Jie Mi

14.8k total citations · 2 hit papers
202 papers, 5.1k citations indexed

About

Jie Mi is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jie Mi has authored 202 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Pediatrics, Perinatology and Child Health, 58 papers in Public Health, Environmental and Occupational Health and 46 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jie Mi's work include Birth, Development, and Health (60 papers), Obesity, Physical Activity, Diet (53 papers) and Genetic Associations and Epidemiology (23 papers). Jie Mi is often cited by papers focused on Birth, Development, and Health (60 papers), Obesity, Physical Activity, Diet (53 papers) and Genetic Associations and Epidemiology (23 papers). Jie Mi collaborates with scholars based in China, United States and United Kingdom. Jie Mi's co-authors include Bo Xi, Yinkun Yan, Xiaoyuan Zhao, Dongqing Hou, Y Wang, Hong Cheng, Junting Liu, Min Zhao, Meixian Zhang and Yajun Liang and has published in prestigious journals such as Annals of Internal Medicine, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jie Mi

194 papers receiving 5.0k citations

Hit Papers

Is China facing an obesity epidemic and the consequences?... 2006 2026 2012 2019 2006 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jie Mi China 38 2.0k 1.1k 1.0k 862 859 202 5.1k
Lakshmy Ramakrishnan India 36 1.7k 0.9× 1.4k 1.3× 1.1k 1.0× 928 1.1× 1.1k 1.3× 239 6.4k
B. Rosner United States 24 1.6k 0.8× 673 0.6× 881 0.9× 545 0.6× 579 0.7× 61 5.3k
Shengxu Li United States 39 1.5k 0.8× 989 0.9× 1.2k 1.1× 1.8k 2.1× 851 1.0× 135 5.2k
Koji Tamakoshi Japan 46 1.8k 0.9× 572 0.5× 1.1k 1.1× 581 0.7× 752 0.9× 225 6.3k
Nina Hutri‐Kähönen Finland 45 2.2k 1.1× 1.4k 1.2× 1.2k 1.2× 2.8k 3.2× 1.2k 1.4× 249 7.5k
Yechiel Friedlander Israel 45 1.1k 0.6× 1.3k 1.2× 781 0.8× 1.2k 1.4× 1.2k 1.3× 207 7.4k
Linda Snetselaar United States 51 3.4k 1.7× 606 0.5× 2.7k 2.6× 569 0.7× 843 1.0× 294 8.9k
Yiping Chen China 43 1.4k 0.7× 413 0.4× 1.3k 1.2× 1.2k 1.4× 1.0k 1.2× 234 7.5k
Marit B. Veierød Norway 48 2.0k 1.0× 560 0.5× 1.2k 1.2× 337 0.4× 679 0.8× 232 7.6k
Kelly J. Hunt United States 41 1.1k 0.6× 576 0.5× 733 0.7× 971 1.1× 2.4k 2.8× 193 6.6k

Countries citing papers authored by Jie Mi

Since Specialization
Citations

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

Fields of papers citing papers by Jie Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Mi. A scholar is included among the top collaborators of Jie Mi 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 Jie Mi. Jie Mi 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.
Chen, Liqiong, Siyu Zhang, H. Hu, & Jie Mi. (2024). Fracture Behavior Analysis of Defective Pipelines Based on Computer-Aided Engineering. Procedia Computer Science. 243. 268–277. 1 indexed citations
2.
Huang, Yi‐Wen, Chuanwei Ma, Hongbo Dong, et al.. (2024). Racial diversities in lifespan bone mass: findings from the China BCL Study and US NHANES. QJM. 118(3). 147–153.
3.
Gao, Liwang, Yi‐Wen Huang, Hong Cheng, et al.. (2023). Prevalence of hypertension and its associations with body composition across Chinese and American children and adolescents. World Journal of Pediatrics. 20(4). 392–403. 6 indexed citations
4.
Wang, Xi, Hong Cheng, Hongbo Dong, et al.. (2023). Differences in air displacement plethysmography, bioelectrical impedance analysis and dual‐energy X‐ray absorptiometry for estimating body composition in Chinese children and adolescents. Journal of Paediatrics and Child Health. 59(3). 470–479. 5 indexed citations
5.
Dong, Hongbo, Hong Cheng, Junting Liu, et al.. (2023). Overfat cutoffs and the optimal combination of body fat indices for detecting cardiometabolic risk among school‐aged children. Obesity. 31(3). 802–810. 1 indexed citations
6.
Xiang, Shiting, et al.. (2023). Association of intestinal microbiota and its metabolite markers with excess weight in Chinese children and adolescents. Pediatric Obesity. 18(6). e13019–e13019. 1 indexed citations
7.
Lü, Jie, Bi Chen, Nan Li, et al.. (2022). Prevalence and related factors of hyperuricaemia in Chinese children and adolescents: a pooled analysis of 11 population-based studies. Annals of Medicine. 54(1). 1608–1615. 37 indexed citations
9.
Wu, Yunpeng, Xinting Yu, Ge Li, et al.. (2019). Adipose Tissue Mediates Associations of Birth Weight with Glucose Metabolism Disorders in Children. Obesity. 27(5). 746–755. 9 indexed citations
10.
Yan, Yinkun, Shengxu Li, Liu Yang, et al.. (2019). Temporal relationship between inflammation and insulin resistance and their joint effect on hyperglycemia: the Bogalusa Heart Study. Cardiovascular Diabetology. 18(1). 109–109. 44 indexed citations
11.
Tang, Jun, Yinkun Yan, Jie Li, et al.. (2018). Relationship between erythrocyte phospholipid fatty acid composition and obesity in children and adolescents. Journal of clinical lipidology. 13(1). 70–79.e1. 6 indexed citations
12.
Li, Ge, Linxin Xu, Yanglu Zhao, et al.. (2017). Leptin-adiponectin imbalance as a marker of metabolic syndrome among Chinese children and adolescents: The BCAMS study. PLoS ONE. 12(10). e0186222–e0186222. 40 indexed citations
13.
Mi, Jie. (2016). [Developmental origins of cardiovascular disease and early intervention windows].. PubMed. 50(1). 1–3. 1 indexed citations
14.
Chen, Fangfang, et al.. (2016). [Health hazards in childhood obesity: Evidence based on Chinese population].. PubMed. 50(1). 97–100. 3 indexed citations
15.
Cheng, Hong, Di Zhao, Jiali Duan, et al.. (2014). [Dietary habits of school-age children and its associations with blood pressure level in Beijing, China].. PubMed. 48(5). 340–4. 4 indexed citations
16.
Zhao, Xiaoyuan, Meixian Zhang, Hong Cheng, et al.. (2013). [Risk of obesity-related gene polymorphism on the incidence and durative of childhood obesity].. PubMed. 34(6). 560–5. 5 indexed citations
17.
Xi, Bo, Meixian Zhang, Yue Shen, et al.. (2010). [Impact on the risk of obesity due to interactions between fat mass- and obesity-associated gene rs9939609 variants and behavioral factors, in the Chinese school-aged children].. PubMed. 31(7). 737–41. 5 indexed citations
18.
Mi, Jie, et al.. (2007). [The relationship between serum leptin level and metabolic syndrome among a middle-aged Chinese population].. PubMed. 41(4). 281–4. 2 indexed citations
19.
Mi, Jie, Tianyou Wang, Jiali Duan, et al.. (2007). [Metabolic syndrome in overweight and obese schoolchildren in Beijing].. PubMed. 45(6). 417–21. 21 indexed citations
20.
Mi, Jie, et al.. (2004). [Ponderal index at birth predicts metabolic syndrome in mid-aged Chinese].. PubMed. 38(4). 221–5. 4 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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