Yan Tu

1.0k total citations
38 papers, 698 citations indexed

About

Yan Tu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Nephrology. According to data from OpenAlex, Yan Tu has authored 38 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 10 papers in Nephrology. Recurrent topics in Yan Tu's work include Chronic Kidney Disease and Diabetes (5 papers), Erythropoietin and Anemia Treatment (4 papers) and Acute Myocardial Infarction Research (4 papers). Yan Tu is often cited by papers focused on Chronic Kidney Disease and Diabetes (5 papers), Erythropoietin and Anemia Treatment (4 papers) and Acute Myocardial Infarction Research (4 papers). Yan Tu collaborates with scholars based in China, United States and Germany. Yan Tu's co-authors include Ichiro Owan, Jun Qiu, J.E. Onyia, Randall L. Duncan, Charles H. Turner, David B. Burr, Bi‐Cheng Liu, Zuo‐Lin Li, Ri‐Ning Tang and Lianna Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Physiology-Cell Physiology.

In The Last Decade

Yan Tu

34 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Tu China 11 239 140 122 115 101 38 698
Ajit A. Kulkarni United States 14 508 2.1× 48 0.3× 71 0.6× 24 0.2× 91 0.9× 17 1.1k
Miriam Boersema Netherlands 15 410 1.7× 43 0.3× 171 1.4× 20 0.2× 220 2.2× 24 1.2k
Linghong Huang United Kingdom 14 157 0.7× 23 0.2× 53 0.4× 42 0.4× 69 0.7× 41 681
Lei Hong China 19 680 2.8× 105 0.8× 43 0.4× 85 0.7× 97 1.0× 48 1.1k
Francesco Agostini Italy 16 272 1.1× 29 0.2× 100 0.8× 18 0.2× 109 1.1× 39 784
N. Kubota Japan 12 314 1.3× 24 0.2× 24 0.2× 80 0.7× 50 0.5× 15 997
Ningyuan Sun China 14 469 2.0× 52 0.4× 15 0.1× 73 0.6× 69 0.7× 20 790
Joanneke C. Kwekkeboom Netherlands 14 183 0.8× 136 1.0× 19 0.2× 69 0.6× 150 1.5× 23 901
Ursula Föger‐Samwald Austria 11 416 1.7× 30 0.2× 32 0.3× 268 2.3× 65 0.6× 26 760
Kevin K. Frick United States 19 493 2.1× 34 0.2× 66 0.5× 169 1.5× 61 0.6× 32 1.2k

Countries citing papers authored by Yan Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Tu. A scholar is included among the top collaborators of Yan Tu 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 Yan Tu. Yan Tu 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.
Li, Zuo‐Lin, Yan Zhou, Yan Tu, et al.. (2025). The Roxadustat (FG-4592) ameliorates tubulointerstitial fibrosis by promoting intact FGF23 cleavage. Cell Communication and Signaling. 23(1). 200–200. 3 indexed citations
2.
Tu, Yan, et al.. (2024). Roxadustat on Renal Anemia with Macroinflammation: A Retrospective Cohort Study. SHILAP Revista de lepidopterología. 10(3). 193–199. 4 indexed citations
3.
Wu, Qiao, et al.. (2023). Lp(a) and inflammation: a new insight into atherosclerosis. SHILAP Revista de lepidopterología. 3(5). 2 indexed citations
4.
An, Qing, Shuwen Su, Yan Tu, et al.. (2021). Efficacy and safety of antithrombotic therapy with non-vitamin K antagonist oral anticoagulants after transcatheter aortic valve replacement: a systematic review and meta-analysis. Therapeutic Advances in Chronic Disease. 12. 364105306–364105306. 3 indexed citations
5.
Tong, Qi, Chen Zhang, Yan Tu, et al.. (2021). Biosynthesis-based spatial metabolome of Salvia miltiorrhiza Bunge by combining metabolomics approaches with mass spectrometry-imaging. Talanta. 238(Pt 2). 123045–123045. 61 indexed citations
6.
Yin, Qing, Min Yang, Min Li, et al.. (2021). Fibroblast Growth Factor 21 Predicts and Promotes Vascular Calcification in Haemodialysis Patients. SHILAP Revista de lepidopterología. 7(3). 227–240. 9 indexed citations
7.
Zhang, Jianyu, et al.. (2021). Similarities and Differences Between HFmrEF and HFpEF. Frontiers in Cardiovascular Medicine. 8. 678614–678614. 30 indexed citations
8.
Qiu, Shi, Yan Tu, Doudou Huang, et al.. (2021). Selection of appropriate post-harvest processing methods based on the metabolomics analysis of Salvia miltiorrhiza Bunge. Food Research International. 144. 110366–110366. 15 indexed citations
9.
Yang, Yan, Min Gao, Ri‐Ning Tang, et al.. (2020). Association Between the Serum Uric Acid Level and the Severity of Coronary Artery Disease in a Retrospective Study of China Nondialysis CKD Patients. Metabolic Syndrome and Related Disorders. 18(4). 206–211. 6 indexed citations
10.
11.
Wang, Bin, Qing Yin, Yingyan Wang, et al.. (2019). Diaphragmatic dysfunction associates with dyspnoea, fatigue, and hiccup in haemodialysis patients: a cross-sectional study. Scientific Reports. 9(1). 19382–19382. 13 indexed citations
12.
Tu, Yan, et al.. (2019). Optimal Antithrombotic Therapy for Patients with STEMI Undergoing PCI at High Risk of Bleeding. Current Atherosclerosis Reports. 21(6). 22–22. 5 indexed citations
13.
Zhan, Qiong, Yan Tu, Yujia Bai, et al.. (2019). Association between admission plasma 2-oxoglutarate levels and short-term outcomes in patients with acute heart failure: a prospective cohort study. Molecular Medicine. 25(1). 8–8. 7 indexed citations
14.
Tu, Yan, Le‐Ting Zhou, Mingming Pan, et al.. (2018). Peridialysis BP levels and risk of all-cause mortality: a dose-response meta-analysis. Journal of Human Hypertension. 33(1). 41–49. 3 indexed citations
15.
Liu, Hong, Yan Tu, Yan Yang, et al.. (2018). Association of lipoprotein(a) and coronary artery disease in 1003 patients with stage 3–5 chronic kidney disease undergoing coronary angiography. Coronary Artery Disease. 30(2). 137–142. 5 indexed citations
16.
Wei, Qingyang, Hong Liu, Yan Tu, et al.. (2016). The characteristics and mortality risk factors for acute kidney injury in different age groups in China—a cross sectional study. Renal Failure. 38(9). 1413–1417. 9 indexed citations
17.
Tu, Yan, et al.. (2015). Hospital-acquired acute kidney injury: an analysis of baseline estimated glomerular filtration rate and in-hospital mortality. Journal of Nephrology. 29(3). 411–418. 4 indexed citations
18.
Tu, Yan, et al.. (2015). ST-elevation myocardial infarction following systemic inflammatory response syndrome: case report. Cardiovascular journal of South Africa. 26(3). e1–e3. 3 indexed citations
19.
Li, Chen, et al.. (2011). Laboratory investigation of dysfunctional HDL. Chemistry and Physics of Lipids. 165(1). 32–37. 16 indexed citations
20.
Liu, Shenglin, Zhigang Guo, Wenyan Lai, Yan Tu, & Jianting Chen. (2004). [Distribution of -477C/T single nucleotide polymorphism in the promoter region of ABCA1 gene and its significance for plasma lipids levels in normal Chinese Han population].. PubMed. 24(6). 650–2. 2 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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2026