Shun-Lin Qu

432 total citations
12 papers, 330 citations indexed

About

Shun-Lin Qu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Shun-Lin Qu has authored 12 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Shun-Lin Qu's work include Cardiovascular Disease and Adiposity (5 papers), Extracellular vesicles in disease (4 papers) and Drug Transport and Resistance Mechanisms (2 papers). Shun-Lin Qu is often cited by papers focused on Cardiovascular Disease and Adiposity (5 papers), Extracellular vesicles in disease (4 papers) and Drug Transport and Resistance Mechanisms (2 papers). Shun-Lin Qu collaborates with scholars based in China. Shun-Lin Qu's co-authors include Wenling Yang, Liang Huang, Wenjing Fan, Qian Zeng, Xuan Xiao, Yizhang Liu, Yang Chen, Liang Huang, Xuan Xiao and Tao Chen and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Clinica Chimica Acta and Frontiers in Pharmacology.

In The Last Decade

Shun-Lin Qu

12 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shun-Lin Qu China	11	185	83	79	69	42	12	330
Li-Min Lei China	11	192 1.0×	52 0.6×	103 1.3×	28 0.4×	52 1.2×	19	315
Zhipeng Yan China	15	271 1.5×	80 1.0×	64 0.8×	55 0.8×	83 2.0×	23	486
Qiu-Shuang Xu China	12	205 1.1×	55 0.7×	111 1.4×	32 0.5×	56 1.3×	19	363
Huibo Wang China	8	163 0.9×	80 1.0×	57 0.7×	37 0.5×	25 0.6×	13	321
Naveen K Somanna United States	10	211 1.1×	205 2.5×	56 0.7×	69 1.0×	41 1.0×	14	454
Francesca Bartoli‐Leonard United States	7	105 0.6×	67 0.8×	32 0.4×	35 0.5×	37 0.9×	17	275
Ilaria Burba Italy	7	179 1.0×	57 0.7×	109 1.4×	51 0.7×	23 0.5×	10	352
Andrea Grund Germany	13	231 1.2×	141 1.7×	47 0.6×	31 0.4×	40 1.0×	17	458
Tania Tsatralis Australia	10	191 1.0×	30 0.4×	79 1.0×	37 0.5×	34 0.8×	11	335

Countries citing papers authored by Shun-Lin Qu

Since Specialization

Citations

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

Fields of papers citing papers by Shun-Lin Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun-Lin Qu. 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 Shun-Lin Qu. The network helps show where Shun-Lin Qu may publish in the future.

Co-authorship network of co-authors of Shun-Lin Qu

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

All Works

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12 of 12 papers shown

Liu, Yizhang, et al.. (2021). Oxidative stress in vascular calcification. Clinica Chimica Acta. 519. 101–110. 51 indexed citations

Tan, Yao, et al.. (2021). Targeting the microRNAs in exosome: A potential therapeutic strategy for alleviation of diabetes-related cardiovascular complication. Pharmacological Research. 173. 105868–105868. 21 indexed citations

Xiao, Xuan, et al.. (2021). Adipokines in vascular calcification. Clinica Chimica Acta. 516. 15–26. 12 indexed citations

Hu, Heng-Jing, Xiuheng Wang, Yao Liu, et al.. (2021). Hydrogen Sulfide Ameliorates Angiotensin II-Induced Atrial Fibrosis Progression to Atrial Fibrillation Through Inhibition of the Warburg Effect and Endoplasmic Reticulum Stress. Frontiers in Pharmacology. 12. 690371–690371. 18 indexed citations

Tang, Ying, et al.. (2020). TGF-β signaling and microRNA cross-talk regulates abdominal aortic aneurysm progression. Clinica Chimica Acta. 515. 90–95. 14 indexed citations

Yang, Wenling, et al.. (2020). Intestinal microbiota-farnesoid X receptor axis in metabolic diseases. Clinica Chimica Acta. 509. 167–171. 8 indexed citations

Deng, Wenyi, Tingting Tang, Qian Zeng, et al.. (2019). Extracellular vesicles in atherosclerosis. Clinica Chimica Acta. 495. 109–117. 50 indexed citations

Yang, Wenling, et al.. (2019). Extracellular vesicles in vascular calcification. Clinica Chimica Acta. 499. 118–122. 39 indexed citations

Fan, Wenjing, et al.. (2019). Farnesoid X receptor: An important factor in blood glucose regulation. Clinica Chimica Acta. 495. 29–34. 16 indexed citations

10.

Hu, Heng-Jing, Chi Zhang, Zhi‐Han Tang, Shun-Lin Qu, & Zhi‐Sheng Jiang. (2019). Regulating the Warburg effect on metabolic stress and myocardial fibrosis remodeling and atrial intracardiac waveform activity induced by atrial fibrillation. Biochemical and Biophysical Research Communications. 516(3). 653–660. 25 indexed citations

11.

Xiao, Xuan, et al.. (2019). S100 proteins in atherosclerosis. Clinica Chimica Acta. 502. 293–304. 60 indexed citations

12.

Zhou, Fan, et al.. (2019). The emerging roles of extracellular vesicles in diabetes and diabetic complications. Clinica Chimica Acta. 497. 130–136. 16 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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