Qiang Zeng

1.1k total citations
26 papers, 638 citations indexed

About

Qiang Zeng is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Qiang Zeng has authored 26 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Qiang Zeng's work include Obesity, Physical Activity, Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Nutrition and Health in Aging (5 papers). Qiang Zeng is often cited by papers focused on Obesity, Physical Activity, Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Nutrition and Health in Aging (5 papers). Qiang Zeng collaborates with scholars based in China, United States and Japan. Qiang Zeng's co-authors include Ivonne Hernandez Schulman, Ming-Sheng Zhou, Sheng-Yong Dong, Yi Cui, Jing Xie, Xiaolan Zhao, Fei Wang, Li Fan, Rong Zhang and Peiyu Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environment International.

In The Last Decade

Qiang Zeng

25 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Zeng China 13 204 170 163 126 107 26 638
Rodrigo O. Marañón United States 14 110 0.5× 228 1.3× 212 1.3× 104 0.8× 53 0.5× 32 646
Alfonso Otero-González Spain 5 142 0.7× 91 0.5× 190 1.2× 65 0.5× 154 1.4× 5 542
Miguel Valle Spain 17 297 1.5× 140 0.8× 221 1.4× 242 1.9× 312 2.9× 24 913
Kara S. Hughan United States 15 204 1.0× 177 1.0× 219 1.3× 92 0.7× 72 0.7× 41 837
Katherine H. Ingram United States 13 266 1.3× 80 0.5× 150 0.9× 109 0.9× 146 1.4× 24 664
Hirotsugu Mitsuhashi Japan 14 166 0.8× 167 1.0× 111 0.7× 108 0.9× 189 1.8× 26 579
Laura M.G. Meems Netherlands 16 105 0.5× 296 1.7× 85 0.5× 78 0.6× 67 0.6× 27 710
Mary L. Biggs United States 15 184 0.9× 273 1.6× 271 1.7× 153 1.2× 104 1.0× 33 915
Ved V. Gossain United States 18 121 0.6× 116 0.7× 414 2.5× 74 0.6× 87 0.8× 65 868
Yaxin Lai China 14 81 0.4× 115 0.7× 584 3.6× 96 0.8× 95 0.9× 32 853

Countries citing papers authored by Qiang Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Zeng. A scholar is included among the top collaborators of Qiang Zeng 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 Qiang Zeng. Qiang Zeng 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.
Long, Feifei, Yunjiao Zhang, Qiang Zeng, et al.. (2025). Physics-guided attention-aware convolutional neural networks for identification of magnetic islands in the tearing mode on EAST tokamak. Nuclear Fusion. 65(5). 56029–56029.
2.
Ding, Guodong, Yu Gao, Haidong Kan, et al.. (2024). Environmental exposure and child health in China. Environment International. 187. 108722–108722. 7 indexed citations
3.
Li, Zhonglin, Hui Gao, Jing Zhou, et al.. (2023). Intermittent energy restriction changes the regional homogeneity of the obese human brain. Frontiers in Neuroscience. 17. 1201169–1201169. 3 indexed citations
4.
Yang, Jian, et al.. (2019). Separate and combined associations of physical activity and obesity with lipid-related indices in non-diabetic and diabetic patients. Lipids in Health and Disease. 18(1). 49–49. 29 indexed citations
5.
Zhang, Yujie, et al.. (2019). Predictive value of percentage body fat in aging people with low muscle mass: A 2.2-year longitudinal study. Archives of Gerontology and Geriatrics. 82. 167–171. 4 indexed citations
6.
Yang, Jian, et al.. (2018). Association between household physical activity level and type 2 diabetes among urban males in northern China. Public Health. 163. 113–120. 9 indexed citations
7.
Zhang, Rong, Sheng-Yong Dong, Fei Wang, et al.. (2018). Associations between Body Composition Indices and Metabolic Disorders in Chinese Adults. Chinese Medical Journal. 131(4). 379–388. 21 indexed citations
8.
Zhang, Yujie, et al.. (2018). Association between Geriatric Nutrition Risk Index and low muscle mass in Chinese elderly people. European Journal of Clinical Nutrition. 73(6). 917–923. 20 indexed citations
9.
Zhang, Yujie, et al.. (2018). Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk. Scientific Reports. 8(1). 10093–10093. 12 indexed citations
11.
12.
He, Yuan, Li Fan, Fei Wang, et al.. (2016). The association of chronic kidney disease and waist circumference and waist-to-height ratio in Chinese urban adults. Medicine. 95(25). e3769–e3769. 33 indexed citations
13.
He, Yuan, Qiang Zeng, & Xiaolan Zhao. (2015). Association of body mass index and waist circumstance with risk of hypertension and diabetes in Chinese adults. Jiefangjun yixue zazhi. 40(10). 803–808. 1 indexed citations
14.
He, Yuan, Qiang Zeng, Sheng-Yong Dong, et al.. (2013). Associations between uterine fibroids and lifestyles including diet, physical activity and stress: a case-control study in China.. PubMed. 22(1). 109–17. 45 indexed citations
15.
Wang, Xi, Yingzhen Du, Li Fan, et al.. (2013). Relationships between HDL-C, hs-CRP, with Central Arterial Stiffness in Apparently Healthy People Undergoing a General Health Examination. PLoS ONE. 8(12). e81778–e81778. 23 indexed citations
16.
Yuan, Ying, et al.. (2012). Effects of continuous intermedin infusion on blood pressure and hemodynamic function in spontaneously hypertensive rats. Journal of Geriatric Cardiology. 9(1). 17–27. 15 indexed citations
17.
Zeng, Qiang, Lian Chen, Yu Wang, et al.. (2010). Biomarkers for the Prediction of Major Adverse Cardiovascular Events in Patients With Acute Coronary Syndrome. The Anatomical Record. 293(9). 1512–1518. 6 indexed citations
18.
Zeng, Qiang, et al.. (2007). CORRELATION OF BODY COMPOSITION WITH CARDIAC FUNCTION AND ARTERIAL COMPLIANCE. Clinical and Experimental Pharmacology and Physiology. 35(1). 78–82. 21 indexed citations
19.
Dong, Huimin, et al.. (2005). [Study on the relations between overweight, obesity, blood pressures, serum lipids and glucose in schoolchildren of Shijiazhunag].. PubMed. 26(8). 592–5. 2 indexed citations
20.
Zeng, Zheng-pei, Xulei Tang, Di Yang, et al.. (1998). Immunoreactive Endothelin-1 and Its Receptors in Human Adrenal Tissues. Journal of Cardiovascular Pharmacology. 31. S212–S214. 8 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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