Shuohua Chen

10.2k total citations · 6 hit papers
401 papers, 6.0k citations indexed

About

Shuohua Chen is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Shuohua Chen has authored 401 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Cardiology and Cardiovascular Medicine, 112 papers in Endocrinology, Diabetes and Metabolism and 110 papers in Epidemiology. Recurrent topics in Shuohua Chen's work include Diabetes, Cardiovascular Risks, and Lipoproteins (90 papers), Blood Pressure and Hypertension Studies (83 papers) and Cardiovascular Health and Disease Prevention (80 papers). Shuohua Chen is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (90 papers), Blood Pressure and Hypertension Studies (83 papers) and Cardiovascular Health and Disease Prevention (80 papers). Shuohua Chen collaborates with scholars based in China, United States and Australia. Shuohua Chen's co-authors include Shouling Wu, Anxin Wang, Xiang Gao, Xue Tian, Yingting Zuo, Anxin Wang, Mengyi Zheng, Yong Zhou, Yanxia Luo and Penglian Wang and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Shuohua Chen

361 papers receiving 5.9k citations

Hit Papers

Association of Age of Onset of Hypertension With Cardiova... 2020 2026 2022 2024 2020 2021 2021 2023 2024 100 200 300
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.

  1. Association of Age of Onset of Hypertension With Cardiovascular Diseases and Mortality
    2020 300 citations Shuohua Chen, Shouling Wu et al. profile →
  2. The Associations of Two Novel Inflammation Indexes, SII and SIRI with the Risks for Cardiovascular Diseases and All-Cause Mortality: A Ten-Year Follow-Up Study in 85,154 Individuals
    2021 205 citations Shuohua Chen, Shouling Wu et al. profile →
  3. Triglyceride–glucose index is associated with the risk of myocardial infarction: an 11-year prospective study in the Kailuan cohort
    2021 138 citations Shuohua Chen, Shouling Wu et al. Cardiovascular Diabetology profile →
  4. ‘Life’s Essential 8’ cardiovascular health with premature cardiovascular disease and all-cause mortality in young adults: the Kailuan prospective cohort study
    2023 65 citations Aijun Xing, Yanxiu Wang et al. European Journal of Preventive Cardiology profile →
  5. Association between different stages of cardiovascular-kidney-metabolic syndrome and the risk of all-cause mortality
    2024 63 citations Liufu Cui, Rong Shu et al. profile →
  6. Association of triglyceride-glucose index and its related parameters with atherosclerotic cardiovascular disease: evidence from a 15-year follow-up of Kailuan cohort
    2024 44 citations Shuohua Chen, Shouling Wu et al. Cardiovascular Diabetology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuohua Chen China 37 2.5k 1.7k 1.5k 896 643 401 6.0k
Connor A. Emdin United Kingdom 29 4.3k 1.7× 1.1k 0.7× 1.4k 0.9× 900 1.0× 1.1k 1.6× 48 9.1k
Yoshihiro Kokubo Japan 50 2.3k 0.9× 1.2k 0.7× 1.6k 1.1× 1.2k 1.4× 1.2k 1.9× 247 8.2k
Di Zhao United States 39 1.5k 0.6× 843 0.5× 872 0.6× 640 0.7× 502 0.8× 197 5.3k
Shih‐Jen Hwang United States 38 3.1k 1.2× 1.0k 0.6× 1.1k 0.7× 475 0.5× 788 1.2× 102 6.4k
Κωνσταντίνος Τζιόμαλος Greece 45 1.5k 0.6× 2.3k 1.4× 2.4k 1.6× 936 1.0× 873 1.4× 308 7.7k
Altan Onat Türkiye 37 1.4k 0.6× 1.5k 0.9× 2.4k 1.6× 952 1.1× 463 0.7× 259 5.3k
Guangliang Shan China 30 876 0.4× 1.0k 0.6× 1.5k 1.0× 737 0.8× 771 1.2× 172 5.3k
Maryam Kavousi Netherlands 47 3.0k 1.2× 1.2k 0.7× 2.0k 1.3× 1.2k 1.4× 942 1.5× 292 9.0k
Georgios Georgiopoulos Greece 38 2.4k 1.0× 857 0.5× 779 0.5× 418 0.5× 673 1.0× 270 5.2k
Yasufumi Doi Japan 39 1.3k 0.5× 1.1k 0.6× 1.0k 0.7× 480 0.5× 450 0.7× 73 4.5k

Countries citing papers authored by Shuohua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuohua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuohua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shuohua Chen. A scholar is included among the top collaborators of Shuohua Chen 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 Shuohua Chen. Shuohua Chen 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.
Guo, Shuang, Chi Wang, Zhen Ge, et al.. (2025). Association of Cumulative Exposure to Triglyceride and Remnant Cholesterol With the Risk of Cardiovascular Disease in Hypertensive Patients With Target LDL‐C. Journal of Clinical Hypertension. 27(6). e70084–e70084.
2.
3.
Yang, Xue‐Mei, Feipeng Cui, Shuohua Chen, et al.. (2025). Association between parental high-sensitive C-reactive protein and hypertension in offspring: an intergenerational study. Clinical Hypertension. 31(1). e6–e6.
4.
Li, Man, Hongpeng Zhang, Shuohua Chen, et al.. (2025). Association of triglyceride-glucose index with risk of cardiovascular disease among patients with prediabetes: population based prospective cohort study. BMC Cardiovascular Disorders. 25(1). 685–685.
5.
6.
Yang, Wenchang, Yuntao Wu, Yue Chen, et al.. (2024). Different levels of physical activity and risk of developing type 2 diabetes among adults with prediabetes: a population-based cohort study. Nutrition Journal. 23(1). 107–107. 2 indexed citations
7.
Dai, Qiaoyun, Yaya Zhang, Xueying Yang, et al.. (2024). Trajectories of peripheral white blood cells count around the menopause: a prospective cohort study. BMC Women s Health. 24(1). 504–504. 1 indexed citations
8.
Zhou, Hui, et al.. (2024). Dual-trajectory of TyG levels and lifestyle scores and their associations with ischemic stroke in a non-diabetic population: a cohort study. Cardiovascular Diabetology. 23(1). 225–225. 10 indexed citations
9.
Huang, Zhe, Peilu Wang, Shuohua Chen, et al.. (2024). Longitudinal associations of skipping breakfast and night eating with 4-year changes in weight and waist circumference among Chinese adults. American Journal of Clinical Nutrition. 120(2). 442–448. 3 indexed citations
10.
Li, Dankang, Shouling Wu, Linxi Tang, et al.. (2024). Long-term exposure to reduced specific-size ambient particulate matter and progression of arterial stiffness among Chinese adults. Journal of Hazardous Materials. 466. 133482–133482. 7 indexed citations
11.
Zhou, Yanfeng, Guodong Wang, Shuohua Chen, et al.. (2023). Cost-effectiveness of drug treatment for young and middle-aged stage 1 hypertensive patients with high risk. Journal of Global Health. 13. 4147–4147.
12.
Yang, Wenhao, Shouling Wu, Rong Shu, et al.. (2023). Distinct WBC Trajectories are Associated with the Risks of Incident CVD and All-Cause Mortality. Journal of Atherosclerosis and Thrombosis. 30(10). 1492–1506. 5 indexed citations
13.
Yang, Jing, Shouling Wu, Anxin Wang, et al.. (2023). Sex‐specific risk factors for early‐onset ischaemic stroke. European Journal of Neuroscience. 57(10). 1763–1774. 1 indexed citations
14.
Tao, Jie, et al.. (2023). Elevated urine albumin-to-creatinine ratio increases the risk of new-onset heart failure in patients with type 2 diabetes. Cardiovascular Diabetology. 22(1). 70–70. 11 indexed citations
15.
16.
Dai, Qiaoyun, Shouling Wu, Shuohua Chen, et al.. (2023). Trajectories of lipids around the menopause transition in Chinese women: results of the Kailuan cohort study. Fertility and Sterility. 119(6). 1057–1067. 2 indexed citations
17.
Huang, Zhe, Junjuan Li, Shuohua Chen, et al.. (2023). Life’s Essential 8 and heart failure among patients with chronic kidney disease: the Kailuan Cohort Study. European Journal of Preventive Cardiology. 31(7). 824–831. 16 indexed citations
18.
Li, Jiatian, Tesfaldet H. Hidru, Xinying Wang, et al.. (2023). Arterial stiffness is associated with cancer mortality: Insight from Kailuan study. Cancer Medicine. 12(15). 16580–16590. 3 indexed citations
19.
Yin, Jian, Gang Wang, Zheng Wu, et al.. (2022). Association Between Baseline C-Reactive Protein and the Risk of Lung Cancer: A Prospective Population-Based Cohort Study. Cancer Prevention Research. 15(11). 747–754. 2 indexed citations
20.
Li, Yuqing, Liyuan Zhu, Jierui Wang, et al.. (2015). [The effects of exposure to the famine during early life with elevated resting heart rate in the adult].. PubMed. 49(7). 600–4. 1 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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