Yayi Hu

1.4k total citations
38 papers, 314 citations indexed

About

Yayi Hu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Yayi Hu has authored 38 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Obstetrics and Gynecology, 13 papers in Pediatrics, Perinatology and Child Health and 11 papers in Surgery. Recurrent topics in Yayi Hu's work include Pregnancy and preeclampsia studies (10 papers), Pediatric Hepatobiliary Diseases and Treatments (7 papers) and Gestational Diabetes Research and Management (7 papers). Yayi Hu is often cited by papers focused on Pregnancy and preeclampsia studies (10 papers), Pediatric Hepatobiliary Diseases and Treatments (7 papers) and Gestational Diabetes Research and Management (7 papers). Yayi Hu collaborates with scholars based in China, United States and Italy. Yayi Hu's co-authors include Dan Shan, Peiyuan Qiu, Yuxia Wu, Wei Wei, Ranran Wang, Ailin Li, Qian Chen, Sivakumar Ramadoss, Xiong‐Fei Pan and Yi Bai and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yayi Hu

32 papers receiving 308 citations

Peers

Yayi Hu

PPCH

PHEOH

ONCOL

SURGE

Ewa Mierzejewska Poland

Osama Alomar Saudi Arabia

Ahter Tanay Tayyar Türkiye

Halil Gürsoy Pala Türkiye

Orhan Şahin Türkiye

Çiğdem Yayla Abide Türkiye

Aykut Barut Türkiye

Esra Nur Tola Türkiye

Renu Singh India

Chia‐Hua Lin Taiwan

Ewa Mierzejewska Poland

Yayi Hu

76 ×0.6

114 ×1.0

PPCH

50 ×0.7

PHEOH

28 ×0.5

ONCOL

28 ×0.6

SURGE

Citations per year, relative to Yayi Hu Yayi Hu (= 1×) peers Ewa Mierzejewska

Countries citing papers authored by Yayi Hu

Since Specialization

Citations

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

Fields of papers citing papers by Yayi Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayi Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yayi Hu. A scholar is included among the top collaborators of Yayi Hu 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 Yayi Hu. Yayi Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Qian, et al.. (2025). Unraveling the role of the gut microbiome in pregnancy disorders: insights and implications. Frontiers in Cellular and Infection Microbiology. 15. 1521754–1521754. 3 indexed citations

Li, Yingru, Ping Wu, Fengjiang Sun, et al.. (2025). Association between Urinary Copper and Gestational Diabetes Mellitus: Role of Epigenome-Wide DNA Methylation and Proteomics. The Journal of Clinical Endocrinology & Metabolism. 111(4). 1136–1146. 2 indexed citations

Wang, Tianlei, Ping Wu, Yuxiang Wang, et al.. (2025). Associations between combined healthy lifestyle and adverse birth outcomes in 2 prospective cohorts: roles of gut microbiota and serum metabolites. American Journal of Clinical Nutrition. 122(6). 1735–1747.

Lai, Yu‐Wei, Xianli Li, Ping Wu, et al.. (2025). Associations of prepregnancy weight change with fetal growth and adverse birth outcomes: a prospective cohort study in China. American Journal of Clinical Nutrition. 122(2). 635–645. 1 indexed citations

Shan, Dan, et al.. (2024). Cesarean section “en caul” in preterm twin pregnancy: experience of a single center. Archives of Gynecology and Obstetrics. 310(2). 915–921.

Li, Jing, Zhonghan Sun, Fengjiang Sun, et al.. (2024). Gut antibiotic resistome during pregnancy associates with the risk of gestational diabetes mellitus: New evidence from a prospective nested case−control study. Journal of Hazardous Materials. 478. 135434–135434. 3 indexed citations

Shan, Dan, et al.. (2024). Current understanding of essential trace elements in intrahepatic cholestasis of pregnancy. BioMetals. 37(4). 943–953. 3 indexed citations

Wang, Jingyi, Jiajing Xu, Ping Wu, et al.. (2024). Association of trajectories and cumulative exposure of antenatal depression with high birth weight. Journal of Affective Disorders. 362. 334–340.

Wu, Yuxia, et al.. (2024). Could the YEARS algorithm be applied to evaluate suspected pulmonary embolism in hospitalized women after cesarean section?. International Journal of Gynecology & Obstetrics. 167(1). 374–382. 1 indexed citations

10.

Wang, Yi, Ping Wu, Xue Yang, et al.. (2023). Blood Cell Parameters From Early to Middle Pregnancy and Risk of Gestational Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 108(12). e1702–e1711. 19 indexed citations

11.

Wu, Ping, Yi Wang, Yi Ye, et al.. (2023). Liver biomarkers, lipid metabolites, and risk of gestational diabetes mellitus in a prospective study among Chinese pregnant women. BMC Medicine. 21(1). 150–150. 25 indexed citations

12.

Lai, Yu‐Wei, Linjing Wu, Yi Wang, et al.. (2023). Association between Prepregnancy Weight Change and Risk of Gestational Diabetes Mellitus in Chinese Pregnant Women. American Journal of Clinical Nutrition. 117(6). 1353–1361. 3 indexed citations

13.

Tang, Lin, et al.. (2023). Assessment of Soluble Intercellular Adhesion Molecule-1 Based Rapid Test for a Quick Diagnosis of Atypical Prelabor Rupture of Membranes in the Emergency Setting. SHILAP Revista de lepidopterología. 50(6).

14.

Hu, Yayi, et al.. (2023). Elevated GABRP expression is correlated to the excessive autophagy in intrahepatic cholestasis of pregnancy. Heliyon. 9(2). e13221–e13221. 4 indexed citations

15.

Shan, Dan, et al.. (2023). Hepatoprotective agents in the management of intrahepatic cholestasis of pregnancy: current knowledge and prospects. Frontiers in Pharmacology. 14. 1218432–1218432. 5 indexed citations

16.

Shan, Dan, et al.. (2021). Current understanding of autophagy in intrahepatic cholestasis of pregnancy. Placenta. 115. 53–59. 15 indexed citations

17.

Shan, Dan, Peiyuan Qiu, Yuxia Wu, et al.. (2018). Pregnancy Outcomes in Women of Advanced Maternal Age: a Retrospective Cohort Study from China. Scientific Reports. 8(1). 12239–12239. 86 indexed citations

18.

Shan, Dan, Yayi Hu, Peiyuan Qiu, et al.. (2016). Intrahepatic Cholestasis of Pregnancy in Women With Twin Pregnancy. Twin Research and Human Genetics. 19(6). 697–707. 20 indexed citations

19.

Zhou, Fan, et al.. (2016). Hypoxia-induced regulation of placental REDD1 and mTOR was impaired in a rat model of estrogen-induced cholestasis. Archives of Gynecology and Obstetrics. 294(6). 1219–1226. 3 indexed citations

20.

Wang, Danqing, Yayi Hu, Ying He, Cong Xie, & Rutie Yin. (2009). Pure ovarian choriocarinoma mimicking ectopic pregnancy in true hermaphroditism. Acta Obstetricia Et Gynecologica Scandinavica. 88(7). 850–852. 2 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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