.7× 58 0.2× 78 2.1k
Zhengyu Luo United States 13 985 1.5× 346 0.8× 183 0.5× 692 2.2× 398 1.5× 22 2.1k

Countries citing papers authored by Yong Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Yong Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Qiao. A scholar is included among the top collaborators of Yong Qiao 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 Yong Qiao. Yong Qiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Shiqi, Gaoliang Yan, Yong Qiao, et al.. (2025). Relationship between stress hyperglycemia ratio and progression of non target coronary lesions: a retrospective cohort study. Diabetology & Metabolic Syndrome. 17(1). 27–27. 1 indexed citations
2.
Zhang, Minhao, et al.. (2025). TRIB2 promotes pulmonary artery smooth muscle cell proliferation through SERCA2 ubiquitination in pulmonary hypertension. Free Radical Biology and Medicine. 243. 414–433.
3.
Zhou, Xuechang, et al.. (2025). Cavitation Performance Analysis in the Runner Region of a Bulb Turbine. Processes. 13(7). 2231–2231.
5.
Liu, Jiahao, Yong Qiao, Bing Yu, et al.. (2023). Functional Characterization and Toxicological Study of Proanthocyanidins in Weaned Pigs. Toxins. 15(9). 558–558. 4 indexed citations
6.
Qin, Yuhan, et al.. (2022). Target Nuclear Factor Erythroid 2‐Related Factor 2 in Pulmonary Hypertension: Molecular Insight into Application. Oxidative Medicine and Cellular Longevity. 2022(1). 7845503–7845503. 7 indexed citations
7.
Huang, Xu, Gaoliang Yan, Yang Zhang, et al.. (2022). Dapagliflozin Attenuates Contrast-induced Acute Kidney Injury by Regulating the HIF-1α/HE4/NF-κB Pathway. Journal of Cardiovascular Pharmacology. 79(6). 904–913. 46 indexed citations
8.
Luo, Erfei, Hongxia Li, Yuhan Qin, et al.. (2021). Role of ferroptosis in the process of diabetes-induced endothelial dysfunction. World Journal of Diabetes. 12(2). 124–137. 112 indexed citations
9.
Qin, Yuhan, Yong Qiao, Dong Wang, Chengchun Tang, & Gaoliang Yan. (2021). Ferritinophagy and ferroptosis in cardiovascular disease: Mechanisms and potential applications. Biomedicine & Pharmacotherapy. 141. 111872–111872. 103 indexed citations
11.
Tang, Chengchun, Dong Wang, Erfei Luo, et al.. (2020). Activation of Inward Rectifier K+ Channel 2.1 by PDGF‐BB in Rat Vascular Smooth Muscle Cells through Protein Kinase A. BioMed Research International. 2020(1). 4370832–4370832. 5 indexed citations
12.
Qin, Yuhan, et al.. (2019). Relationship between Random Blood Glucose, Fasting Blood Glucose, and Gensini Score in Patients with Acute Myocardial Infarction. BioMed Research International. 2019. 1–9. 14 indexed citations
13.
Tang, Chengchun, Jiantong Hou, Gaoliang Yan, et al.. (2019). Effects of Serum Cytochrome c on Contrast-Induced Nephropathy in Patients with ST-Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention. BioMed Research International. 2019. 1–6. 3 indexed citations
14.
Tang, Chengchun, Erfei Luo, Dong Wang, et al.. (2019). Usefulness of Haemoglobin Level Combined with CAMI-STEMI Score for Predicting MACCE in Patients with Acute ST-Elevation Myocardial Infarction after PCI. BioMed Research International. 2019. 1–8. 6 indexed citations
15.
Tang, Chengchun, Hao Qian, Dong Wang, Yong Qiao, & Gaoliang Yan. (2019). Prognostic Value of Serum Total Bilirubin after Percutaneous Coronary Intervention in Patients with Acute Coronary Syndrome. BioMed Research International. 2019. 1–6. 8 indexed citations
16.
Luo, Erfei, Dong Wang, Gaoliang Yan, et al.. (2019). High triglyceride–glucose index is associated with poor prognosis in patients with acute ST-elevation myocardial infarction after percutaneous coronary intervention. Cardiovascular Diabetology. 18(1). 150–150. 189 indexed citations
17.
Zhu, Boqian, Yaoyao Gong, Gaoliang Yan, et al.. (2017). Down-regulation of lncRNA MEG3 promotes hypoxia-induced human pulmonary artery smooth muscle cell proliferation and migration via repressing PTEN by sponging miR-21. Biochemical and Biophysical Research Communications. 495(3). 2125–2132. 64 indexed citations
18.
Qiao, Yong, et al.. (2008). Association of the H-FABP and PPARy gene expression with intramuscular fat content in Hu sheep muscles. Zhongguo nongye Kexue. 1 indexed citations
19.
Xu, Yuhong, et al.. (2007). MP-22.07: The main causes of surgical failure in the treatment of the posterior urethral stricture. Urology. 70(3). 168–168. 1 indexed citations
20.
Xu, Yuemin, Yong Qiao, Huizhen Zhang, et al.. (2002). An experimental study of colonic mucosal graft for urethral reconstruction.. PubMed. 115(8). 1163–5. 10 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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