Gaoliang Yan

2.2k total citations · 1 hit paper
80 papers, 1.5k citations indexed

About

Gaoliang Yan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Gaoliang Yan has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 24 papers in Molecular Biology and 22 papers in Cancer Research. Recurrent topics in Gaoliang Yan's work include Acute Kidney Injury Research (17 papers), Chronic Kidney Disease and Diabetes (11 papers) and Cancer-related molecular mechanisms research (10 papers). Gaoliang Yan is often cited by papers focused on Acute Kidney Injury Research (17 papers), Chronic Kidney Disease and Diabetes (11 papers) and Cancer-related molecular mechanisms research (10 papers). Gaoliang Yan collaborates with scholars based in China, Bangladesh and Australia. Gaoliang Yan's co-authors include Chengchun Tang, Yong Qiao, Erfei Luo, Yuhan Qin, Jiantong Hou, Dong Wang, Linqing Li, Dong Wang, Dong Wang and Boqian Zhu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Gaoliang Yan

74 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Role of m6A RNA methylation in cardiovascular disease (Review)

2020 205 citations Yuhan Qin, Erfei Luo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gaoliang Yan China	20	709	444	361	340	247	80	1.5k
Chengchun Tang China	21	694 1.0×	364 0.8×	393 1.1×	345 1.0×	255 1.0×	86	1.6k
Yong Qiao China	20	673 0.9×	419 0.9×	260 0.7×	333 1.0×	225 0.9×	77	1.6k
Dong Sun China	25	732 1.0×	301 0.7×	140 0.4×	280 0.8×	134 0.5×	129	1.9k
Wenqi Ma China	21	581 0.8×	331 0.7×	135 0.4×	170 0.5×	133 0.5×	47	1.2k
Shinji Hagiwara Japan	23	651 0.9×	283 0.6×	184 0.5×	141 0.4×	245 1.0×	104	1.9k
Sandrine Placier France	23	549 0.8×	144 0.3×	397 1.1×	288 0.8×	195 0.8×	53	1.8k
Evren Caglayan Germany	24	502 0.7×	120 0.3×	507 1.4×	285 0.8×	141 0.6×	62	1.7k
Yufeng Huang United States	22	667 0.9×	188 0.4×	603 1.7×	203 0.6×	606 2.5×	57	2.0k
Lan Xiao China	17	563 0.8×	397 0.9×	251 0.7×	71 0.2×	298 1.2×	34	1.3k
Jun Morinaga Japan	19	374 0.5×	254 0.6×	307 0.9×	112 0.3×	144 0.6×	63	995

Countries citing papers authored by Gaoliang Yan

Since Specialization

Citations

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

Fields of papers citing papers by Gaoliang Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoliang Yan

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

All Works

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20 of 20 papers shown

Yan, Gaoliang, et al.. (2025). Data-driven analysis of the relationship between the HbA1c/HDL-C ratio and coronary artery calcification: a cross-sectional study. Scientific Reports. 15(1). 31865–31865.

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

Zhang, Minhao, et al.. (2025). The role of tribbles homolog 2 in cell proliferation. Cell Communication and Signaling. 23(1). 5–5. 2 indexed citations

Yan, Gaoliang, et al.. (2024). Sex Differences in the Associations among Insulin Resistance Indexes with Metabolic Syndrome: A Large Cross‐Sectional Study. International Journal of Endocrinology. 2024(1). 3352531–3352531. 8 indexed citations

Yan, Gaoliang, et al.. (2024). Identifying metabolic dysfunction-associated steatotic liver disease in patients with hypertension and pre-hypertension: An interpretable machine learning approach. Digital Health. 10. 599876847–599876847. 4 indexed citations

Qin, Yuhan, et al.. (2023). Identification of hub genes based on integrated analysis of single-cell and microarray transcriptome in patients with pulmonary arterial hypertension. BMC Genomics. 24(1). 788–788. 10 indexed citations

Wang, Yanjuan, Zan Wang, Gaoliang Yan, et al.. (2023). Predicting cerebral white matter lesions based on the platelet-to-white blood cell ratio in hypertensive patients. Brain Research. 1808. 148340–148340. 1 indexed citations

Yan, Gaoliang, et al.. (2023). The Differences of Quantitative Flow Ratio in Coronary Artery Stenosis with or without Atrial Fibrillation. Journal of Interventional Cardiology. 2023. 1–11.

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

10.

Yan, Gaoliang, et al.. (2022). The Association of Serum AIM2 Level with the Prediction and Short-Term Prognosis of Coronary Artery Disease. Journal of the Renin-Angiotensin-Aldosterone System. 2022. 6774416–6774416. 4 indexed citations

11.

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

12.

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

13.

Zhu, Boqian, Linqing Li, Dong Wang, et al.. (2020). Overexpressed lncRNA AC068039.4 Contributes to Proliferation and Cell Cycle Progression of Pulmonary Artery Smooth Muscle Cells Via Sponging miR-26a-5p/TRPC6 in Hypoxic Pulmonary Arterial Hypertension. Shock. 55(2). 244–255. 19 indexed citations

14.

Tang, Chengchun, et al.. (2020). Relation of Fibrinogen‐to‐Albumin Ratio to Severity of Coronary Artery Disease and Long‐Term Prognosis in Patients with Non‐ST Elevation Acute Coronary Syndrome. BioMed Research International. 2020(1). 26 indexed citations

15.

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

16.

Yan, Gaoliang, et al.. (2020). Effect of Combining Furosemide With Standard Hydration Therapy on Contrast-Induced Acute Kidney Injury Following Coronary Angiography or Intervention in a High-Risk Population. Angiology. 72(2). 138–144. 7 indexed citations

17.

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

18.

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

19.

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

20.

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

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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