Shusheng Luo

1.3k total citations
32 papers, 666 citations indexed

About

Shusheng Luo is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shusheng Luo has authored 32 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Obstetrics and Gynecology, 15 papers in Pediatrics, Perinatology and Child Health and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shusheng Luo's work include Gestational Diabetes Research and Management (12 papers), Pregnancy and preeclampsia studies (10 papers) and Birth, Development, and Health (9 papers). Shusheng Luo is often cited by papers focused on Gestational Diabetes Research and Management (12 papers), Pregnancy and preeclampsia studies (10 papers) and Birth, Development, and Health (9 papers). Shusheng Luo collaborates with scholars based in China, United States and Australia. Shusheng Luo's co-authors include Haijun Wang, Jue Liu, Jia-Xin Li, Yali Zhang, Leonardo Trasande, Jan Blustein, Chuyun Kang, Jianmeng Liu, Susan Hellerstein and Xiangrong Xu and has published in prestigious journals such as JAMA, The Science of The Total Environment and Social Science & Medicine.

In The Last Decade

Shusheng Luo

31 papers receiving 647 citations

Peers

Shusheng Luo
Jonathan A. Mayo United States
P Fischer Denmark
Eiko Suda Japan
Tami R. Bartell United States
Yip R United States
Shusheng Luo
Citations per year, relative to Shusheng Luo Shusheng Luo (= 1×) peers Javier Bernabe

Countries citing papers authored by Shusheng Luo

Since Specialization
Citations

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

Fields of papers citing papers by Shusheng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shusheng Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Shusheng Luo. A scholar is included among the top collaborators of Shusheng Luo 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 Shusheng Luo. Shusheng Luo 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.
Li, Yang, Tao Su, Li Qin, et al.. (2025). Development and validation of a prediction model for gestational diabetes mellitus based on clinical characteristics and laboratory biomarkers among Chinese women. Nutrition Metabolism and Cardiovascular Diseases. 35(10). 104065–104065.
2.
Liu, Cheng‐Lin, Sheng Wan, Yao Cheng, et al.. (2024). Occurrence, sources, and human exposure assessment of amine-based rubber additives in dust from various micro-environments in South China. The Science of The Total Environment. 955. 177023–177023. 2 indexed citations
3.
Zhou, Shuang, Yuming Guo, Tao Su, et al.. (2023). Individual and joint effect of indoor air pollution index and ambient particulate matter on fetal growth: a prospective cohort study. International Journal of Epidemiology. 52(3). 690–702. 6 indexed citations
4.
Liu, Zheng, Na Han, Tao Su, et al.. (2022). Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study. Frontiers in Pediatrics. 10. 899954–899954. 3 indexed citations
5.
Zhou, Shuang, Yuming Guo, Li‐Zi Lin, et al.. (2021). Individual and joint effects of prenatal green spaces, PM2.5 and PM1 exposure on BMI Z-score of children aged two years: A birth cohort study. Environmental Research. 205. 112548–112548. 3 indexed citations
6.
Du, Min, Jue Liu, Na Han, et al.. (2021). Maternal sleep quality during early pregnancy, risk factors and its impact on pregnancy outcomes: a prospective cohort study. Sleep Medicine. 79. 11–18. 37 indexed citations
7.
Zhou, Shuang, Heling Bao, Yuelong Ji, et al.. (2021). Gestational weight gain and the risk of gestational diabetes mellitus: A latent class trajectory analysis using birth cohort data. Diabetes Research and Clinical Practice. 182. 109130–109130. 20 indexed citations
8.
Xu, Xiangrong, Yuanyuan Wang, Xiangming Yang, et al.. (2021). Early Pregnancy Exposure to Rare Earth Elements and Risk of Gestational Diabetes Mellitus: A Nested Case-Control Study. Frontiers in Endocrinology. 12. 774142–774142. 11 indexed citations
9.
Lin, Li‐Zi, Qin Li, Gongbo Chen, et al.. (2020). The associations of residential greenness with fetal growth in utero and birth weight: A birth cohort study in Beijing, China. Environment International. 141. 105793–105793. 22 indexed citations
10.
Lin, Li‐Zi, Na Han, Zhiling Zhao, et al.. (2020). Plasma retinol-binding protein 4 in the first and second trimester and risk of gestational diabetes mellitus in Chinese women: a nested case-control study. Nutrition & Metabolism. 17(1). 1–1. 36 indexed citations
11.
Du, Min, Jue Liu, Na Han, et al.. (2020). Association between sleep duration in early pregnancy and risk of gestational diabetes mellitus: a prospective cohort study. Diabetes & Metabolism. 47(5). 101217–101217. 16 indexed citations
12.
Lin, Li‐Zi, Zhiling Zhao, Zheng Liu, et al.. (2020). Effects of dynamic change in fetuin-A levels from the first to the second trimester on insulin resistance and gestational diabetes mellitus: a nested case–control study. BMJ Open Diabetes Research & Care. 8(1). e000802–e000802. 17 indexed citations
13.
Lin, Li‐Zi, Na Han, Zhiling Zhao, et al.. (2019). Excessive gestational weight gain and the risk of gestational diabetes: Comparison of Intergrowth-21st standards, IOM recommendations and a local reference. Diabetes Research and Clinical Practice. 158. 107912–107912. 11 indexed citations
14.
Zhang, Jingxu, Sufang Guo, Ying Li, et al.. (2018). Factors influencing developmental delay among young children in poor rural China: a latent variable approach. BMJ Open. 8(8). e021628–e021628. 35 indexed citations
15.
Hellerstein, Susan, Chuyun Kang, Leonardo Trasande, et al.. (2018). The number of births in China in 2015: policy meets superstition. Science Bulletin. 63(19). 1235–1237. 2 indexed citations
16.
Zhang, Cuihong, Chunxia Zhao, Shusheng Luo, et al.. (2017). Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis. International Journal for Equity in Health. 16(1). 212–212. 14 indexed citations
17.
Zhou, Yubo, Shusheng Luo, Hongtian Li, Yanqiu Gao, & Jianmeng Liu. (2015). [Secular trends of premarital medical examination in China during 1996 and 2013].. PubMed. 47(3). 437–42. 2 indexed citations
18.
Wang, Xiaoli, et al.. (2009). Stunting and ‘overweight’ in the WHO Child Growth Standards – malnutrition among children in a poor area of China. Public Health Nutrition. 12(11). 1991–1998. 59 indexed citations
19.
Löfstedt, Petra, Shusheng Luo, & Annika Johansson. (2004). Abortion Patterns and Reported Sex Ratios at Birth in Rural Yunnan, China. Reproductive Health Matters. 12(24). 86–95. 28 indexed citations
20.
Wang, Caroline C., Yan Wang, Jing Fang, et al.. (2003). Reproductive health indicators for China's rural areas. Social Science & Medicine. 57(2). 217–225. 24 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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