Changchun Cao

2.2k total citations · 1 hit paper
125 papers, 1.5k citations indexed

About

Changchun Cao is a scholar working on Nephrology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Changchun Cao has authored 125 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nephrology, 37 papers in Epidemiology and 33 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Changchun Cao's work include Acute Kidney Injury Research (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers) and Liver Disease Diagnosis and Treatment (19 papers). Changchun Cao is often cited by papers focused on Acute Kidney Injury Research (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers) and Liver Disease Diagnosis and Treatment (19 papers). Changchun Cao collaborates with scholars based in China, United States and United Kingdom. Changchun Cao's co-authors include Xin Wan, Haofei Hu, Yong Han, Xiaodan Zheng, Xin Chen, Mengqing Ma, Binbin Pan, Xianlin Xu, Dongming Chen and Yongcheng He and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Changchun Cao

114 papers receiving 1.5k citations

Hit Papers

Link between triglyceride-glucose-body mass index and fut... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study
    2024 58 citations Haofei Hu, Changchun Cao et al. profile →

Peers

Changchun Cao
Wei Cao China
Julie E. Goodwin United States
Guijun Qin China
Kum Hyun Han South Korea
Jee‐Young Han South Korea
Giovanni M. Puddu Italy
Steven Harwood United Kingdom
Jan M. Williams United States
Peter F. Mount Australia
Silvia Pinach Italy
Wei Cao China
Changchun Cao
Citations per year, relative to Changchun Cao Changchun Cao (= 1×) peers Wei Cao

Countries citing papers authored by Changchun Cao

Since Specialization
Citations

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

Fields of papers citing papers by Changchun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changchun Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Changchun Cao. A scholar is included among the top collaborators of Changchun Cao 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 Changchun Cao. Changchun Cao 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
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Li, Yawei, Linlin Shan, Changchun Cao, et al.. (2025). Triglyceride glucose-waist circumference as a useful predictor for diabetes mellitus: a secondary retrospective analysis utilizing a Japanese cohort study. BMC Endocrine Disorders. 25(1). 17–17. 1 indexed citations
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Cao, Changchun, et al.. (2024). Nonlinear relationship between triglyceride-glucose index and the risk of prediabetes and diabetes: a secondary retrospective cohort study. Frontiers in Endocrinology. 15. 1416634–1416634. 5 indexed citations
5.
Ma, Mengqing, et al.. (2024). A Machine Learning–Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study. Journal of Medical Internet Research. 26. e51255–e51255. 2 indexed citations
6.
Zhang, Xiaotian, Jun Li, Changchun Cao, et al.. (2024). Nrf2 activation by neferine mitigates microglial neuroinflammation after subarachnoid hemorrhage through inhibiting TAK1-NF-κB signaling. International Immunopharmacology. 130. 111693–111693. 7 indexed citations
7.
Luo, Jiao, You Cai, Peng Xiao, et al.. (2024). Inflammation‐Derived and Clinical Indicator‐Based Predictive Model for Ischemic Stroke Recovery. Journal of the American Heart Association. 13(15). e035609–e035609. 2 indexed citations
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Wang, Yuanqing, Fubing Zha, Yong Han, et al.. (2023). Nonlinear connection between remnant cholesterol and stroke risk: evidence from the China health and retirement longitudinal study. Lipids in Health and Disease. 22(1). 181–181. 6 indexed citations
11.
Cao, Changchun, Haofei Hu, Yong Han, et al.. (2023). The nonlinear correlation between alanine aminotransferase to high-density lipoprotein cholesterol ratio and the risk of diabetes: a historical Japanese cohort study. BMC Endocrine Disorders. 23(1). 124–124. 11 indexed citations
12.
Zou, Yang, et al.. (2022). Relationship between creatinine to body weight ratios and diabetes mellitus: A Chinese cohort study. Journal of Diabetes. 14(3). 167–178. 6 indexed citations
13.
Cao, Changchun, Haofei Hu, Xiaodan Zheng, et al.. (2022). Association between central obesity and incident diabetes mellitus among Japanese: a retrospective cohort study using propensity score matching. Scientific Reports. 12(1). 13445–13445. 20 indexed citations
14.
Li, Jing, Yan Tan, Mengqing Ma, et al.. (2021). Interaction of Acute Respiratory Failure and Acute Kidney Injury on in-Hospital Mortality of Patients with Acute Exacerbation COPD. SHILAP Revista de lepidopterología. 8 indexed citations
15.
Yuan, Hongbo, Changchun Cao, Zhihe Liu, et al.. (2021). Impact of acute kidney injury on in-hospital outcomes in Chinese patients with community acquired pneumonia. BMC Pulmonary Medicine. 21(1). 143–143. 9 indexed citations
16.
Wan, Xin, Yan Tan, Mengqing Ma, et al.. (2020). <p>Incidence, Risk Factors, and Prognostic Implications of Acute Kidney Injury in Patients with Acute Exacerbation of COPD</p>. International Journal of COPD. Volume 15. 1085–1092. 13 indexed citations
17.
Wan, Xin, Wenwen Li, Mengqing Ma, et al.. (2019). Retinoic acid attenuates contrast-induced acute kidney injury in a miniature pig model. Biochemical and Biophysical Research Communications. 512(2). 163–169. 16 indexed citations
18.
Pan, Binbin, et al.. (2019). Relationships of Chronic Kidney Disease and Thyroid Dysfunction in Non-Dialysis Patients: A Pilot Study. Kidney & Blood Pressure Research. 44(2). 170–178. 16 indexed citations
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Wan, Xin, Lin Liu, Wenjuan Huang, et al.. (2013). Berberine Ameliorates Chronic Kidney Injury Caused by Atherosclerotic Renovascular Disease through the Suppression of NFκB Signaling Pathway in Rats. PLoS ONE. 8(3). e59794–e59794. 39 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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