Jiying Wen

461 total citations
29 papers, 316 citations indexed

About

Jiying Wen is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Jiying Wen has authored 29 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Obstetrics and Gynecology, 14 papers in Pediatrics, Perinatology and Child Health and 5 papers in Surgery. Recurrent topics in Jiying Wen's work include Pregnancy and preeclampsia studies (16 papers), Gestational Diabetes Research and Management (13 papers) and Birth, Development, and Health (12 papers). Jiying Wen is often cited by papers focused on Pregnancy and preeclampsia studies (16 papers), Gestational Diabetes Research and Management (13 papers) and Birth, Development, and Health (12 papers). Jiying Wen collaborates with scholars based in China, United States and Australia. Jiying Wen's co-authors include Jianmin Niu, Xiaohong Lin, Lijuan Lv, Yuheng Zhou, Yi Wang, Zhijiang Liang, Qiong Lei, Dongmei Duan, Jie Yang and Bin Wang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and BMC Medicine.

In The Last Decade

Jiying Wen

20 papers receiving 310 citations

Peers

Jiying Wen
Hilary Roeder United States
M. Sorger Germany
Sharon Mackin United Kingdom
Leslie Touger United States
Katharine P. Stanley United Kingdom
Jinqi Li China
Hilary Roeder United States
Jiying Wen
Citations per year, relative to Jiying Wen Jiying Wen (= 1×) peers Hilary Roeder

Countries citing papers authored by Jiying Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jiying Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiying Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiying Wen. A scholar is included among the top collaborators of Jiying Wen 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 Jiying Wen. Jiying Wen 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
2.
Chen, Yang, Xiaoyan Wu, Junping Wang, et al.. (2025). Does preeclampsia impact the gut microbiota of preterm offspring during early infancy?. Journal of Translational Medicine. 23(1). 84–84.
3.
Li, Linjie, et al.. (2025). Blood Pressure Phenotype Variations at Different Gestational Stages and Associated Pregnancy Risks. American Journal of Hypertension. 38(7). 450–458.
6.
9.
Wen, Jiying, Yue Zhang, Ruochun Guo, et al.. (2024). Deep metagenomic characterization of the gut virome in pregnant women with preeclampsia. mSphere. 9(4). e0067623–e0067623. 4 indexed citations
10.
Li, Yuhan, et al.. (2024). The causal relationship between 91 inflammatory cytokines and Gestational Diabetes Mmellitus: A bidirectional two-sample Mendelian randomization study. Diabetes Research and Clinical Practice. 216. 111838–111838. 3 indexed citations
12.
Lv, Lijuan, Shenghui Li, Jiying Wen, et al.. (2022). Deep metagenomic characterization of gut microbial community and function in preeclampsia. Frontiers in Cellular and Infection Microbiology. 12. 933523–933523. 25 indexed citations
13.
Yang, Jie, Chunyi Zhang, Zhu Wang, et al.. (2018). Safety of Autologous Cord Blood Cells for Preterms: A Descriptive Study. Stem Cells International. 2018. 1–9. 22 indexed citations
14.
Lv, Lijuan, Linlin Wu, Jiying Wen, et al.. (2018). Excessive umbilical cord coiling confers risk of elevated nocturnal blood pressure and severe/early-onset preeclampsia. Journal of Hypertension. 37(1). 187–196. 9 indexed citations
15.
Wen, Jiying, et al.. (2017). The clinical research into the application of multifunctional airbag abdominal pressure belt in midwifery and in the prevention of postpartum hemorrhage. The Journal of Maternal-Fetal & Neonatal Medicine. 31(1). 128–134. 3 indexed citations
16.
Lei, Qiong, Xin Zhou, Yuheng Zhou, et al.. (2016). Prehypertension During Normotensive Pregnancy and Postpartum Clustering of Cardiometabolic Risk Factors. Hypertension. 68(2). 455–463. 12 indexed citations
17.
18.
Zhou, Yuheng, Jianmin Niu, Dongmei Duan, et al.. (2014). Lipoprotein-associated phospholipase A2 is associated with postpartum hypertension in women with history of preeclampsia. Heart and Vessels. 30(4). 503–509. 7 indexed citations
19.
Lv, Lijuan, Zhijiang Liang, Yi Wang, et al.. (2014). Continuous Glucose Monitoring Effects on Maternal Glycemic Control and Pregnancy Outcomes in Patients With Gestational Diabetes Mellitus: A Prospective Cohort Study. The Journal of Clinical Endocrinology & Metabolism. 99(12). 4674–4682. 108 indexed citations
20.
Zhou, Yuheng, Jianmin Niu, Dongmei Duan, et al.. (2014). [Incident and related risk factors of hypertension in women with a history of preeclampsia].. PubMed. 42(7). 603–8. 1 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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