Baibing Mi

2.0k total citations
106 papers, 1.1k citations indexed

About

Baibing Mi is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Baibing Mi has authored 106 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Public Health, Environmental and Occupational Health, 24 papers in Pediatrics, Perinatology and Child Health and 23 papers in Obstetrics and Gynecology. Recurrent topics in Baibing Mi's work include Nutritional Studies and Diet (22 papers), Birth, Development, and Health (21 papers) and Obesity, Physical Activity, Diet (17 papers). Baibing Mi is often cited by papers focused on Nutritional Studies and Diet (22 papers), Birth, Development, and Health (21 papers) and Obesity, Physical Activity, Diet (17 papers). Baibing Mi collaborates with scholars based in China, United Kingdom and United States. Baibing Mi's co-authors include Hong Yan, Shaonong Dang, Lingxia Zeng, Duolao Wang, Yaling Zhao, Fangyao Chen, Pengfei Qu, Danmeng Liu, Le Ma and Yijun Kang and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Baibing Mi

90 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baibing Mi China 19 228 164 163 149 137 106 1.1k
Gaelen P. Adam United States 21 234 1.0× 116 0.7× 79 0.5× 115 0.8× 216 1.6× 79 1.4k
Rajat Das Gupta United States 22 332 1.5× 219 1.3× 171 1.0× 308 2.1× 196 1.4× 115 1.7k
Sarina Schrager United States 20 404 1.8× 119 0.7× 120 0.7× 113 0.8× 118 0.9× 92 1.4k
Mahmoud Khodadost Iran 21 228 1.0× 105 0.6× 103 0.6× 120 0.8× 262 1.9× 88 1.3k
Yide Yang China 20 462 2.0× 170 1.0× 76 0.5× 205 1.4× 130 0.9× 90 1.3k
Eun Hee Ha South Korea 22 208 0.9× 108 0.7× 208 1.3× 280 1.9× 107 0.8× 77 1.2k
Rakibul M. Islam Australia 27 459 2.0× 116 0.7× 94 0.6× 209 1.4× 311 2.3× 123 2.4k
Yongze Li China 21 158 0.7× 82 0.5× 73 0.4× 141 0.9× 325 2.4× 83 1.8k
Kiheon Lee South Korea 20 222 1.0× 76 0.5× 174 1.1× 75 0.5× 218 1.6× 75 1.3k
Tanica Lyngdoh India 17 339 1.5× 145 0.9× 39 0.2× 91 0.6× 204 1.5× 40 1.4k

Countries citing papers authored by Baibing Mi

Since Specialization
Citations

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

Fields of papers citing papers by Baibing Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baibing Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Baibing Mi. A scholar is included among the top collaborators of Baibing 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 Baibing Mi. Baibing 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.
Zhang, Binyan, Ke Men, Chao Li, et al.. (2025). Association Between Anti-Inflammatory Diet, Dietary Diversity, and Depressive Symptoms Among Chinese Pregnant Women. Nutrients. 17(17). 2823–2823.
2.
3.
Liu, Yezhou, Baibing Mi, Leilei Pei, et al.. (2024). Impact of intensive hypertension criteria on multimorbidity prevalence and patterns in a multi-ethnic Chinese population. Frontiers in Public Health. 12. 1443104–1443104.
4.
Jing, Hui, Ziping Wang, Baibing Mi, et al.. (2024). Does Serum Uric Acid Mediate Relation between Healthy Lifestyle and Components of Metabolic Syndrome?. Nutrients. 16(13). 2137–2137. 1 indexed citations
5.
Liu, Jingchun, Binyan Zhang, Peiying Yang, et al.. (2024). Secondhand smoking increased the possibility of hypertension with a significant time and frequency dose-response relationship. Scientific Reports. 14(1). 24950–24950. 2 indexed citations
6.
7.
Zhang, Binyan, Jingchun Liu, Shaowei Wu, et al.. (2023). Associations between long-term blood pressure trajectory and all-cause and CVD mortality among old people in China. Frontiers in Cardiovascular Medicine. 10. 1157327–1157327. 1 indexed citations
8.
Jing, Hui, Ziping Wang, Baibing Mi, et al.. (2023). Is Increasing Diet Diversity of Animal-Source Foods Related to Better Health-Related Quality of Life among Chinese Men and Women?. Nutrients. 15(19). 4183–4183. 6 indexed citations
9.
Li, Junqi, Jiawen Xie, Kun Xu, et al.. (2023). Differential Gut Microbiota, Dietary Intakes in Constipation Patients with or without Hypertension. Molecular Nutrition & Food Research. 67(22). e2300208–e2300208. 2 indexed citations
10.
Mi, Baibing, Yutong Wang, Kang Zhu, et al.. (2023). The effects of comorbidities on the change of taste and smell in COVID‐19 patients. Laryngoscope Investigative Otolaryngology. 8(1). 25–33. 1 indexed citations
11.
Liu, Jingchun, Yutong Wang, Binyan Zhang, et al.. (2023). Association of sleep behavior with depression: a cross-sectional study in northwestern China. Frontiers in Psychiatry. 14. 1171310–1171310. 5 indexed citations
12.
13.
Chen, Shiyu, Weiwei Hu, Yuhui Yang, et al.. (2023). Predicting Six-Month Re-Admission Risk in Heart Failure Patients Using Multiple Machine Learning Methods: A Study Based on the Chinese Heart Failure Population Database. Journal of Clinical Medicine. 12(3). 870–870. 18 indexed citations
14.
Liu, Xin, Hao Lai, Baibing Mi, et al.. (2020). Associations of Coarse Grain Intake with Undiagnosed Hypertension among Chinese Adults: Results from the China Kadoorie Biobank. Nutrients. 12(12). 3814–3814. 12 indexed citations
15.
Liu, Danmeng, Yue Cheng, Shaonong Dang, et al.. (2019). Maternal adherence to micronutrient supplementation before and during pregnancy in Northwest China: a large-scale population-based cross-sectional survey. BMJ Open. 9(8). e028843–e028843. 22 indexed citations
16.
Bai, Ruhai, Lingling Wang, Qi Zhang, et al.. (2017). [Spatial distribution and clustering in birth defects from 2010 to 2013 in Shaanxi Province].. PubMed. 42(4). 451–456. 1 indexed citations
17.
Wang, Linlin, et al.. (2016). [Epidemiological study on adverse pregnancy outcomes in Shaanxi province].. PubMed. 37(10). 1379–1382. 3 indexed citations
18.
Zhang, Qingmin, et al.. (2016). [Incidence of fetal macrosomia among single live birth neonates and influencing factors in Xi' an, 2010-2013].. PubMed. 37(8). 1095–8. 2 indexed citations
19.
Zhang, Li, Tao Li, Baibing Mi, et al.. (2015). Prognostic Value of the Percentage of Neutrophils on Admission in Patients with ST-elevated Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention. Archives of Medical Research. 46(4). 274–279. 13 indexed citations
20.
Hao, Ding-Jun, et al.. (2014). Anterior Cervical Discectomy and Fusion Versus Posterior Fixation and Fusion of C2–3 for Unstable Hangman’s Fracture. Journal of Spinal Disorders & Techniques. 28(2). E61–E66. 18 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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