Qinghua Cao

2.0k total citations
71 papers, 1.2k citations indexed

About

Qinghua Cao is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qinghua Cao has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 20 papers in Molecular Biology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qinghua Cao's work include Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). Qinghua Cao is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). Qinghua Cao collaborates with scholars based in China, United States and Belarus. Qinghua Cao's co-authors include Ni Liu, Fang Liu, Yuan He, Liantang Wang, Ziyin Ye, Wenhui Zhang, Fang Liu, Kaiyuan Ji, Shunli Shen and Yunpeng Hua and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Qinghua Cao

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinghua Cao China 19 444 268 232 211 198 71 1.2k
Wei‐Zen Sun China 22 327 0.7× 353 1.3× 178 0.8× 265 1.3× 165 0.8× 98 1.3k
Weixun Zhou China 20 571 1.3× 596 2.2× 337 1.5× 359 1.7× 255 1.3× 143 1.8k
Iris Tischoff Germany 16 422 1.0× 403 1.5× 155 0.7× 159 0.8× 193 1.0× 54 1.1k
Yao Yu United States 22 605 1.4× 393 1.5× 460 2.0× 352 1.7× 183 0.9× 138 1.8k
Hans Kreipe Germany 16 323 0.7× 330 1.2× 246 1.1× 153 0.7× 94 0.5× 67 1.0k
Kirsten Utpatel Germany 19 271 0.6× 180 0.7× 144 0.6× 214 1.0× 198 1.0× 65 961
Ioannis Diamantis Switzerland 20 374 0.8× 240 0.9× 147 0.6× 245 1.2× 396 2.0× 48 1.2k
Chieh‐Yu Lin United States 22 560 1.3× 310 1.2× 169 0.7× 210 1.0× 281 1.4× 70 1.3k
Roman Rieger Austria 14 470 1.1× 322 1.2× 333 1.4× 536 2.5× 367 1.9× 22 1.7k
Wanming Hu China 17 215 0.5× 417 1.6× 158 0.7× 129 0.6× 102 0.5× 78 944

Countries citing papers authored by Qinghua Cao

Since Specialization
Citations

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

Fields of papers citing papers by Qinghua Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghua Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghua Cao. A scholar is included among the top collaborators of Qinghua 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 Qinghua Cao. Qinghua 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.
Yang, Xiao‐Qing, Hualin Wu, Zimin Zhang, et al.. (2025). Omnidirectional Multi‐Type Defect Passivation Enables Efficient and Stable Perovskite Solar Cells via Dual Organic Potassium Salts. Small. 21(51). e11139–e11139.
2.
Cao, Qinghua, Hui Liu, Jun‐Jie Xing, et al.. (2025). Optimal Methylammounium Chloride Additive for High-Performance Perovskite Solar Cells. Nanomaterials. 15(4). 292–292.
3.
Li, Shuqi, et al.. (2024). High expression of SRSF1 facilitates osteosarcoma progression and unveils its potential mechanisms. BMC Cancer. 24(1). 580–580. 5 indexed citations
4.
Zheng, Shuang, et al.. (2024). Machine Learning–Based Pathomics Model Predicts Angiopoietin-2 Expression and Prognosis in Hepatocellular Carcinoma. American Journal Of Pathology. 195(3). 561–574. 1 indexed citations
5.
Cao, Qinghua, Lei Gu, Liangzhu Wang, et al.. (2024). Resveratrol alleviates endoplasmic reticulum stress-induced cell death and improves functional prognosis after traumatic brain injury in mice. Journal of Applied Biomedicine. 22(2). 99–106. 4 indexed citations
6.
Cao, Qinghua, et al.. (2023). Mixed squamous cell and glandular papilloma of the bronchus. Pulmonology. 30(1). 96–97. 1 indexed citations
7.
Tao, Chengcheng, Xiang Xiao, Renfei Wu, et al.. (2023). Hypoxia-targeted and spatial-selective tumor suppression by near infrared nanoantenna sensitized engineered bacteria. Acta Biomaterialia. 170. 442–452. 16 indexed citations
8.
Cao, Qinghua, et al.. (2023). Clinicopathological significance of  Obg-like ATPase 1 and its association with Snail in gastric cancer. Polish Journal of Pathology. 74(1). 42–50.
9.
Cheng, Na, Yong Ren, Jing Zhou, et al.. (2022). Deep Learning-Based Classification of Hepatocellular Nodular Lesions on Whole-Slide Histopathologic Images. Gastroenterology. 162(7). 1948–1961.e7. 68 indexed citations
10.
Liu, Mengnan, Chun‐Yu Lin, Fang Liu, & Qinghua Cao. (2022). Clinicopathological significance and prognostic value of polypyrimidine tract binding protein 1 (PTBP1) in gastric cancer. Translational Cancer Research. 11(8). 2660–2670. 2 indexed citations
11.
Chen, Huadong, Luyao Zhou, Bing Liao, et al.. (2021). Two-Dimensional Shear Wave Elastography Predicts Liver Fibrosis in Jaundiced Infants with Suspected Biliary Atresia: A Prospective Study. Korean Journal of Radiology. 22(6). 959–959. 24 indexed citations
12.
Li, Qiao, Lingyu Han, Shengnan Ruan, et al.. (2020). The prognostic value of neuromedin U in patients with hepatocellular carcinoma. BMC Cancer. 20(1). 11 indexed citations
13.
Li, Qiao, Lei Ma, Shunli Shen, et al.. (2019). Intestinal dysbacteriosis-induced IL-25 promotes development of HCC via alternative activation of macrophages in tumor microenvironment. Journal of Experimental & Clinical Cancer Research. 38(1). 303–303. 80 indexed citations
14.
Cao, Qinghua, Fang Liu, Ni Liu, et al.. (2018). Testes-specific protease 50 (TSP50) promotes invasion and metastasis by inducing EMT in gastric cancer. BMC Cancer. 18(1). 94–94. 24 indexed citations
15.
Liu, Fang, et al.. (2016). TBL1XR1 Is Highly Expressed in Gastric Cancer and Predicts Poor Prognosis. Disease Markers. 2016. 1–7. 23 indexed citations
16.
Wu, Xiaoqin, Zhirong Zeng, Lixia Xu, et al.. (2014). Increased expression of IL17A in human gastric cancer and its potential roles in gastric carcinogenesis. Tumor Biology. 35(6). 5347–5356. 18 indexed citations
17.
Ye, Ziyin, Qinghua Cao, Gang Niu, et al.. (2013). p63 And p53 expression in extranodal NK/T cell lymphoma, nasal type. Journal of Clinical Pathology. 66(8). 676–680. 14 indexed citations
18.
Cao, Qinghua & Fang Liu. (2011). Transformation of myelodysplastic syndrome to acute myeloid leukemia: A case with whole-body 2-[F18] fluoro-2-deoxy-d-glucose positron emission tomography. Indian Journal of Nuclear Medicine. 26(2). 104–104. 1 indexed citations
19.
Ye, Ziyin, et al.. (2011). Interdigitating dendritic cell sarcoma of lymph node mimicking granuloma: a case report and review of the literature.. PubMed. 62(4). 274–7. 8 indexed citations
20.
Lai, Bingquan, et al.. (2011). Activation of caspase-3 and c-Jun NH2-terminal kinase signaling pathways involving heroin-induced neuronal apoptosis. Neuroscience Letters. 502(3). 209–213. 20 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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