Chang Zhao

899 total citations
36 papers, 554 citations indexed

About

Chang Zhao is a scholar working on Molecular Biology, Hepatology and Surgery. According to data from OpenAlex, Chang Zhao has authored 36 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Hepatology and 9 papers in Surgery. Recurrent topics in Chang Zhao's work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), RNA modifications and cancer (9 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). Chang Zhao is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (12 papers), RNA modifications and cancer (9 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). Chang Zhao collaborates with scholars based in China, Switzerland and Australia. Chang Zhao's co-authors include Qi Feng, Ping Kang, Ziqi Meng, Junjian Li, Zhengping Yu, Qiandong Zhu, Qingqing Zhou, Yilong Ma, Qiang Peng and Ya‐Hui Huang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Chang Zhao

35 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Zhao China 13 227 199 196 135 94 36 554
Matthias Van Haele Belgium 12 241 1.1× 115 0.6× 100 0.5× 78 0.6× 106 1.1× 15 460
Masumi Yoshie Japan 8 191 0.8× 94 0.5× 108 0.6× 51 0.4× 135 1.4× 15 392
Jamie Sheren United States 8 313 1.4× 79 0.4× 143 0.7× 27 0.2× 164 1.7× 9 599
Timothy Wai Ho Shuen Singapore 12 350 1.5× 31 0.2× 201 1.0× 53 0.4× 135 1.4× 22 563
Shusil K. Pandit Netherlands 7 359 1.6× 58 0.3× 86 0.4× 48 0.4× 186 2.0× 9 546
Anja Hohmeyer Germany 3 234 1.0× 55 0.3× 79 0.4× 57 0.4× 122 1.3× 3 390
Carlotta Raschioni Italy 9 284 1.3× 48 0.2× 158 0.8× 32 0.2× 201 2.1× 11 566
Luai Zarour United States 6 128 0.6× 65 0.3× 85 0.4× 16 0.1× 153 1.6× 9 353
Stine Friis Denmark 14 209 0.9× 58 0.3× 131 0.7× 17 0.1× 85 0.9× 20 511
Jaromir Knesel United States 10 296 1.3× 191 1.0× 54 0.3× 29 0.2× 113 1.2× 10 488

Countries citing papers authored by Chang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Chang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Zhao. A scholar is included among the top collaborators of Chang Zhao 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 Chang Zhao. Chang Zhao 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.
Han, Songyan, Yanrong Guo, Xinwei Luo, et al.. (2022). Clinical value of alveolar lavage supernatant specimens in the detection of the EGFR gene mutation in patients with non-small cell lung carcinoma. Translational Cancer Research. 11(5). 1188–1194. 2 indexed citations
2.
Chen, Junjun, et al.. (2022). Epidermal growth factor activates a hypoxia‐inducible factor 1α–microRNA‐21 axis to inhibit aquaporin 4 in chronic rhinosinusitis. Annals of the New York Academy of Sciences. 1518(1). 299–314. 3 indexed citations
3.
Li, Yuan, et al.. (2022). Efficacy of EGFR-TKI sequential therapy in patients with EGFR exon 19 insertion-positive non-small-cell lung cancer: A case report. World Journal of Clinical Cases. 10(6). 1883–1888. 3 indexed citations
4.
Wang, Xiaobo, Tao Luo, Zhijun Jiang, et al.. (2022). Circular RNA hsa_circ_0005218 Promotes the Early Recurrence of Hepatocellular Carcinoma by Targeting the miR-31-5p/CDK1 Pathway. SSRN Electronic Journal. 2 indexed citations
5.
Zhao, Chang, Yuanhua Lu, Jialin Li, et al.. (2022). Noxa and Puma genes regulated by hTERT promoter can mitigate growth and induce apoptosis in hepatocellular carcinoma mouse model. Journal of Cancer. 13(6). 2001–2013. 6 indexed citations
6.
Han, Songyan, Jing Wang, Yanrong Guo, et al.. (2021). Identifying Genomic Alterations in Small Cell Lung Cancer Using the Liquid Biopsy of Bronchial Washing Fluid. Frontiers in Oncology. 11. 647216–647216. 6 indexed citations
7.
Xu, Yansong, Gang Liu, Chang Zhao, et al.. (2021). Prognostic Value of Combined Preoperative Carcinoembryonic Antigen and Prognostic Nutritional Index in Patients With Stage II–III Colon Cancer. Frontiers in Surgery. 8. 667154–667154. 9 indexed citations
8.
Zhao, Chang, et al.. (2021). Predictive olfactory learning in Drosophila. Scientific Reports. 11(1). 6795–6795. 23 indexed citations
9.
Chen, Zuyi, et al.. (2020). SLC16A1-AS1 enhances radiosensitivity and represses cell proliferation and invasion by regulating the miR-301b-3p/CHD5 axis in hepatocellular carcinoma. Environmental Science and Pollution Research. 27(34). 42778–42790. 21 indexed citations
10.
Chen, Changyong, Yuanhui Yao, Zishu Zhang, et al.. (2020). Comprehensive predictive factors for CalliSpheres® microspheres (CSM) drug-eluting bead-transarterial chemoembolization and conventional transarterial chemoembolization on treatment response and survival in hepatocellular carcinoma patients. Clinics and Research in Hepatology and Gastroenterology. 45(2). 101460–101460. 10 indexed citations
11.
Xiang, Hua, Bin Xiong, Haiping Li, et al.. (2019). Comparison of liver function and safety in hepatocellular cancer patients treated with DEB-TACE and cTACE: a multi-center, retrospective cohort study. Translational Cancer Research. 8(5). 1950–1964. 4 indexed citations
12.
Yang, Jingpu, et al.. (2019). CCT α is a novel biomarker for diagnosis of laryngeal squamous cell cancer. Scientific Reports. 9(1). 11823–11823. 5 indexed citations
13.
14.
Xiang, Hua, Bin Xiong, Haiping Li, et al.. (2019). Comparison of liver function and safety in hepatocellular cancer patients treated with DEB-TACE and cTACE: a multi-center, retrospective cohort study. Translational Cancer Research. 8(5). 1950–1964. 7 indexed citations
15.
Huang, Fengxiang, Hongjie Chen, Qiang Peng, et al.. (2018). LncRNA BLACAT1 is involved in chemoresistance of non‑small cell lung cancer cells by regulating autophagy. International Journal of Oncology. 54(1). 339–347. 73 indexed citations
16.
Zhao, Chang, Qi Feng, Lei Yu, et al.. (2016). Raltitrexed plus oxaliplatin-based transarterial chemoembolization in patients with unresectable hepatocellular carcinoma. Anti-Cancer Drugs. 27(7). 689–694. 21 indexed citations
17.
Zhao, Chang, et al.. (2014). Co-expression analysis of differentially expressed genes in hepatitis C virus-induced hepatocellular carcinoma. Molecular Medicine Reports. 11(1). 21–28. 3 indexed citations
18.
Zhao, Chang, et al.. (2014). Lobaplatin Combined Floxuridine/Pirarubicin-based Transcatheter Hepatic Arterial Chemoembolization for Unresectable Primary Hepatocellular Carcinoma. Asian Pacific Journal of Cancer Prevention. 15(5). 2057–2060. 7 indexed citations
19.
Ma, Fuchao, Hongxing Zhang, Yun Zhai, et al.. (2011). Functional Polymorphism -31C/G in the Promoter of BIRC5 Gene and Risk of Nasopharyngeal Carcinoma among Chinese. PLoS ONE. 6(2). e16748–e16748. 35 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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