Shaofei Su

704 total citations
46 papers, 418 citations indexed

About

Shaofei Su is a scholar working on Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Shaofei Su has authored 46 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Obstetrics and Gynecology, 17 papers in Public Health, Environmental and Occupational Health and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Shaofei Su's work include Pregnancy and preeclampsia studies (14 papers), Gestational Diabetes Research and Management (7 papers) and Birth, Development, and Health (7 papers). Shaofei Su is often cited by papers focused on Pregnancy and preeclampsia studies (14 papers), Gestational Diabetes Research and Management (7 papers) and Birth, Development, and Health (7 papers). Shaofei Su collaborates with scholars based in China, Australia and United States. Shaofei Su's co-authors include Meina Liu, Xinyu Wang, Han Bao, Wentao Yue, Xi Li, Chenghong Yin, Enjie Zhang, Ruixia Liu, Zhiqiang Wang and Yue Zhang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and American Journal of Obstetrics and Gynecology.

In The Last Decade

Shaofei Su

39 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaofei Su China 12 109 101 84 77 56 46 418
Leilei Pei China 16 100 0.9× 139 1.4× 65 0.8× 136 1.8× 75 1.3× 55 656
Mirjana Varjačić Serbia 8 44 0.4× 74 0.7× 11 0.1× 49 0.6× 78 1.4× 34 284
Jiangli Di China 14 164 1.5× 106 1.0× 128 1.5× 102 1.3× 50 0.9× 39 742
Sébastien Lamy France 13 39 0.4× 90 0.9× 111 1.3× 95 1.2× 103 1.8× 60 507
Hongjuan Yu China 18 12 0.1× 61 0.6× 74 0.9× 64 0.8× 85 1.5× 36 615
Talia Foster United States 13 48 0.4× 63 0.6× 132 1.6× 84 1.1× 81 1.4× 15 742
José Luís Bernal Muñoz Spain 15 41 0.4× 24 0.2× 85 1.0× 60 0.8× 33 0.6× 35 579
Lockwood G. Taylor United States 14 94 0.9× 141 1.4× 96 1.1× 218 2.8× 35 0.6× 30 758
Sabine Grimm Netherlands 11 27 0.2× 31 0.3× 56 0.7× 44 0.6× 105 1.9× 50 516

Countries citing papers authored by Shaofei Su

Since Specialization
Citations

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

Fields of papers citing papers by Shaofei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaofei Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shaofei Su. A scholar is included among the top collaborators of Shaofei Su 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 Shaofei Su. Shaofei Su 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.
Su, Shaofei, et al.. (2024). Use of the WHO partograph and Zhang’s guideline for labor and delivery in China: implications for clinical practice. BMC Pregnancy and Childbirth. 24(1). 799–799.
2.
Yan, Ruohua, Shen Gao, Xiaohang Liu, et al.. (2024). Assisted reproductive technology and the risk of birth defects mediated by multifetal pregnancy: evidence from the China Birth Cohort Study. American Journal of Obstetrics and Gynecology. 232(6). 572.e1–572.e20.
3.
Cui, Yuchen, Shen Gao, Li‐Zi Lin, et al.. (2024). Associations of residential greenness exposure during early pregnancy with the risk of spontaneous abortion: the China Birth Cohort Study. Environmental Sciences Europe. 36(1). 2 indexed citations
4.
5.
Hu, Li-Wen, Zheng Zhang, Alexander Heazell, et al.. (2024). Outdoor light at night exposure was associated with hypothyroidism in pregnant women: A national study in China. The Science of The Total Environment. 958. 178017–178017. 1 indexed citations
6.
7.
Sun, Yongqing, Man Zhang, Wenjing Wu, et al.. (2023). Ambient cold exposure amplifies the effect of ambient PM1 on blood pressure and hypertensive disorders of pregnancy among Chinese pregnant women: A nationwide cohort study. The Science of The Total Environment. 897. 165234–165234. 1 indexed citations
8.
Zhang, Enjie, Shaofei Su, Shen Gao, et al.. (2023). Coronavirus Disease 2019 Pandemic-Related Long-Term Chronic Impacts on Psychological Health of Perinatal Women in China. American Journal of Perinatology. 41(S 01). e1301–e1312. 5 indexed citations
9.
Sun, Yongqing, Man Zhang, Wangjian Zhang, et al.. (2023). Potential impact of ambient temperature on maternal blood pressure and hypertensive disorders of pregnancy: A nationwide multicenter study based on the China birth cohort. Environmental Research. 227. 115733–115733. 7 indexed citations
10.
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12.
Gao, Yan, Hui Shi, Hongyu Zhao, et al.. (2023). Single‐cell transcriptomics identify TNFRSF1B as a novel T‐cell exhaustion marker for ovarian cancer. Clinical and Translational Medicine. 13(9). e1416–e1416. 14 indexed citations
13.
Yue, Wentao, Enjie Zhang, Ruixia Liu, et al.. (2022). The China birth cohort study (CBCS). European Journal of Epidemiology. 37(3). 295–304. 47 indexed citations
14.
Gao, Shen, Shaofei Su, Enjie Zhang, et al.. (2022). Psychological health status in postpartum women during COVID-19 pandemic: A systematic review and meta-analysis. Journal of Affective Disorders. 319. 99–111. 14 indexed citations
15.
Li, Xi, Chao Wang, Shazia Rehman, et al.. (2020). Setting performance benchmarks for stroke care delivery: Which quality indicators should be prioritized in quality improvement; an analysis in 500,331 stroke admissions. International Journal of Stroke. 16(6). 727–737. 9 indexed citations
16.
Wang, Chao, et al.. (2020). Identifying Performance Outliers for Stroke Care Based on Composite Score of Process Indicators: an Observational Study in China. Journal of General Internal Medicine. 35(9). 2621–2628. 4 indexed citations
17.
Wang, Chao, et al.. (2019). Factors analysis on the use of key quality indicators for narrowing the gap of quality of care of breast cancer. BMC Cancer. 19(1). 1099–1099. 8 indexed citations
18.
Su, Shaofei, Han Bao, Xinyu Wang, et al.. (2017). The quality of invasive breast cancer care for low reimbursement rate patients: A retrospective study. PLoS ONE. 12(9). e0184866–e0184866. 8 indexed citations
19.
Wang, Xinyu, Shaofei Su, Shou‐Yi Li, et al.. (2017). Development of quality indicators for non-small cell lung cancer care: a first step toward assessing and improving quality of cancer care in China. BMC Cancer. 17(1). 603–603. 13 indexed citations
20.
Bao, Han, Fengjuan Yang, Xinyu Wang, et al.. (2015). Developing a set of quality indicators for breast cancer care in China. International Journal for Quality in Health Care. 27(4). 291–296. 21 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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