Chong Shen

5.8k total citations · 2 hit papers
189 papers, 3.1k citations indexed

About

Chong Shen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chong Shen has authored 189 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 42 papers in Cardiology and Cardiovascular Medicine and 39 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chong Shen's work include Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Obesity, Physical Activity, Diet (18 papers) and Nutritional Studies and Diet (17 papers). Chong Shen is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Obesity, Physical Activity, Diet (18 papers) and Nutritional Studies and Diet (17 papers). Chong Shen collaborates with scholars based in China, United States and Sweden. Chong Shen's co-authors include Dongfeng Gu, Jichun Chen, Jianxin Li, Jianfeng Huang, Xueli Yang, Ling Yu, Dongsheng Hu, Xianping Wu, Xiangfeng Lu and Jie Cao and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Chong Shen

171 papers receiving 3.1k citations

Hit Papers

Predicting the 10-Year Risks of Atherosclerotic Cardiovas... 2016 2026 2019 2022 2016 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chong Shen China 28 679 534 512 481 435 189 3.1k
Jung Pyo Lee South Korea 34 417 0.6× 564 1.1× 393 0.8× 432 0.9× 364 0.8× 257 4.3k
Binyan Wang China 36 626 0.9× 592 1.1× 434 0.8× 454 0.9× 504 1.2× 219 4.3k
Xueli Yang China 29 664 1.0× 616 1.2× 643 1.3× 398 0.8× 482 1.1× 190 3.8k
Chun Soo Lim South Korea 39 662 1.0× 612 1.1× 409 0.8× 635 1.3× 420 1.0× 251 5.4k
Xiping Xu China 34 803 1.2× 613 1.1× 428 0.8× 516 1.1× 664 1.5× 206 4.3k
Mian Li China 30 623 0.9× 605 1.1× 828 1.6× 749 1.6× 317 0.7× 159 3.5k
Xiangfeng Lu China 29 808 1.2× 490 0.9× 319 0.6× 332 0.7× 362 0.8× 146 3.3k
Xiang Li China 35 708 1.0× 1.1k 2.0× 380 0.7× 454 0.9× 598 1.4× 189 4.1k
Jianping Li China 34 1.1k 1.6× 813 1.5× 428 0.8× 437 0.9× 332 0.8× 326 4.7k
Cornelia Huth Germany 36 441 0.6× 650 1.2× 703 1.4× 613 1.3× 300 0.7× 86 2.9k

Countries citing papers authored by Chong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Shen. A scholar is included among the top collaborators of Chong Shen 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 Chong Shen. Chong Shen 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.
Zhou, Tao, Chenxi Yuan, Chong Shen, et al.. (2025). Association between physical activity and incident atherosclerotic cardiovascular disease is modified by predicted cardiovascular risk: The China-PAR project. Journal of sport and health science. 14. 101031–101031. 1 indexed citations
4.
Han, Minghui, Keyong Huang, Chong Shen, et al.. (2024). Discordant High Remnant Cholesterol With LDL-C Increases the Risk of Stroke: A Chinese Prospective Cohort Study. Stroke. 55(8). 2066–2074. 8 indexed citations
5.
Shen, Chong, et al.. (2024). Intelligent Bionic Polarization Orientation Method Using Biological Neuron Model for Harsh Conditions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 789–806. 9 indexed citations
6.
Yang, Siyuan, et al.. (2024). Multicenter Validation of lncRNA and Target mRNA Diagnostic and Prognostic Biomarkers of Acute Ischemic Stroke From Peripheral Blood Leukocytes. Journal of the American Heart Association. 13(14). e034764–e034764. 3 indexed citations
7.
Chen, Changying, Fangyuan Liu, Congyong Sun, et al.. (2023). SNP rs3803264 polymorphisms in THSD1 and abnormally expressed mRNA are associated with hemorrhagic stroke. Frontiers in Aging Neuroscience. 15. 1144364–1144364.
8.
Jiang, Yingying, Fangchao Liu, Chong Shen, et al.. (2023). Lifestyle improvement and the reduced risk of cardiovascular disease: the China-PAR project. Journal of Geriatric Cardiology. 20(11). 779–787. 3 indexed citations
9.
Zhao, Xianghai, Xiangfeng Lu, Yan Chen, et al.. (2023). Interactive effect of increased high sensitive C-reactive protein and dyslipidemia on cardiovascular diseases: a 12-year prospective cohort study. Lipids in Health and Disease. 22(1). 95–95. 19 indexed citations
11.
Shen, Chong, et al.. (2023). Biomarkers selection and mathematical modeling in biological age estimation. PubMed. 9(1). 13–13. 38 indexed citations
12.
Liu, Hongwei, Jianxin Li, Fangchao Liu, et al.. (2023). Efficacy and safety of low levels of low-density lipoprotein cholesterol: trans-ancestry linear and non-linear Mendelian randomization analyses. European Journal of Preventive Cardiology. 30(12). 1207–1215. 16 indexed citations
13.
Hao, Yu, Yu Qin, Jie Yang, et al.. (2023). Association of gamma‐glutamyl transferase concentrations with all‐cause and cause‐specific mortality in Chinese adults with type 2 diabetes. Journal of Diabetes. 15(8). 674–684. 4 indexed citations
14.
Liu, Fangchao, Jianxin Li, Jichun Chen, et al.. (2023). Sex Differences in Associations Between Socioeconomic Status and Incident Hypertension Among Chinese Adults. Hypertension. 80(4). 783–791. 19 indexed citations
15.
Yuan, Chenxi, Fangchao Liu, Keyong Huang, et al.. (2023). Association of Long-Term Exposure to Ambient Fine Particulate Matter with Atherosclerotic Cardiovascular Disease Incidence Varies across Populations with Different Predicted Risks: The China-PAR Project. Environmental Science & Technology. 57(27). 9934–9942. 5 indexed citations
16.
Shi, Mengyao, Tanika N. Kelly, Zhengbao Zhu, et al.. (2022). Large‐Scale Targeted Sequencing Study of Ischemic Stroke in the Han Chinese Population. Journal of the American Heart Association. 11(19). e025245–e025245. 3 indexed citations
17.
Hu, Chunyu, Chunyan Huang, Jianxin Li, et al.. (2022). Causal associations of alcohol consumption with cardiovascular diseases and all-cause mortality among Chinese males. American Journal of Clinical Nutrition. 116(3). 771–779. 21 indexed citations
18.
Yang, Xueli, Jianxin Li, Dongsheng Hu, et al.. (2016). Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population. Circulation. 134(19). 1430–1440. 410 indexed citations breakdown →
19.
Li, Changwei, Lydia Bazzano, D. C. Rao, et al.. (2015). Genome-Wide Linkage and Positional Association Analyses Identify Associations of Novel AFF3 and NTM Genes with Triglycerides: The GenSalt Study. Journal of genetics and genomics. 42(3). 107–117. 11 indexed citations
20.
Hilding, Agneta, Chong Shen, & Claes‐Göran Östenson. (2014). Social network and development of prediabetes and type 2 diabetes in middle-aged Swedish women and men. Diabetes Research and Clinical Practice. 107(1). 166–177. 28 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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