Yi Mu

4.3k total citations · 1 hit paper
64 papers, 2.3k citations indexed

About

Yi Mu is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yi Mu has authored 64 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pediatrics, Perinatology and Child Health, 34 papers in Obstetrics and Gynecology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yi Mu's work include Global Maternal and Child Health (18 papers), Maternal and Perinatal Health Interventions (16 papers) and Pregnancy and preeclampsia studies (15 papers). Yi Mu is often cited by papers focused on Global Maternal and Child Health (18 papers), Maternal and Perinatal Health Interventions (16 papers) and Pregnancy and preeclampsia studies (15 papers). Yi Mu collaborates with scholars based in China, United Kingdom and United States. Yi Mu's co-authors include Juan Liang, Carine Ronsmans, Jun Zhu, Ahmad Reza Hosseinpoor, Dácio de Lyra Rabello Neto, Fernando C. Barros, Aluísio J. D. Barros, Dessalegn Y. Melesse, Ann‐Beth Moller and Ties Boerma and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.

In The Last Decade

Yi Mu

58 papers receiving 2.3k citations

Hit Papers

Global epidemiology of use of and disparities in caesarea... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Mu China 20 1.4k 1.3k 531 226 208 64 2.3k
Paul D Sutton United States 14 1.0k 0.7× 665 0.5× 548 1.0× 296 1.3× 151 0.7× 16 2.2k
Sven Cnattingius Sweden 30 1.6k 1.2× 1.3k 1.0× 775 1.5× 235 1.0× 347 1.7× 65 3.4k
Amina P. Alio United States 32 1.3k 0.9× 1.2k 0.9× 733 1.4× 586 2.6× 182 0.9× 109 2.7k
Qiuying Yang Canada 27 1.3k 0.9× 884 0.7× 664 1.3× 226 1.0× 80 0.4× 53 2.4k
Michael Helewa Canada 27 2.1k 1.6× 2.3k 1.8× 837 1.6× 322 1.4× 245 1.2× 64 3.4k
Alison L. Park Canada 22 1.2k 0.9× 1.3k 1.0× 429 0.8× 151 0.7× 177 0.9× 76 2.4k
Jiabi Qin China 29 1.1k 0.8× 701 0.6× 695 1.3× 105 0.5× 344 1.7× 125 2.8k
Kristi Seed United States 7 1.7k 1.2× 1.6k 1.3× 745 1.4× 323 1.4× 239 1.1× 8 3.0k
Jennifer Stuart United States 26 1.2k 0.9× 1.6k 1.3× 500 0.9× 91 0.4× 139 0.7× 77 2.7k
Naomi E. Stotland United States 25 1.1k 0.8× 1.9k 1.5× 827 1.6× 251 1.1× 483 2.3× 47 2.5k

Countries citing papers authored by Yi Mu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Mu. A scholar is included among the top collaborators of Yi Mu 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 Yi Mu. Yi Mu 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, Jiani, Qi Cao, Jinfeng Xu, et al.. (2025). Development and validation of a prediction model for gestational diabetes mellitus risk among women from 8 to 14 weeks of gestation in Western China. BMC Pregnancy and Childbirth. 25(1). 385–385.
2.
Mu, Yi, et al.. (2024). Two-stage optimization strategy for the active distribution network considering source-load uncertainty. Energy Informatics. 7(1). 1 indexed citations
3.
Yu, Zhaoyan, Ting Dong, Qing Xie, et al.. (2024). Risk factors of cervical central lymph node metastasis in stage T1a unifocal papillary thyroid carcinoma. Scientific Reports. 14(1). 25577–25577. 1 indexed citations
6.
Yang, Yi, Yanxia Xie, Mingrong Li, et al.. (2022). Characteristics and fetal outcomes of pregnant women with hypertensive disorders in China: a 9-year national hospital-based cohort study. BMC Pregnancy and Childbirth. 22(1). 924–924. 5 indexed citations
7.
Tao, Jing, Yi Mu, Peiran Chen, et al.. (2022). Pregnancy complications and risk of uterine rupture among women with singleton pregnancies in China. BMC Pregnancy and Childbirth. 22(1). 131–131. 7 indexed citations
8.
Xie, Yanxia, Juan Liang, Yi Mu, et al.. (2021). Incidence, trends and risk factors for obstetric massive blood transfusion in China from 2012 to 2019: an observational study. BMJ Open. 11(9). e047983–e047983. 3 indexed citations
9.
Xie, Yanxia, Xiaodong Wang, Yi Mu, et al.. (2021). Characteristics and adverse outcomes of Chinese adolescent pregnancies between 2012 and 2019. Scientific Reports. 11(1). 12508–12508. 9 indexed citations
10.
Chen, Peiran, Mingrong Li, Jun Zhu, et al.. (2020). Provincial-level outcomes of China’s ‘Reducing maternal mortality and eliminating neonatal tetanus’ program. Scientific Reports. 10(1). 13328–13328. 3 indexed citations
11.
Boerma, Ties, Carine Ronsmans, Dessalegn Y. Melesse, et al.. (2019). Global Epidemiology of Use of and Disparities in Caesarean Sections. Obstetrical & Gynecological Survey. 74(3). 135–137. 5 indexed citations
12.
Xiang, Liangcheng, Zhen Liu, Yi Mu, et al.. (2019). Association of maternal disease and medication use with the risk of congenital heart defects in offspring: a case-control study using logistic regression with a random-effects model. Journal of Perinatal Medicine. 47(4). 455–463. 6 indexed citations
13.
14.
Li, Nana, Yi Mu, Zhen Liu, et al.. (2018). Assessment of interaction between maternal polycyclic aromatic hydrocarbons exposure and genetic polymorphisms on the risk of congenital heart diseases. Scientific Reports. 8(1). 3075–3075. 35 indexed citations
15.
Shi, Lei, Tao Sun, Lei Gao, et al.. (2017). A cross–sectional study on the prevalence and associated risk factors for workplace violence against Chinese nurses. BMJ Open. 7(6). e013105–e013105. 110 indexed citations
16.
Li, Zhe, Lei Shi, Xin Li, et al.. (2017). Workplace violence against medical staff of Chinese children's hospitals: A cross-sectional study. PLoS ONE. 12(6). e0179373–e0179373. 70 indexed citations
17.
Jiang, Li, et al.. (2014). Prognostic value of CYP2W1 expression in patients with human hepatocellular carcinoma. Tumor Biology. 35(8). 7669–7673. 15 indexed citations
18.
Deng, Kui, Jie Qiu, Li Dai, et al.. (2014). Perinatal mortality in pregnancies with omphalocele: data from the Chinese national birth defects monitoring network, 1996–2006. BMC Pediatrics. 14(1). 160–160. 22 indexed citations
20.
Mu, Yi, et al.. (2012). Moxifloxacin monotherapy for treatment of complicated intra-abdominal infections: a meta-analysis of randomised controlled trials. International Journal of Clinical Practice. 66(2). 210–217. 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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