Xiangli Bai

957 total citations
24 papers, 769 citations indexed

About

Xiangli Bai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xiangli Bai has authored 24 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiangli Bai's work include Lipid metabolism and disorders (6 papers), Caveolin-1 and cellular processes (6 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Xiangli Bai is often cited by papers focused on Lipid metabolism and disorders (6 papers), Caveolin-1 and cellular processes (6 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Xiangli Bai collaborates with scholars based in China and United States. Xiangli Bai's co-authors include Si Jin, Guangjie Wu, Shasha Xing, Fang Bian, Tao Zheng, Wenjing Li, Xiong Jia, Xiaoyan Yang, Dan Wu and Jiangyang Chi and has published in prestigious journals such as Scientific Reports, British Journal of Pharmacology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Xiangli Bai

24 papers receiving 767 citations

Peers

Xiangli Bai

EPIDE

EDM

CCM

IMMUN

Jiangyang Chi China

Shasha Xing China

Hwan‐Jin Hwang South Korea

Daoguang Yan China

Minna Woo Canada

Hu Xu China

Jianbin Gong China

Kazuo Fujisawa Japan

Meric Erikci Ertunc United States

Jiangyang Chi China

Xiangli Bai

424 ×0.9

145 ×1.0

EPIDE

111 ×0.8

EDM

128 ×1.1

CCM

122 ×1.2

IMMUN

Citations per year, relative to Xiangli Bai Xiangli Bai (= 1×) peers Jiangyang Chi

Countries citing papers authored by Xiangli Bai

Since Specialization

Citations

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

Fields of papers citing papers by Xiangli Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangli Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangli Bai. A scholar is included among the top collaborators of Xiangli Bai 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 Xiangli Bai. Xiangli Bai 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

Jia, Xiong, Xiangli Bai, Zhiqiang Yin, et al.. (2024). Siglec-5 as a novel receptor mediates endothelial cells oxLDL transcytosis to promote atherosclerosis. Translational research. 274. 49–66. 1 indexed citations

Huang, Zhen, et al.. (2024). Association Between Thromboelastography and Coagulation for Disease Severity Evaluation in Patients With Lower Extremity Arteriosclerosis Obliterans. Journal of Clinical Laboratory Analysis. 39(2). e25138–e25138. 1 indexed citations

Song, Yi, Ying Zhao, Xiangli Bai, et al.. (2023). Remnant cholesterol is independently asssociated with an increased risk of peripheral artery disease in type 2 diabetic patients. Frontiers in Endocrinology. 14. 1111152–1111152. 8 indexed citations

Jia, Xiong, Zongtao Liu, Yixuan Wang, Geng Li, & Xiangli Bai. (2023). Serum amyloid A and interleukin -1β facilitate LDL transcytosis across endothelial cells and atherosclerosis via NF-κB/caveolin-1/cavin-1 pathway. Atherosclerosis. 375. 87–97. 10 indexed citations

Meng, Shu, Wenzhuo Cheng, Xiong Jia, et al.. (2023). AGEs promote atherosclerosis by increasing LDL transcytosis across endothelial cells via RAGE/NF-κB/Caveolin-1 pathway. Molecular Medicine. 29(1). 113–113. 29 indexed citations

Cheng, Wenzhuo, Shu Meng, Xiangli Bai, et al.. (2023). Scavenger receptor a mediates glycated LDL transcytosis across endothelial cells to promote atherosclerosis. International Journal of Biological Macromolecules. 235. 123836–123836. 6 indexed citations

Shu, Yamin, Yuan Xiong, Yang Song, Si Jin, & Xiangli Bai. (2023). Positive association between circulating Caveolin-1 and microalbuminuria in overt diabetes mellitus in pregnancy. Journal of Endocrinological Investigation. 47(1). 201–212. 1 indexed citations

Zhao, Ying, Xiong Jia, Xiaoyan Yang, et al.. (2022). Deacetylation of Caveolin-1 by Sirt6 induces autophagy and retards high glucose-stimulated LDL transcytosis and atherosclerosis formation. Metabolism. 131. 155162–155162. 58 indexed citations

Jia, Xiong, Xiangli Bai, Xiaoyan Yang, et al.. (2022). VCAM-1-binding peptide targeted cationic liposomes containing NLRP3 siRNA to modulate LDL transcytosis as a novel therapy for experimental atherosclerosis. Metabolism. 135. 155274–155274. 23 indexed citations

10.

Zhu, Lin, Xiaoyan Yang, Juyi Li, et al.. (2021). Leptin gene-targeted editing in ob/ob mouse adipose tissue based on the CRISPR/Cas9 system. Journal of genetics and genomics. 48(2). 134–146. 15 indexed citations

11.

Zhao, Ying, Xiangli Bai, Xiong Jia, et al.. (2021). Age-related changes of human serum Sirtuin6 in adults. BMC Geriatrics. 21(1). 452–452. 16 indexed citations

12.

Huang, Juan, Lin Zhu, Xiangli Bai, et al.. (2020). Multidimensional Analysis of Risk Factors for the Severity and Mortality of Patients with COVID-19 and Diabetes. Infectious Diseases and Therapy. 9(4). 981–1002. 11 indexed citations

13.

Bai, Xiangli, Xiaoyan Yang, Xiong Jia, et al.. (2019). CAV1-CAVIN1-LC3B-mediated autophagy regulates high glucose-stimulated LDL transcytosis. Autophagy. 16(6). 1111–1129. 60 indexed citations

14.

Zhu, Lin, Guangjie Wu, Xiaoyan Yang, et al.. (2019). Low density lipoprotein mimics insulin action on autophagy and glucose uptake in endothelial cells. Scientific Reports. 9(1). 3020–3020. 22 indexed citations

15.

Bai, Xiangli, Xiu‐Ling Deng, Guangjie Wu, Wenjing Li, & Si Jin. (2019). Rhodiola and salidroside in the treatment of metabolic disorders. Mini-Reviews in Medicinal Chemistry. 19(19). 1611–1626. 42 indexed citations

16.

Li, Juyi, Xiaoyan Yang, Xiufang Wang, et al.. (2017). Siglec-5 is a novel marker of critical limb ischemia in patients with diabetes. Scientific Reports. 7(1). 11272–11272. 16 indexed citations

17.

Li, Wenjing, Xiaoyan Yang, Tao Zheng, et al.. (2017). TNF-α stimulates endothelial palmitic acid transcytosis and promotes insulin resistance. Scientific Reports. 7(1). 44659–44659. 27 indexed citations

18.

Bai, Xiangli, Xiaoyan Yang, Juyi Li, et al.. (2017). Cavin-1 regulates caveolae-mediated LDL transcytosis: crosstalk in an AMPK/eNOS/ NF-κB/Sp1 loop. Oncotarget. 8(61). 103985–103995. 23 indexed citations

19.

Bai, Xiangli, Xiaocheng Xu, Jiangnan He, et al.. (2016). [A cross-sectional study of moderate or severe visual impairment and blindness in residents with type 2 diabetes living in Xinjing Town, Shanghai].. PubMed. 52(11). 825–830. 1 indexed citations

20.

Xing, Shasha, Xiaoyan Yang, Tao Zheng, et al.. (2015). Salidroside improves endothelial function and alleviates atherosclerosis by activating a mitochondria-related AMPK/PI3K/Akt/eNOS pathway. Vascular Pharmacology. 72. 141–152. 86 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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