Xiangping Chai

1.3k total citations
69 papers, 828 citations indexed

About

Xiangping Chai is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Xiangping Chai has authored 69 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 22 papers in Cardiology and Cardiovascular Medicine and 10 papers in Surgery. Recurrent topics in Xiangping Chai's work include Aortic Disease and Treatment Approaches (21 papers), Aortic aneurysm repair treatments (16 papers) and Cardiac Valve Diseases and Treatments (10 papers). Xiangping Chai is often cited by papers focused on Aortic Disease and Treatment Approaches (21 papers), Aortic aneurysm repair treatments (16 papers) and Cardiac Valve Diseases and Treatments (10 papers). Xiangping Chai collaborates with scholars based in China, United States and Ireland. Xiangping Chai's co-authors include Guifang Yang, Zhenyu Peng, Wen Peng, Yang Zhou, Ning Ding, Xudong Xiang, Zhenhua Xing, Xiaozhou Li, Dongshan Zhang and Yijian Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Xiangping Chai

65 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangping Chai China 17 248 228 191 139 127 69 828
Hongmei Yao China 15 141 0.6× 295 1.3× 172 0.9× 112 0.8× 57 0.4× 41 898
Fotios Barkas Greece 20 171 0.7× 139 0.6× 167 0.9× 336 2.4× 115 0.9× 100 1.0k
Linggen Gao China 16 256 1.0× 275 1.2× 225 1.2× 177 1.3× 51 0.4× 43 877
Stephen Zewinger Germany 12 100 0.4× 176 0.8× 191 1.0× 247 1.8× 127 1.0× 22 934
Yongyi Bai China 16 119 0.5× 127 0.6× 511 2.7× 120 0.9× 89 0.7× 54 930
Takashi Hisamatsu Japan 21 230 0.9× 211 0.9× 674 3.5× 194 1.4× 196 1.5× 139 1.4k
Ling Tu China 19 80 0.3× 318 1.4× 121 0.6× 125 0.9× 139 1.1× 59 1.1k
Mei Dong China 16 109 0.4× 317 1.4× 222 1.2× 138 1.0× 256 2.0× 49 1.1k
Leyi Gu China 15 154 0.6× 364 1.6× 109 0.6× 120 0.9× 130 1.0× 43 1.2k
Kausik Umanath United States 14 141 0.6× 301 1.3× 164 0.9× 193 1.4× 90 0.7× 27 1.4k

Countries citing papers authored by Xiangping Chai

Since Specialization
Citations

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

Fields of papers citing papers by Xiangping Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangping Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangping Chai. A scholar is included among the top collaborators of Xiangping Chai 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 Xiangping Chai. Xiangping Chai 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.
2.
3.
Yang, Guifang, et al.. (2024). The Macrophage migration inhibitory factor is a vital player in Pan-Cancer by functioning as a M0 Macrophage biomarker. International Immunopharmacology. 134. 112198–112198. 6 indexed citations
4.
Su, Yingjie, et al.. (2023). The relationship between depression based on patient health questionaire-9 and cardiovascular mortality in patients with hypertension. Journal of Affective Disorders. 345. 78–84. 13 indexed citations
5.
Yang, Guifang, Yang Zhou, Aifang Zhong, et al.. (2023). Higher plasma aldosterone concentrations in patients with aortic diseases and hypertension: a retrospective observational study. European journal of medical research. 28(1). 541–541.
6.
Li, Xiaozhou, Jian Pan, Huiling Li, et al.. (2022). DsbA-L interacts with VDAC1 in mitochondrion-mediated tubular cell apoptosis and contributes to the progression of acute kidney disease. EBioMedicine. 76. 103859–103859. 26 indexed citations
7.
Xing, Zhenhua & Xiangping Chai. (2022). Changes in fat mass and lean body mass and outcomes in type 2 diabetes mellitus. Internal and Emergency Medicine. 17(4). 1073–1080. 5 indexed citations
8.
Ai, Kai, Xiaozhou Li, Pan Zhang, et al.. (2022). Genetic or siRNA inhibition of MBD2 attenuates the UUO- and I/R-induced renal fibrosis via downregulation of EGR1. Molecular Therapy — Nucleic Acids. 28. 77–86. 27 indexed citations
9.
Zhu, Zhaowei, Xiangping Chai, Zhenfei Fang, et al.. (2021). Similarities and Differences of CT Features between COVID-19 Pneumonia and Heart Failure. SHILAP Revista de lepidopterología. 6(1). 1 indexed citations
10.
Wang, Shaoxiong, Shuizi Ding, Hong Luo, & Xiangping Chai. (2021). International Normalized Ratio to Albumin Ratio (PTAR): An Objective Risk Stratification Tool in Patients with Sepsis. International Journal of General Medicine. Volume 14. 1829–1841. 7 indexed citations
11.
Ding, Ning, et al.. (2021). An Artificial Neural Networks Model for Early Predicting In‐Hospital Mortality in Acute Pancreatitis in MIMIC‐III. BioMed Research International. 2021(1). 6638919–6638919. 32 indexed citations
12.
Fang, Zhuo, et al.. (2021). Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients. Frontiers in Cardiovascular Medicine. 8. 727773–727773. 24 indexed citations
13.
Ding, Ning, et al.. (2021). Nomogram for the Prediction of In-Hospital Incidence of Acute Respiratory Distress Syndrome in Patients with Acute Pancreatitis. The American Journal of the Medical Sciences. 363(4). 322–332. 14 indexed citations
14.
Zhong, Aifang, Ning Ding, Yang Zhou, et al.. (2021). Identification of Hub Genes Associated with the Pathogenesis of Intracranial Aneurysm via Integrated Bioinformatics Analysis. International Journal of General Medicine. Volume 14. 4039–4050. 6 indexed citations
15.
Li, Xiaozhou, Jian Pan, Huiling Li, et al.. (2020). DsbA-L mediated renal tubulointerstitial fibrosis in UUO mice. Nature Communications. 11(1). 4467–4467. 84 indexed citations
16.
Zhou, Yang, et al.. (2020). Triglyceride/High‐Density Lipoprotein Cholesterol Ratio Is Associated with In‐Hospital Mortality in Acute Type B Aortic Dissection. BioMed Research International. 2020(1). 5419846–5419846. 13 indexed citations
17.
Yang, Guifang, et al.. (2019). Ischemia-Modified Albumin, a Novel Predictive Marker of In-Hospital Mortality in Acute Aortic Dissection Patients. Frontiers in Physiology. 10. 1253–1253. 13 indexed citations
18.
Guo, Tao, et al.. (2017). Downregulation of P16 promotes cigarette smoke extract-induced vascular smooth muscle cell proliferation via preventing G1/S phase transition. Experimental and Therapeutic Medicine. 14(1). 214–220. 12 indexed citations
19.
Zhou, Qin, Xiangping Chai, Zhenfei Fang, Xinqun Hu, & Liang Tang. (2016). Association of Plasma Pentraxin-3 Levels on Admission with In-hospital Mortality in Patients with Acute Type A Aortic Dissection. Chinese Medical Journal. 129(21). 2589–2595. 12 indexed citations
20.
Peng, Wen, Zhenyu Peng, Xiangping Chai, et al.. (2015). Potential biomarkers for early diagnosis of acute aortic dissection. Heart & Lung. 44(3). 205–208. 25 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hongmei Yao Breakdown of academic impact, for papers by Fotios Barkas Breakdown of academic impact, for papers by Linggen Gao Breakdown of academic impact, for papers by Stephen Zewinger Breakdown of academic impact, for papers by Yongyi Bai Breakdown of academic impact, for papers by Takashi Hisamatsu Breakdown of academic impact, for papers by Ling Tu Breakdown of academic impact, for papers by Mei Dong Breakdown of academic impact, for papers by Leyi Gu Breakdown of academic impact, for papers by Kausik Umanath
Rankless by CCL
2026