Ming Zhang

6.1k total citations
150 papers, 3.0k citations indexed

About

Ming Zhang is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming Zhang has authored 150 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Public Health, Environmental and Occupational Health, 39 papers in Endocrinology, Diabetes and Metabolism and 36 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming Zhang's work include Diabetes, Cardiovascular Risks, and Lipoproteins (33 papers), Obesity, Physical Activity, Diet (26 papers) and Nutritional Studies and Diet (25 papers). Ming Zhang is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (33 papers), Obesity, Physical Activity, Diet (26 papers) and Nutritional Studies and Diet (25 papers). Ming Zhang collaborates with scholars based in China, United States and Hong Kong. Ming Zhang's co-authors include Dongsheng Hu, Yang Zhao, Yongcheng Ren, Bingyuan Wang, Xizhuo Sun, Qionggui Zhou, Chengyi Han, Xiaoxiao Liu, Yueting Ding and Jingzhi Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Ming Zhang

144 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zhang China 33 677 647 601 473 468 150 3.0k
Xueli Yang China 29 482 0.7× 643 1.0× 664 1.1× 402 0.8× 398 0.9× 190 3.8k
Chong Shen China 28 435 0.6× 512 0.8× 679 1.1× 421 0.9× 481 1.0× 189 3.1k
Xiangfeng Lu China 29 362 0.5× 319 0.5× 808 1.3× 332 0.7× 332 0.7× 146 3.3k
Binyan Wang China 36 504 0.7× 434 0.7× 626 1.0× 1.1k 2.2× 454 1.0× 219 4.3k
Seulggie Choi South Korea 28 291 0.4× 321 0.5× 398 0.7× 484 1.0× 342 0.7× 140 2.6k
Jae‐Yong Shim South Korea 35 522 0.8× 485 0.7× 596 1.0× 458 1.0× 711 1.5× 190 3.6k
Sang Baek Koh South Korea 33 402 0.6× 425 0.7× 548 0.9× 379 0.8× 612 1.3× 270 3.5k
Kyuwoong Kim South Korea 26 402 0.6× 276 0.4× 396 0.7× 393 0.8× 305 0.7× 88 2.2k
Zengwu Wang China 31 651 1.0× 517 0.8× 2.0k 3.4× 502 1.1× 637 1.4× 191 4.6k
Zhenping Zhao China 25 659 1.0× 1.1k 1.8× 680 1.1× 591 1.2× 914 2.0× 106 4.4k

Countries citing papers authored by Ming Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhang. A scholar is included among the top collaborators of Ming Zhang 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 Ming Zhang. Ming Zhang 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
2.
Zhang, Ming, et al.. (2025). How perceived risk of recurrence strengthens health management awareness in stroke patients: the chain mediating role of risk fear and health literacy. Frontiers in Public Health. 13. 1524492–1524492. 1 indexed citations
3.
Zhang, Ming, et al.. (2025). Relationship Between Stress Hyperglycemia Ratio and In-Stent Restenosis in Patients Receiving Drug-Eluting Stents. British Journal of Hospital Medicine. 86(4). 1–13.
4.
Chen, Hou, Xin Su, Xingtao Wang, et al.. (2025). High-resolution PM2.5 retrieval using Gaofen-1 WFV camera data. Atmospheric Environment. 357. 121315–121315. 1 indexed citations
5.
Li, Guohui, Muhammad Aamir Manzoor, Xiangshan Ren, et al.. (2024). Functional analysis of two caffeoyl-coenzyme 3 a-o-methyltransferase involved in pear lignin metabolism. Gene. 928. 148810–148810. 2 indexed citations
6.
Zhao, Yang, Yuying Wu, Pei Qin, et al.. (2024). Independent and joint associations of estimated cardiorespiratory fitness and its dynamic changes and obesity with the risk of hypertension: A prospective cohort. Journal of Human Hypertension. 38(5). 413–419. 4 indexed citations
7.
He, Qingqing, et al.. (2023). Enhancing the reliability of hindcast modeling for air pollution using history-informed machine learning and satellite remote sensing in China. Atmospheric Environment. 312. 119994–119994. 6 indexed citations
8.
Yuan, Lijun, Jiong Liu, Zelin Huang, et al.. (2023). Elevated remnant cholesterol increase 6-year type 2 diabetes mellitus onset risk. Clinica Chimica Acta. 541. 117253–117253. 10 indexed citations
9.
Chen, Jie, Ming Zhang, Saisai Liu, et al.. (2023). Single-cell and bulk sequencing analyses reveal the immune suppressive role of PTPN6 in glioblastoma. Aging. 15(18). 9822–9841. 6 indexed citations
11.
Li, Xi, Dongdong Zhang, Yang Zhao, et al.. (2023). Correlation of heavy metals’ exposure with the prevalence of coronary heart disease among US adults: findings of the US NHANES from 2003 to 2018. Environmental Geochemistry and Health. 45(8). 6745–6759. 5 indexed citations
12.
Zhao, Yang, Xing Zhang, Tian-Ze Li, et al.. (2023). Independent and interactive effect of sedentary time and physical activity on risk of all‐cause mortality: A prospective cohort study. Scandinavian Journal of Medicine and Science in Sports. 33(7). 1168–1176. 2 indexed citations
13.
Zhao, Yang, Yifei Feng, Xingjin Yang, et al.. (2022). Cohort study evaluation of New Chinese Diabetes Risk Score: a new non-invasive indicator for predicting type 2 diabetes mellitus. Public Health. 208. 25–31. 3 indexed citations
14.
Liu, Xiaoxiao, et al.. (2021). Air pollution and high human capital population migration: An empirical study based on 35 major cities in China. Sustainable Production and Consumption. 27. 643–652. 56 indexed citations
15.
Feng, Yifei, Xingjin Yang, Yang Li, et al.. (2021). Cohort study evaluation of New Chinese Diabetes Risk Score: A new non-invasive indicator for predicting metabolic syndrome. Primary care diabetes. 15(5). 825–831. 1 indexed citations
16.
Li, Quanman, Ranran Qie, Pei Qin, et al.. (2020). Association of weight-adjusted-waist index with incident hypertension: The Rural Chinese Cohort Study. Nutrition Metabolism and Cardiovascular Diseases. 30(10). 1732–1741. 85 indexed citations
17.
Li, Shiliang, Shichao Cui, Jiawei Wang, et al.. (2019). Discovery of a Natural-Product-Derived Preclinical Candidate for Once-Weekly Treatment of Type 2 Diabetes. Journal of Medicinal Chemistry. 62(5). 2348–2361. 24 indexed citations
18.
Xiao, Qin, Shan Gao, Hui Luo, et al.. (2014). 9q33.3, A Stress-Related Chromosome Region, Contributes to Reducing Lung Squamous Cell Carcinoma Risk. Journal of Thoracic Oncology. 9(7). 1041–1047. 10 indexed citations
19.
Kang, Xiaolong, Gang Liu, Yufang Liu, et al.. (2013). Transcriptome Profile at Different Physiological Stages Reveals Potential Mode for Curly Fleece in Chinese Tan Sheep. PLoS ONE. 8(8). e71763–e71763. 61 indexed citations
20.
Zhang, Ming, et al.. (2006). Cul-de-sac Versus Grid: Comparing Street Connectivity and Pedestrian Accessibility of Urban Forms in Houston Metropolitan Area. Transportation Research Board 85th Annual MeetingTransportation Research Board. 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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