Jun Cai

660 total citations
43 papers, 356 citations indexed

About

Jun Cai is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jun Cai has authored 43 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 15 papers in Cardiology and Cardiovascular Medicine and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jun Cai's work include Vasculitis and related conditions (15 papers), Hormonal Regulation and Hypertension (9 papers) and Blood Pressure and Hypertension Studies (8 papers). Jun Cai is often cited by papers focused on Vasculitis and related conditions (15 papers), Hormonal Regulation and Hypertension (9 papers) and Blood Pressure and Hypertension Studies (8 papers). Jun Cai collaborates with scholars based in China, United States and United Kingdom. Jun Cai's co-authors include Huimin Zhang, Xianliang Zhou, Dan Qi, Lei Song, Peng Fan, Shouling Wu, Haiying Wu, Deyu Zheng, Wenjun Ma and Kun‐Qi Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Annals of Oncology.

In The Last Decade

Jun Cai

38 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Cai China 11 174 96 63 47 42 43 356
Masatsugu Kishida Japan 11 109 0.6× 162 1.7× 155 2.5× 64 1.4× 36 0.9× 23 414
John R. Montford United States 10 136 0.8× 58 0.6× 151 2.4× 38 0.8× 25 0.6× 18 379
Subhashish Agarwal United States 10 64 0.4× 195 2.0× 70 1.1× 56 1.2× 24 0.6× 14 407
Alícia Traveset Spain 14 87 0.5× 99 1.0× 14 0.2× 21 0.4× 73 1.7× 19 498
K. van der Putten Netherlands 11 59 0.3× 92 1.0× 166 2.6× 33 0.7× 11 0.3× 17 547
Nicolas F. Schroten Netherlands 8 42 0.2× 155 1.6× 32 0.5× 53 1.1× 112 2.7× 11 375
Amir Said Alizadeh Naderi United States 10 63 0.4× 22 0.2× 112 1.8× 57 1.2× 20 0.5× 16 293
Fitsum Guebre-Egziabher France 8 53 0.3× 47 0.5× 176 2.8× 69 1.5× 21 0.5× 12 394
Bastiaan van Dam Netherlands 9 84 0.5× 118 1.2× 103 1.6× 38 0.8× 9 0.2× 12 298

Countries citing papers authored by Jun Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Cai. A scholar is included among the top collaborators of Jun 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 Jun Cai. Jun Cai 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.
Zhang, Xinran, Ye Liu, Changli Zhang, et al.. (2025). Innovative Applications of Nucleic Acid Aptamers in Colorectal Cancer Diagnosis and Therapy: From Selection Optimization to Clinical Translation. International Journal of Nanomedicine. Volume 20. 13437–13456.
2.
Li, Hu, Jun Cai, Juncai Zhang, et al.. (2025). Modification of TiO2 template with In2S3 for quasi-epitaxial growth of Sb2S3 thin film solar cells. Semiconductor Science and Technology. 40(5). 55001–55001. 1 indexed citations
3.
Song, Jingjing, et al.. (2024). Untargeted metabolomics reveals potential plasma biomarkers for diagnosis of primary aldosteronism using liquid chromatography–mass spectrometry. Biomedical Chromatography. 38(6). e5855–e5855. 3 indexed citations
4.
Bian, Jin‐Song, et al.. (2024). Clinical Features and Etiology of Recurrent Hypertension after Adrenalectomy. SHILAP Revista de lepidopterología. 9(1). 1 indexed citations
5.
6.
Cai, Jun, et al.. (2023). Top Ten Breakthroughs in Clinical Hypertension Research in 2022. SHILAP Revista de lepidopterología. 8(1). 4 indexed citations
7.
8.
Meng, Xu, Lin Zhao, Xiongjing Jiang, et al.. (2021). Mid-aortic syndrome is associated with increased left ventricular mass index in Takayasu arteritis. Annals of Translational Medicine. 9(14). 1124–1124. 1 indexed citations
9.
Bao, Minghui, Ping Li, Qifu Li, et al.. (2020). Genetic screening for monogenic hypertension in hypertensive individuals in a clinical setting. Journal of Medical Genetics. 57(8). 571–580. 9 indexed citations
10.
Diao, Xiaolin, et al.. (2020). An Application of Machine Learning to Etiological Diagnosis of Secondary Hypertension: Retrospective Study Using Electronic Medical Records. JMIR Medical Informatics. 9(1). e19739–e19739. 16 indexed citations
11.
Hu, Chaowei, Kun Zuo, Kuibao Li, et al.. (2020). p38/JNK Is Required for the Proliferation and Phenotype Changes of Vascular Smooth Muscle Cells Induced by L3MBTL4 in Essential Hypertension. International Journal of Hypertension. 2020. 1–12. 7 indexed citations
12.
Bao, Minghui, et al.. (2019). Blood Pressure Variability Is Associated with Hearing and Hearing Loss: A Population-Based Study in Males. International Journal of Hypertension. 2019. 1–9. 12 indexed citations
13.
Zhang, Huimin, et al.. (2019). REVERSIBLE HEART FAILURE AFTER AORTA DILATION IN ACTIVE TAKAYASU ARTERITIS. Journal of the American College of Cardiology. 73(9). 2157–2157.
14.
Zhang, Ying, Peng Fan, Huimin Zhang, et al.. (2019). Surgical Treatment in Patients With Aortic Regurgitation Due to Takayasu Arteritis. The Annals of Thoracic Surgery. 110(1). 165–171. 7 indexed citations
15.
Zhang, Huimin, Jun Cai, Lirui Yang, et al.. (2019). Clinical course and prognostic factors of childhood Takayasu’s arteritis: over 15-year comprehensive analysis of 101 patients. Arthritis Research & Therapy. 21(1). 31–31. 37 indexed citations
16.
Zhang, Ying, Kun‐Qi Yang, Xu Meng, et al.. (2018). Cardiac Valve Involvement in Takayasu Arteritis Is Common: A Retrospective Study of 1,069 Patients Over 25 Years. The American Journal of the Medical Sciences. 356(4). 357–364. 22 indexed citations
17.
Zhang, Ruiying, Wei Li, Lu Song, et al.. (2018). Cumulative mean arterial pressure and risks of adverse cardiac and cerebrovascular events: a prospective cohort study of 53,813 adults. Journal of Human Hypertension. 32(8-9). 585–593. 12 indexed citations
18.
Yang, Lirui, Huimin Zhang, Erpeng Liang, et al.. (2017). The presentation and management of hypertension in a large cohort of Takayasu arteritis. Clinical Rheumatology. 37(10). 2781–2788. 23 indexed citations
19.
Yang, Kun‐Qi, Xu Meng, Ying Zhang, et al.. (2017). Aortic Aneurysm in Takayasu Arteritis. The American Journal of the Medical Sciences. 354(6). 539–547. 25 indexed citations
20.
Qi, Dan, et al.. (2016). The effect of vitamin D supplementation on hypertension in non-CKD populations: A systemic review and meta-analysis. International Journal of Cardiology. 227. 177–186. 34 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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