Zhongyan Tian

568 total citations
18 papers, 386 citations indexed

About

Zhongyan Tian is a scholar working on Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology. According to data from OpenAlex, Zhongyan Tian has authored 18 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 8 papers in Cardiology and Cardiovascular Medicine and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Zhongyan Tian's work include Obesity, Physical Activity, Diet (9 papers), Cardiovascular Disease and Adiposity (6 papers) and Sleep and related disorders (4 papers). Zhongyan Tian is often cited by papers focused on Obesity, Physical Activity, Diet (9 papers), Cardiovascular Disease and Adiposity (6 papers) and Sleep and related disorders (4 papers). Zhongyan Tian collaborates with scholars based in China. Zhongyan Tian's co-authors include Chongjian Wang, Yuqian Li, Haiqing Zhang, Xinling Qian, Zhenxing Mao, Jingjing Jiang, Xiaotian Liu, Runqi Tu, Wenqian Huo and Xiaokang Dong and has published in prestigious journals such as Scientific Reports, Preventive Medicine and Clinica Chimica Acta.

In The Last Decade

Zhongyan Tian

18 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongyan Tian China 14 92 87 74 72 63 18 386
Qiaofeng Song China 13 139 1.5× 82 0.9× 84 1.1× 178 2.5× 67 1.1× 21 435
Mathieu Firmann Switzerland 4 52 0.6× 125 1.4× 97 1.3× 101 1.4× 118 1.9× 5 576
Sankalp Das United States 11 73 0.8× 104 1.2× 45 0.6× 146 2.0× 30 0.5× 32 398
Sílvia Nascimento de Freitas Brazil 11 46 0.5× 138 1.6× 67 0.9× 58 0.8× 96 1.5× 41 401
Camila Maciel de Oliveira Brazil 14 62 0.7× 184 2.1× 137 1.9× 117 1.6× 118 1.9× 41 549
Shozab S. Ali United States 14 76 0.8× 122 1.4× 69 0.9× 309 4.3× 117 1.9× 24 644
Rumana Khan United States 14 24 0.3× 95 1.1× 43 0.6× 92 1.3× 130 2.1× 32 417
Adnan Younus United States 13 74 0.8× 142 1.6× 94 1.3× 348 4.8× 86 1.4× 19 594
Pamela Linksted United Kingdom 6 62 0.7× 125 1.4× 72 1.0× 87 1.2× 95 1.5× 8 628
Qionggui Zhou China 15 73 0.8× 207 2.4× 127 1.7× 151 2.1× 141 2.2× 28 615

Countries citing papers authored by Zhongyan Tian

Since Specialization
Citations

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

Fields of papers citing papers by Zhongyan Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongyan Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongyan Tian. A scholar is included among the top collaborators of Zhongyan Tian 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 Zhongyan Tian. Zhongyan Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Yan, Yuqian Li, Xiaotian Liu, et al.. (2020). Prevalence and Influencing Factors of Coronary Heart Disease and Stroke in Chinese Rural Adults: The Henan Rural Cohort Study. Frontiers in Public Health. 7. 411–411. 38 indexed citations
2.
Qiao, Dou, Xiaotian Liu, Runqi Tu, et al.. (2020). Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study. BMJ Open. 10(1). e028593–e028593. 16 indexed citations
3.
Li, Ruiying, Zhongyan Tian, Yanhua Wang, et al.. (2020). The Association of Body Fat Percentage With Hypertension in a Chinese Rural Population: The Henan Rural Cohort Study. Frontiers in Public Health. 8. 70–70. 14 indexed citations
4.
5.
Zhang, Lulu, Yuqian Li, Wen Zhou, et al.. (2019). Mediation effect of BMI on the relationship between age at menarche and hypertension: The Henan Rural Cohort Study. Journal of Human Hypertension. 34(6). 448–456. 24 indexed citations
6.
Zhang, Haiqing, Yuqian Li, Xinyu Zhao, et al.. (2019). The association between PSQI score and hypertension in a Chinese rural population: the Henan Rural Cohort Study. Sleep Medicine. 58. 27–34. 57 indexed citations
7.
8.
Liu, Xiaotian, Xinling Qian, Runqi Tu, et al.. (2019). SOCS3 methylation mediated the effect of sedentary time on type 2 diabetes mellitus: The Henan Rural Cohort study. Nutrition Metabolism and Cardiovascular Diseases. 30(4). 634–643. 11 indexed citations
9.
Zhang, Lulu, Yuqian Li, Chongjian Wang, et al.. (2019). Early menarche is associated with an increased risk of type 2 diabetes in rural Chinese women and is partially mediated by BMI: the Henan Rural Cohort Study. Menopause The Journal of The North American Menopause Society. 26(11). 1265–1271. 15 indexed citations
10.
Jiang, Jingjing, Xue Liu, Xiaotian Liu, et al.. (2019). The effect of progesterone and pregnenolone on diabetes status in Chinese rural population: a dose–response analysis from Henan Rural Cohort. European Journal of Endocrinology. 181(6). 603–614. 13 indexed citations
11.
Zhang, Haiqing, Xinyu Zhao, Yuqian Li, et al.. (2019). Night sleep duration and sleep initiation time with hypertension in Chinese rural population: the Henan Rural Cohort. European Journal of Public Health. 30(1). 164–170. 27 indexed citations
12.
Tian, Zhongyan, Yuqian Li, Zhenxing Mao, et al.. (2018). Sex-specific relationship between visceral fat index and dyslipidemia in Chinese rural adults: The Henan Rural Cohort Study. Preventive Medicine. 116. 104–111. 17 indexed citations
13.
Zhou, Wen, Yuanyuan Shi, Yuqian Li, et al.. (2018). Body mass index, abdominal fatness, and hypertension incidence: a dose-response meta-analysis of prospective studies. Journal of Human Hypertension. 32(5). 321–333. 27 indexed citations
14.
Tian, Zhongyan, Yuqian Li, Linlin Li, et al.. (2018). Dose-response relationship between visceral fat index and untreated hypertension in Chinese rural population: the RuralDiab study. Journal of the American Society of Hypertension. 12(6). 448–456.e1. 9 indexed citations
15.
Tian, Zhongyan, Yuqian Li, Linlin Li, et al.. (2018). Gender-specific associations of body mass index and waist circumference with type 2 diabetes mellitus in Chinese rural adults: The Henan Rural Cohort Study. Journal of Diabetes and its Complications. 32(9). 824–829. 15 indexed citations
16.
Liu, Xiaotian, Weidong Wu, Zhenxing Mao, et al.. (2018). Prevalence and influencing factors of overweight and obesity in a Chinese rural population: the Henan Rural Cohort Study. Scientific Reports. 8(1). 13101–13101. 52 indexed citations
17.
Qian, Xinling, Yuqian Li, Xiaotian Liu, et al.. (2018). C-src tyrosine kinase gene rs1378942 polymorphism and hypertension in Asians: Review and meta-analysis. Clinica Chimica Acta. 487. 202–209. 6 indexed citations
18.
Zhang, Haiqing, Yuqian Li, Zhenxing Mao, et al.. (2018). A dose-response association of night sleep duration with hypertension in a Chinese rural population: the Henan Rural Cohort Study. Journal of the American Society of Hypertension. 12(12). 867–879.e3. 13 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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