Ju Cao

3.4k total citations · 1 hit paper
102 papers, 2.6k citations indexed

About

Ju Cao is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Ju Cao has authored 102 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Epidemiology, 42 papers in Immunology and 20 papers in Infectious Diseases. Recurrent topics in Ju Cao's work include Immune Response and Inflammation (27 papers), Pneumonia and Respiratory Infections (19 papers) and Sepsis Diagnosis and Treatment (12 papers). Ju Cao is often cited by papers focused on Immune Response and Inflammation (27 papers), Pneumonia and Respiratory Infections (19 papers) and Sepsis Diagnosis and Treatment (12 papers). Ju Cao collaborates with scholars based in China, United States and Hong Kong. Ju Cao's co-authors include Fang Xu, Yibing Yin, Liping Zhang, Xuemei Zhang, Yibing Yin, Shifeng Huang, Yu Xiang, Xingxing Yan, Shihui Lin and Zhixin Song and has published in prestigious journals such as Nature Immunology, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Ju Cao

95 papers receiving 2.5k citations

Hit Papers

Sepsis-induced immunosuppression: mechanisms, diagnosis a... 2022 2026 2023 2024 2022 100 200 300
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. Sepsis-induced immunosuppression: mechanisms, diagnosis and current treatment options
    2022 380 citations Ju Cao, Fang Xu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Cao China 31 1.0k 870 729 288 260 102 2.6k
Hortense Slevogt Germany 28 975 1.0× 748 0.9× 964 1.3× 524 1.8× 121 0.5× 110 2.7k
Lee J. Quinton United States 31 1.8k 1.8× 684 0.8× 880 1.2× 333 1.2× 376 1.4× 62 3.3k
Dorothee Viemann Germany 31 1.4k 1.4× 684 0.8× 1.4k 1.9× 426 1.5× 242 0.9× 68 3.0k
Nancy C. Arbour United States 13 1.6k 1.5× 735 0.8× 513 0.7× 210 0.7× 249 1.0× 14 2.7k
Timur O. Yarovinsky United States 26 842 0.8× 541 0.6× 733 1.0× 310 1.1× 229 0.9× 59 2.3k
Fernando Pons Spain 15 895 0.9× 738 0.8× 461 0.6× 201 0.7× 183 0.7× 27 2.3k
Samithamby Jeyaseelan United States 35 1.8k 1.7× 669 0.8× 1.1k 1.5× 248 0.9× 232 0.9× 61 3.4k
Jesús G. Vallejo United States 31 841 0.8× 726 0.8× 609 0.8× 523 1.8× 180 0.7× 95 2.7k
Shinichiro Kurosawa United States 32 1.0k 1.0× 954 1.1× 826 1.1× 372 1.3× 282 1.1× 52 4.5k
Shahla Abdollahi‐Roodsaz Netherlands 30 1.9k 1.8× 385 0.4× 1.4k 1.9× 405 1.4× 337 1.3× 50 3.6k

Countries citing papers authored by Ju Cao

Since Specialization
Citations

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

Fields of papers citing papers by Ju Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Cao. A scholar is included among the top collaborators of Ju 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 Ju Cao. Ju 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
1.
Shang, Qian, et al.. (2025). A unified traffic flow prediction model considering node differences, spatio-temporal features, and local-global dynamics. Physica A Statistical Mechanics and its Applications. 667. 130554–130554. 1 indexed citations
2.
Cao, Ju, et al.. (2025). IL-38 as a Novel Biomarker in Multiple Myeloma Patients: A Prospective Clinical Evaluation. Cancer Management and Research. Volume 17. 955–964.
3.
Chen, Yanqing, Ke Xie, Ming Lei, et al.. (2024). Progranulin promotes regulatory T cells plasticity by mitochondrial metabolism through AMPK/PGC-1α pathway in ARDS. Clinical Immunology. 261. 109940–109940. 3 indexed citations
4.
5.
Liu, Jiayu, et al.. (2024). Elevated serum level of progranulin is associated with increased mortality in critically ill patients with candidemia. Microbes and Infection. 26(4). 105302–105302.
6.
Liu, Jiayu, et al.. (2023). Absence of toll-like receptor 7 ameliorates survival and reduces intestinal injury in mice after Clostridium difficile infection. Microbes and Infection. 25(8). 105210–105210. 2 indexed citations
7.
Liu, Yi, et al.. (2022). CXCL14 Protects Against Polymicrobial Sepsis by Enhancing Antibacterial Functions of Macrophages. American Journal of Respiratory Cell and Molecular Biology. 67(5). 589–601. 13 indexed citations
8.
9.
Zhang, Jianbo, et al.. (2021). Interleukin-37 as a biomarker of mortality risk in patients with sepsis. Journal of Infection. 82(3). 346–354. 21 indexed citations
10.
Gong, Yi, Jiaxi Li, Lili Huang, Yi Liu, & Ju Cao. (2021). Prognostic and pathogenic role of CXC motif ligand 16 in sepsis. Microbes and Infection. 24(1). 104882–104882. 5 indexed citations
11.
Liu, Shuang, et al.. (2020). IL-27 Negatively Controls Antifungal Activity in a Model of Invasive Pulmonary Aspergillosis. American Journal of Respiratory Cell and Molecular Biology. 62(6). 760–766. 8 indexed citations
12.
Zhou, Jie, Xiaoyu Sun, Juan Zhang, et al.. (2018). IL-34 regulates IL-6 and IL-8 production in human lung fibroblasts via MAPK, PI3K-Akt, JAK and NF-κB signaling pathways. International Immunopharmacology. 61. 119–125. 39 indexed citations
13.
Gao, Xun, Xingxing Yan, Yibing Yin, et al.. (2018). Therapeutic Targeting of Apoptosis Inhibitor of Macrophage/CD5L in Sepsis. American Journal of Respiratory Cell and Molecular Biology. 60(3). 323–334. 25 indexed citations
14.
Song, Zhixin, Xuemei Zhang, Liping Zhang, et al.. (2016). Progranulin Plays a Central Role in Host Defense during Sepsis by Promoting Macrophage Recruitment. American Journal of Respiratory and Critical Care Medicine. 194(10). 1219–1232. 49 indexed citations
15.
Song, Zhixin, Chuanjiang Wang, Qin Luo, et al.. (2016). Interleukin-36α attenuates sepsis by enhancing antibacterial functions of macrophages. The Journal of Infectious Diseases. 215(2). jiw535–jiw535. 21 indexed citations
16.
Cao, Ju. (2013). Plasma level of brain-derived neurotrophic factor and the related analysis in depressive patients with sui cide attempt. 1 indexed citations
17.
Dong, Shan‐Shan, Xuemei Zhang, Yujuan He, et al.. (2013). Synergy of IL-27 and TNF-α in Regulating CXCL10 Expression in Lung Fibroblasts. American Journal of Respiratory Cell and Molecular Biology. 48(4). 518–530. 40 indexed citations
18.
Min, Su, Ke Wei, Jing Luo, et al.. (2013). Pharmacodynamic changes with vecuronium in sepsis are associated with expression of α7- and γ-nicotinic acetylcholine receptor in an experimental rat model of neuromyopathy. British Journal of Anaesthesia. 112(1). 159–168. 19 indexed citations
19.
Zhang, Yan, et al.. (2010). Silencing of the annexin II gene down-regulates the levels of S100A10, c-Myc, and plasmin and inhibits breast cancer cell proliferation and invasion.. PubMed. 31(4). 374–81. 34 indexed citations
20.

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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