Xiangna Cai

728 total citations
15 papers, 604 citations indexed

About

Xiangna Cai is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Xiangna Cai has authored 15 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Epidemiology. Recurrent topics in Xiangna Cai's work include Atherosclerosis and Cardiovascular Diseases (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Dermatology and Skin Diseases (2 papers). Xiangna Cai is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Dermatology and Skin Diseases (2 papers). Xiangna Cai collaborates with scholars based in China, United States and Australia. Xiangna Cai's co-authors include Mayumi Fujita, David A. Norris, Yuchun Luo, Charles A. Dinarello, Jilin Li, Miyako Okamoto, Aki Tanaka, Weimin Liu, Sucai Liu and Claudia A. Nold‐Petry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and BioMed Research International.

In The Last Decade

Xiangna Cai

15 papers receiving 595 citations

Peers

Xiangna Cai
Zaipei Guo China
Mitra Abbasifard Iran
Jun Bao China
Ryoko Shinohata Japan
Aliia R. Fatkhullina United States
Hannes Datler Austria
H. Hassan Egypt
Iuliia O. Peshkova United States
Naijun Miao China
Jingwen Xia China
Zaipei Guo China
Xiangna Cai
Citations per year, relative to Xiangna Cai Xiangna Cai (= 1×) peers Zaipei Guo

Countries citing papers authored by Xiangna Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xiangna Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangna Cai

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

All Works

15 of 15 papers shown
1.
Ren, Shuai, et al.. (2024). KIAA1429 Promotes Keloid Formation Through the TGF-Β1/Smad Pathway. Current Molecular Medicine. 25(10). 1290–1300. 3 indexed citations
2.
Zhang, Changyi, Xiao‐Jun Huang, Bin Xie, et al.. (2024). The multi-protective effect of IL-37-Smad3 against ox-LDL induced dysfunction of endothelial cells. Biomedicine & Pharmacotherapy. 172. 116268–116268. 2 indexed citations
3.
Ren, Shuai, et al.. (2023). The m6A demethylase FTO promotes keloid formation by up-regulating COL1A1. Annals of Translational Medicine. 11(1). 15–15. 15 indexed citations
4.
Li, Jilin, et al.. (2020). Late diagnosis of coarctation of the aorta in a 44-year-old male: a case report. BMC Cardiovascular Disorders. 20(1). 470–470. 2 indexed citations
5.
Hu, Jing, et al.. (2019). Interleukin-37: The Effect of Anti-Inflammatory Response in Human Coronary Artery Endothelial Cells. Mediators of Inflammation. 2019. 1–12. 17 indexed citations
6.
Cai, Wenfeng, Shuping Zhong, Yanmei Zhang, et al.. (2018). Angiotensin II confers resistance to apoptosis in cardiac myofibroblasts through the AT1/ERK1/2/RSK1 pathway. IUBMB Life. 71(2). 261–276. 16 indexed citations
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8.
Cai, Xiangna, et al.. (2017). Effects of High-Intensity Interval Training on Aerobic Capacity in Cardiac Patients: A Systematic Review with Meta-Analysis. BioMed Research International. 2017. 1–16. 58 indexed citations
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Hu, Jing, et al.. (2015). Risk factors of failed transradial approach for percutaneous coronary interventions in Chaoshan Chinese: a locally retrospective analysis.. PubMed. 8(7). 11770–6. 8 indexed citations
12.
Li, Jilin, et al.. (2015). TLR2 expression doesn't change in ox-LDL mediated inflammation in Human umbilical vein endothelial cells under high glucose culture.. PubMed. 8(11). 22004–10. 5 indexed citations
13.
Luo, Yuchun, Xiangna Cai, Sucai Liu, et al.. (2014). Suppression of antigen-specific adaptive immunity by IL-37 via induction of tolerogenic dendritic cells. Proceedings of the National Academy of Sciences. 111(42). 15178–15183. 145 indexed citations
14.
Luo, Yuchun, Xiangna Cai, Sucai Liu, et al.. (2013). 171. Cytokine. 63(3). 283–283. 8 indexed citations
15.
Okamoto, Miyako, Weimin Liu, Yuchun Luo, et al.. (2009). Constitutively Active Inflammasome in Human Melanoma Cells Mediating Autoinflammation via Caspase-1 Processing and Secretion of Interleukin-1β. Journal of Biological Chemistry. 285(9). 6477–6488. 249 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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