Chengchun Tang

2.4k total citations · 1 hit paper
86 papers, 1.6k citations indexed

About

Chengchun Tang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chengchun Tang has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 19 papers in Molecular Biology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chengchun Tang's work include Acute Kidney Injury Research (16 papers), Acute Myocardial Infarction Research (12 papers) and Chronic Kidney Disease and Diabetes (11 papers). Chengchun Tang is often cited by papers focused on Acute Kidney Injury Research (16 papers), Acute Myocardial Infarction Research (12 papers) and Chronic Kidney Disease and Diabetes (11 papers). Chengchun Tang collaborates with scholars based in China, Bangladesh and United States. Chengchun Tang's co-authors include Gaoliang Yan, Yong Qiao, Erfei Luo, Yuhan Qin, Jiantong Hou, Linqing Li, Dong Wang, Dong Wang, Yuyu Yao and Dong Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Chengchun Tang

79 papers receiving 1.6k citations

Hit Papers

align trajectories

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
Chengchun Tang China	21	694	393	364	345	255	86	1.6k
Gaoliang Yan China	20	709 1.0×	361 0.9×	444 1.2×	340 1.0×	247 1.0×	80	1.5k
Yong Qiao China	20	673 1.0×	260 0.7×	419 1.2×	333 1.0×	225 0.9×	77	1.6k
Yuichi Nakamura Japan	24	544 0.8×	526 1.3×	255 0.7×	260 0.8×	215 0.8×	103	1.8k
Sandrine Placier France	23	549 0.8×	397 1.0×	144 0.4×	288 0.8×	195 0.8×	53	1.8k
Wenqi Ma China	21	581 0.8×	135 0.3×	331 0.9×	170 0.5×	133 0.5×	47	1.2k
Evren Caglayan Germany	24	502 0.7×	507 1.3×	120 0.3×	285 0.8×	141 0.6×	62	1.7k
Mehdi A. Fini United States	19	559 0.8×	142 0.4×	298 0.8×	527 1.5×	125 0.5×	30	1.5k
Jun Morinaga Japan	19	374 0.5×	307 0.8×	254 0.7×	112 0.3×	144 0.6×	63	995
Motoi Kobayashi Japan	15	525 0.8×	157 0.4×	213 0.6×	359 1.0×	99 0.4×	21	1.1k
Boris Ivandic Germany	29	678 1.0×	764 1.9×	155 0.4×	254 0.7×	149 0.6×	54	2.1k

Countries citing papers authored by Chengchun Tang

Since Specialization

Citations

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

Fields of papers citing papers by Chengchun Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengchun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengchun Tang. A scholar is included among the top collaborators of Chengchun Tang 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 Chengchun Tang. Chengchun Tang 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

Zhang, Minhao, et al.. (2023). De Ritis Ratio is Associated with Contrast-Associated Acute Kidney Injury Prediction and Long-Term Clinical Outcomes in Patients Undergoing Emergency Percutaneous Coronary Intervention. Angiology. 75(10). 945–953.

Zhao, Xin, Yi Kang, Chengchun Tang, et al.. (2022). Antiplatelet effect, safety, and pharmacokinetics of vicagrel in patients with coronary artery disease undergoing percutaneous coronary intervention. European Heart Journal - Cardiovascular Pharmacotherapy. 8(8). 806–814. 10 indexed citations

10.

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

11.

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

12.

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

13.

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

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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