Shouling Wu

54.5k total citations · 7 hit papers
637 papers, 12.6k citations indexed

About

Shouling Wu is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shouling Wu has authored 637 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 363 papers in Cardiology and Cardiovascular Medicine, 160 papers in Epidemiology and 151 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shouling Wu's work include Cardiovascular Health and Disease Prevention (140 papers), Blood Pressure and Hypertension Studies (139 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (118 papers). Shouling Wu is often cited by papers focused on Cardiovascular Health and Disease Prevention (140 papers), Blood Pressure and Hypertension Studies (139 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (118 papers). Shouling Wu collaborates with scholars based in China, United States and Australia. Shouling Wu's co-authors include Shuohua Chen, Xiang Gao, Cheng Jin, Anxin Wang, Yong Zhou, Yuntao Wu, Jun Cai, Xingquan Zhao, Zhe Huang and Anxin 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

Shouling Wu

599 papers receiving 12.5k citations

Hit Papers

Gut microbiota dysbiosis ... 2012 2026 2016 2021 2017 2012 2020 2021 2021 400 800 1.2k
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. Gut microbiota dysbiosis contributes to the development of hypertension
    2017 1.2k citations Shouling Wu et al. profile →
  2. Prevalence of Ideal Cardiovascular Health and Its Relationship With the 4-Year Cardiovascular Events in a Northern Chinese Industrial City
    2012 342 citations Shouling Wu, Yuntao Wu et al. profile →
  3. Association of Age of Onset of Hypertension With Cardiovascular Diseases and Mortality
    2020 300 citations Chi Wang, Maoxiang Zhao et al. profile →
  4. 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 →
  5. 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 →
  6. Association between different stages of cardiovascular-kidney-metabolic syndrome and the risk of all-cause mortality
    2024 63 citations Shuohua Chen, Tingting Geng et al. profile →
  7. 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 →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shouling Wu 5.1k 3.0k 2.8k 2.0k 1.9k 637 12.6k
Angela Döring 2.6k 0.5× 2.7k 0.9× 2.2k 0.8× 1.6k 0.8× 1.4k 0.8× 181 11.2k
Jacqueline C.M. Witteman 5.4k 1.0× 2.3k 0.8× 2.1k 0.8× 1.6k 0.8× 2.0k 1.1× 170 16.2k
Johan Ärnlöv 4.2k 0.8× 1.7k 0.6× 2.0k 0.7× 2.0k 1.0× 1.3k 0.7× 299 12.6k
Claudio Ferri 3.5k 0.7× 1.4k 0.5× 2.8k 1.0× 1.8k 0.9× 1.1k 0.6× 445 13.3k
Fernando Costa 5.1k 1.0× 3.7k 1.2× 6.1k 2.2× 1.4k 0.7× 2.8k 1.5× 34 16.5k
Jacqueline C.M. Witteman 4.2k 0.8× 1.2k 0.4× 2.0k 0.7× 1.4k 0.7× 1.1k 0.6× 92 12.7k
Gorm Boje Jensen 6.3k 1.2× 2.3k 0.8× 2.1k 0.8× 1.3k 0.7× 1.1k 0.6× 281 15.1k
Akira Okayama 3.2k 0.6× 1.9k 0.6× 2.0k 0.7× 777 0.4× 2.5k 1.4× 451 11.6k
David Couper 3.3k 0.7× 3.5k 1.2× 1.7k 0.6× 1.2k 0.6× 1.6k 0.9× 258 16.2k
Susan Cheng 8.1k 1.6× 1.9k 0.6× 1.6k 0.6× 4.4k 2.2× 1.6k 0.9× 346 18.0k

Countries citing papers authored by Shouling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shouling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shouling Wu. A scholar is included among the top collaborators of Shouling Wu 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 Shouling Wu. Shouling Wu 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.
Yang, Xue‐Mei, Shuohua Chen, Guo‐Dong Wang, et al.. (2025). Body Roundness Index Associated With Cardiometabolic Multimorbidity and Mortality: A Multistate Model. Obesity. 33(12). 2377–2386.
2.
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.
3.
Li, Man, Zhiqiang Li, Yao Xiao, et al.. (2025). Joint association of physical activity and night sleep duration with the risk of atherosclerotic cardiovascular disease. Journal of Stroke and Cerebrovascular Diseases. 34(4). 108258–108258.
4.
5.
6.
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
7.
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
8.
9.
Chen, Yue, Yiming Wang, Tong Liu, et al.. (2024). Body Roundness Index Trajectories and the Risk of Cancer: A Cohort Study. Cancer Medicine. 13(23). e70447–e70447. 4 indexed citations
10.
Wu, Weiqiang, Zegui Huang, Xianxuan Wang, et al.. (2024). Relationship of the trajectory of the triglyceride-glucose index with heart failure: the Kailuan study. Lipids in Health and Disease. 23(1). 257–257. 3 indexed citations
11.
Li, Yanjie, Chi Wang, Lü Tian, et al.. (2024). Combined effect of time in target range and variability of systolic blood pressure on cardiovascular outcomes and mortality in patients with hypertension: A prospective cohort study. Journal of Clinical Hypertension. 26(6). 714–723. 2 indexed citations
12.
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
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.
Liu, Ri, et al.. (2023). The impact of fasting plasma glucose variability on osteoporotic fractures. Frontiers in Endocrinology. 14. 1187682–1187682. 3 indexed citations
16.
Wang, Jing, Ming‐Jie Yin, Jun-Wei Zheng, et al.. (2023). The combined effects of arteriosclerosis and diabetes on cardiovascular disease risk. Internal and Emergency Medicine. 19(2). 365–375. 1 indexed citations
17.
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
18.
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
19.
Huang, Zegui, Guanzhi Chen, Zefeng Cai, et al.. (2023). The effect of acute aerobic exercise on arterial stiffness in individuals with different body fat percentages: A cross-sectional study. Frontiers in Cardiovascular Medicine. 9. 1072191–1072191. 3 indexed citations
20.
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

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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