Shaoli Chu

408 total citations
23 papers, 326 citations indexed

About

Shaoli Chu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Shaoli Chu has authored 23 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 9 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in Shaoli Chu's work include Cardiovascular Health and Disease Prevention (7 papers), Hormonal Regulation and Hypertension (6 papers) and Blood Pressure and Hypertension Studies (5 papers). Shaoli Chu is often cited by papers focused on Cardiovascular Health and Disease Prevention (7 papers), Hormonal Regulation and Hypertension (6 papers) and Blood Pressure and Hypertension Studies (5 papers). Shaoli Chu collaborates with scholars based in China, Australia and United States. Shaoli Chu's co-authors include Wenquan Niu, Pingjin Gao, Xiaobo Li, Dingliang Zhu, Yuqiong Li, Shujie Guo, Nan Jia, Ji‐Guang Wang, Jinxiu Lin and Feng Peng and has published in prestigious journals such as PLoS ONE, Gene and International Journal of Environmental Research and Public Health.

In The Last Decade

Shaoli Chu

22 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaoli Chu China 12 156 98 93 79 45 23 326
Kwan-Lih Hsu Taiwan 11 208 1.3× 74 0.8× 56 0.6× 46 0.6× 55 1.2× 35 331
Li Jin Pu China 10 120 0.8× 141 1.4× 75 0.8× 77 1.0× 21 0.5× 12 389
Camille Marciniak France 10 92 0.6× 81 0.8× 102 1.1× 103 1.3× 25 0.6× 27 332
Tse‐Ya Yu Taiwan 10 64 0.4× 138 1.4× 128 1.4× 79 1.0× 19 0.4× 14 363
Rui‐Xiang Zeng China 12 161 1.0× 63 0.6× 91 1.0× 41 0.5× 28 0.6× 34 408
Rika Araki Japan 11 214 1.4× 123 1.3× 104 1.1× 97 1.2× 66 1.5× 19 459
Konstantinos Markakis Greece 10 114 0.7× 109 1.1× 47 0.5× 133 1.7× 50 1.1× 14 345
Shing-Jong Lin Taiwan 15 238 1.5× 74 0.8× 119 1.3× 167 2.1× 39 0.9× 26 489
Marcello Ravani Italy 10 172 1.1× 61 0.6× 72 0.8× 47 0.6× 38 0.8× 27 296
Shih‐Jie Jhuo Taiwan 11 222 1.4× 166 1.7× 97 1.0× 97 1.2× 49 1.1× 23 377

Countries citing papers authored by Shaoli Chu

Since Specialization
Citations

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

Fields of papers citing papers by Shaoli Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoli Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoli Chu. A scholar is included among the top collaborators of Shaoli Chu 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 Shaoli Chu. Shaoli Chu 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.
Chu, Shaoli, et al.. (2023). Arterial Stiffness as a Predictor of the Index of Atherosclerotic Cardiovascular Disease in Hypertensive Patients. International Journal of Environmental Research and Public Health. 20(4). 2832–2832. 6 indexed citations
2.
Zuo, Junli, et al.. (2017). Association of Haemodynamic Indices of Central and Peripheral Pressure with Subclinical Target Organ Damage. PubMed. 5(1-4). 133–143. 3 indexed citations
3.
Zhang, Ying, Hua Zhang, Wenlong Zhou, et al.. (2016). Comparison between adrenal venous sampling and computed tomography in the diagnosis of primary aldosteronism and in the guidance of adrenalectomy. Medicine. 95(39). e4986–e4986. 28 indexed citations
4.
5.
Li, Yuqiong, Xiaobo Li, Shujie Guo, et al.. (2013). Apocynin attenuates oxidative stress and cardiac fibrosis in angiotensin II-induced cardiac diastolic dysfunction in mice. Acta Pharmacologica Sinica. 34(3). 352–359. 43 indexed citations
6.
7.
Peng, Feng, Dan Hu, Xiaobo Li, et al.. (2013). The relationship between five widely-evaluated variants in CDKN2A/B and CDKAL1 genes and the risk of type 2 diabetes: A meta-analysis. Gene. 531(2). 435–443. 28 indexed citations
8.
Peng, Feng, Dan Hu, Nan Jia, et al.. (2013). Association of Four Genetic Polymorphisms of AGER and Its Circulating Forms with Coronary Artery Disease: A Meta-Analysis. PLoS ONE. 8(7). e70834–e70834. 14 indexed citations
9.
Li, Xiaobo, Yue Qi, Yuqiong Li, et al.. (2013). Impact of Mineralocorticoid Receptor Antagonists on Changes in Cardiac Structure and Function of Left Ventricular Dysfunction. Circulation Heart Failure. 6(2). 156–165. 28 indexed citations
10.
Li, Xiaobo, Yuqiong Li, Nan Jia, et al.. (2012). Angiotensin-converting enzyme gene deletion allele increases the risk of left ventricular hypertrophy: evidence from a meta-analysis. Molecular Biology Reports. 39(12). 10063–10075. 16 indexed citations
11.
Li, Xiaobo, Yuqiong Li, Bei Song, et al.. (2012). Hematopoietically-Expressed Homeobox Gene Three Widely-Evaluated Polymorphisms and Risk for Diabetes: A Meta-Analysis. PLoS ONE. 7(11). e49917–e49917. 20 indexed citations
12.
Li, Yan, et al.. (2011). Association of renal function with the ambulatory arterial stiffness index and pulse pressure in hypertensive patients. Hypertension Research. 35(2). 201–206. 11 indexed citations
13.
Zuo, Junli, Yan Li, Ruiyan Zhang, et al.. (2010). Validation of the central blood pressure estimation by the SphygmoCor system in Chinese. Blood Pressure Monitoring. 15(5). 268–274. 32 indexed citations
14.
Hu, Bangchuan, Li Li, Renhua Sun, et al.. (2010). The association between transforming growth factor β3 polymorphisms and left ventricular structure in hypertensive subjects. Clinica Chimica Acta. 411(7-8). 558–562. 11 indexed citations
15.
Chu, Shaoli. (2009). The Agreement Between Noninvasive and Invasive Central Blood Pressure Measurements.
16.
Zuo, Junli, Shaoli Chu, Yan Li, et al.. (2009). Validation of the central blood pressure estimation by the SphygmoCor system in Chinese. International Journal of Cardiology. 137. S18–S18. 1 indexed citations
17.
Hu, Bangchuan, Shaoli Chu, Guliang Wang, et al.. (2008). Association between Genetic Variation in Transforming Growth Factors β1 and β3 and Renal Dysfunction in Non-Diabetic Chinese. Clinical and Experimental Hypertension. 30(2). 121–131. 7 indexed citations
18.
Hu, Bangchuan, et al.. (2006). [Single nucleotide polymorphisms of three candidate genes in essential hypertension].. PubMed. 45(4). 281–4. 9 indexed citations
19.
Hu, Bangchuan, et al.. (2006). [Association of aldosterone synthase gene -344T/C polymorphism with plasma aldosterone and angiotensin II concentration in hypertensive patients].. PubMed. 86(16). 1144–7. 4 indexed citations
20.
Zhu, Dingliang, Wei Huang, Momiao Xiong, et al.. (2002). Linkage analysis of a region on chromosome 2 with essential hypertension in Chinese families.. PubMed. 115(5). 654–7. 4 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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