Hourong Cai

898 total citations
25 papers, 632 citations indexed

About

Hourong Cai is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Hourong Cai has authored 25 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Hourong Cai's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Inflammatory Myopathies and Dermatomyositis (9 papers) and Eosinophilic Disorders and Syndromes (4 papers). Hourong Cai is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Inflammatory Myopathies and Dermatomyositis (9 papers) and Eosinophilic Disorders and Syndromes (4 papers). Hourong Cai collaborates with scholars based in China, United States and Singapore. Hourong Cai's co-authors include Zhiyong Chen, Mengshu Cao, Lingyun Sun, Masataka Kuwana, Nieves Plana, Jun Liang, Liyun Miao, Xianhua Gui, Yong Song and Luo Gu and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Respiratory and Critical Care Medicine and Biochemical and Biophysical Research Communications.

In The Last Decade

Hourong Cai

24 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hourong Cai China 14 297 221 218 182 104 25 632
Lingyun Sun China 8 245 0.8× 110 0.5× 180 0.8× 171 0.9× 55 0.5× 19 499
B. Dasgupta United States 14 123 0.4× 123 0.6× 97 0.4× 131 0.7× 98 0.9× 36 635
Kurisu Tada Japan 12 166 0.6× 83 0.4× 283 1.3× 231 1.3× 106 1.0× 47 868
Shio Kobayashi Japan 13 447 1.5× 160 0.7× 394 1.8× 144 0.8× 129 1.2× 16 949
Daiju Iwata Japan 16 87 0.3× 103 0.5× 152 0.7× 175 1.0× 67 0.6× 54 986
Judith Stammen‐Vogelzangs Netherlands 10 282 0.9× 31 0.1× 343 1.6× 202 1.1× 43 0.4× 10 666
Xiangkun Huang China 14 149 0.5× 98 0.4× 416 1.9× 182 1.0× 59 0.6× 24 1.1k
Séverine Valmary France 11 123 0.4× 80 0.4× 66 0.3× 102 0.6× 197 1.9× 15 506
Pasquale Somma Italy 13 60 0.2× 93 0.4× 82 0.4× 182 1.0× 84 0.8× 31 458
Alsya J. Affandi Netherlands 16 81 0.3× 123 0.6× 79 0.4× 201 1.1× 104 1.0× 30 743

Countries citing papers authored by Hourong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Hourong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hourong Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Hourong Cai. A scholar is included among the top collaborators of Hourong 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 Hourong Cai. Hourong 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.
Gui, Xianhua, Wang‐Zhong Li, Tingting Zhao, et al.. (2024). Pretreatment mortality risk prediction model in patients with polymyositis/dermatomyositis-associated interstitial lung disease. RMD Open. 10(2). e003850–e003850. 1 indexed citations
2.
Li, Yan, Xiaoqin Liu, Mi Tian, et al.. (2023). Soluble CD206 levels correlate with disease deterioration and predict prognosis of anti‐MDA5 antibody‐positive dermatomyositis related interstitial lung disease. The Clinical Respiratory Journal. 17(6). 507–515. 10 indexed citations
3.
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Liu, Xiaoqin, et al.. (2021). Albumin‐to‐alkaline phosphatase ratio: A novel prognostic index for patients with driver mutation‐negative advanced non‐small cell lung cancer. The Clinical Respiratory Journal. 15(5). 540–549. 5 indexed citations
6.
Liu, Yin, Xiaoqing Liu, Zhiyong Chen, et al.. (2020). Clinical characteristics of patients with anti-EJ antisynthetase syndrome associated interstitial lung disease and literature review. Respiratory Medicine. 165. 105920–105920. 15 indexed citations
7.
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Gui, Xianhua, Miao Ma, Jingjing Ding, et al.. (2020). Cytokeratin 19 fragment is associated with severity and poor prognosis of interstitial lung disease in anti-MDA5 antibody-positive dermatomyositis. Lara D. Veeken. 60(8). 3913–3922. 18 indexed citations
9.
Xu, Ling, Dandan Yu, Yuhua Ma, et al.. (2020). COVID-19-like symptoms observed in Chinese tree shrews infected with SARS-CoV-2. 动物学研究. 41(5). 517–526. 44 indexed citations
10.
Gao, Yujuan, Qi Zhao, Xin Yan, et al.. (2020). Prognostic evaluation of serum osteopontin in patients with anti-MDA5 antibody-positive dermatomyositis associated interstitial lung disease. Cytokine. 135. 155209–155209. 11 indexed citations
11.
Gao, Yujuan, Miao Ma, Yi Zhuang, et al.. (2019). SPOCK1 contributes to the third‐generation EGFR tyrosine kinase inhibitors resistance in lung cancer. Journal of Cellular Biochemistry. 120(8). 12566–12573. 17 indexed citations
12.
Zou, Ruyi, Yan Li, Xiaoqin Liu, et al.. (2019). [Clinical value of myositis antibodies in patients with connective tissue disease-associated interstitial lung diseases].. PubMed. 42(10). 765–770. 1 indexed citations
13.
Gui, Xianhua, Hongwei Chen, Hourong Cai, Lingyun Sun, & Luo Gu. (2018). Leptin promotes pulmonary fibrosis development by inhibiting autophagy via PI3K/Akt/mTOR pathway. Biochemical and Biophysical Research Communications. 498(3). 660–666. 62 indexed citations
14.
Li, Yan, et al.. (2017). Isolated Peripheral Pulmonary Artery Hypoplasia in Adulthood Presented with Occasional Hemoptysis. American Journal of Respiratory and Critical Care Medicine. 196(9). e52–e53. 1 indexed citations
15.
Ding, Jingjing, Jinghong Dai, Hourong Cai, Qian Gao, & Yanting Wen. (2017). Extensively disturbance of regulatory T cells - Th17 cells balance in stage II pulmonary sarcoidosis. International Journal of Medical Sciences. 14(11). 1136–1142. 16 indexed citations
16.
Chen, Ruhua, et al.. (2015). Overexpression of MAC30 is Resistant to Platinum-Based Chemotherapy in Patients With Non-Small Cell Lung Cancer. Technology in Cancer Research & Treatment. 15(6). 815–820. 7 indexed citations
17.
Li, Yan, Liyun Miao, Yonglong Xiao, Hourong Cai, & Deping Zhang. (2014). Elevated Platelets Enhance Cancer Cell Migration, Promote Hematogenous Metastasis and Associate with a Poor Prognosis in Advanced Non-small Cell Lung Cancer Cases. Asian Pacific Journal of Cancer Prevention. 15(1). 139–143. 16 indexed citations
18.
Miao, Liyun, Yongsheng Wang, Suhua Zhu, et al.. (2014). Identification of novel driver mutations of the discoidin domain receptor 2 (DDR2) gene in squamous cell lung cancer of Chinese patients. BMC Cancer. 14(1). 369–369. 33 indexed citations
19.
Miao, Liyun, Yongsheng Wang, Hongping Xia, et al.. (2013). SPOCK1 is a novel transforming growth factor-β target gene that regulates lung cancer cell epithelial-mesenchymal transition. Biochemical and Biophysical Research Communications. 440(4). 792–797. 62 indexed citations
20.
Li, Yan, Liyun Miao, Hourong Cai, et al.. (2013). The overexpression of glypican-5 promotes cancer cell migration and is associated with shorter overall survival in non-small cell lung cancer. Oncology Letters. 6(6). 1565–1572. 22 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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