Qinghong Zhao

2.0k total citations
54 papers, 1.5k citations indexed

About

Qinghong Zhao is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Qinghong Zhao has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 20 papers in Cancer Research and 12 papers in Surgery. Recurrent topics in Qinghong Zhao's work include Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (14 papers) and MicroRNA in disease regulation (11 papers). Qinghong Zhao is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (14 papers) and MicroRNA in disease regulation (11 papers). Qinghong Zhao collaborates with scholars based in China, South Korea and United States. Qinghong Zhao's co-authors include A. Hiltner, Meilin Wang, James Anderson, C. R. Payet, Neal S. Topham, G. A. Lodoen, Weida Gong, Haiyan Chu, Gaoxiang Ma and Zhengdong Zhang and has published in prestigious journals such as PLoS ONE, Cancer and Scientific Reports.

In The Last Decade

Qinghong Zhao

53 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinghong Zhao China 20 751 632 211 162 143 54 1.5k
Hongfeng Guo China 15 344 0.5× 272 0.4× 225 1.1× 263 1.6× 96 0.7× 29 1.2k
Hung-Wen Tsai Taiwan 23 397 0.5× 133 0.2× 184 0.9× 171 1.1× 140 1.0× 58 1.2k
Dianwen Song China 27 747 1.0× 478 0.8× 477 2.3× 189 1.2× 122 0.9× 96 2.1k
Xudong Yao China 20 565 0.8× 377 0.6× 329 1.6× 362 2.2× 64 0.4× 66 1.8k
Qiwen Li China 21 555 0.7× 187 0.3× 180 0.9× 198 1.2× 115 0.8× 89 1.5k
Ning Wen China 22 587 0.8× 216 0.3× 237 1.1× 295 1.8× 73 0.5× 74 1.6k
Majid Mossahebi‐Mohammadi Iran 17 689 0.9× 428 0.7× 229 1.1× 185 1.1× 73 0.5× 38 1.2k
Ali H. Alhasan United States 14 717 1.0× 300 0.5× 177 0.8× 253 1.6× 71 0.5× 19 1.4k
Tengfei Zhou China 26 855 1.1× 393 0.6× 224 1.1× 195 1.2× 114 0.8× 58 2.0k

Countries citing papers authored by Qinghong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Qinghong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghong Zhao. A scholar is included among the top collaborators of Qinghong 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 Qinghong Zhao. Qinghong 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.
Chen, Siyu, et al.. (2025). Dust storm detection for ground-based stations with imbalanced machine learning. Environmental Modelling & Software. 188. 106420–106420. 1 indexed citations
2.
Zhang, Yujuan, Kai Lǚ, Hanting Liu, et al.. (2022). Genetic variants in the Hedgehog signaling pathway genes are associated with gastric cancer risk in a Chinese Han population. Journal of Biomedical Research. 36(1). 22–22. 2 indexed citations
3.
Lu, Ming, et al.. (2022). Establishment and validation of a postoperative predictive model for patients with colorectal mucinous adenocarcinoma. World Journal of Surgical Oncology. 20(1). 330–330. 4 indexed citations
4.
Qu, Bing, Qinghong Zhao, Yang Tian, et al.. (2020). Overexpression of miR-144-3p alleviates polycystic ovaries syndrome through targeting expression of HSP-70. Gene Therapy. 29(5). 217–226. 9 indexed citations
5.
Ma, Gaoxiang, Hanting Liu, Mulong Du, et al.. (2019). A genetic variation in the CpG island of pseudogene GBAP1 promoter is associated with gastric cancer susceptibility. Cancer. 125(14). 2465–2473. 23 indexed citations
6.
Ma, Xiang, Ming Lü, Wenjuan Tang, et al.. (2019). microRNA‐501‐5p promotes cell proliferation and migration in gastric cancer by downregulating LPAR1. Journal of Cellular Biochemistry. 121(2). 1911–1922. 27 indexed citations
7.
Shen, Jian, Xiaogang Dong, Zhu Liu, et al.. (2018). Modularized laparoscopic regional en bloc mesogastrium excision (rEME) based on membrane anatomy for distal gastric cancer. Surgical Endoscopy. 32(11). 4698–4705. 12 indexed citations
8.
Gu, Xi, Liyang Liu, Ming Lü, et al.. (2018). Prognostic Role of MicroRNA-497 In Cancer Patients: A Meta-analysis. Journal of Cancer. 9(18). 3334–3342. 8 indexed citations
9.
Ma, Zhonghua, Shengying Gu, Min Sup Song, et al.. (2017). Long non-coding RNA SNHG17 is an unfavourable prognostic factor and promotes cell proliferation by epigenetically silencing P57 in colorectal cancer. Molecular BioSystems. 13(11). 2350–2361. 60 indexed citations
10.
Song, Peng, Weizhi Wang, Guoquan Tao, et al.. (2014). A miR-29c binding site genetic variant in the 3′-untranslated region of LAMTOR3 gene is associated with gastric cancer risk. Biomedicine & Pharmacotherapy. 69. 70–75. 9 indexed citations
11.
Song, Peng, et al.. (2014). Meta-analysis of Pylorus-Preserving Gastrectomy for Middle-Third Early Gastric Cancer. Journal of Laparoendoscopic & Advanced Surgical Techniques. 24(10). 718–727. 6 indexed citations
12.
13.
Zhang, Gang, Dongying Gu, Qinghong Zhao, et al.. (2014). Genetic variation in C12orf51 is associated with prognosis of intestinal-type gastric cancer in a Chinese population. Biomedicine & Pharmacotherapy. 69. 133–138. 7 indexed citations
14.
Williams, Shehan, Jeffrey F. Peipert, Christina Buckel, et al.. (2014). Contraception and the risk of ectopic pregnancy. Contraception. 90(3). 326–326. 1 indexed citations
15.
Xu, Ming, Guoquan Tao, Meiyun Kang, et al.. (2013). A Polymorphism (rs2295080) in mTOR Promoter Region and Its Association with Gastric Cancer in a Chinese Population. PLoS ONE. 8(3). e60080–e60080. 31 indexed citations
16.
Chu, Haiyan, Qinghong Zhao, Shizhi Wang, et al.. (2013). Tagging SNPs in the ERCC4 gene are associated with gastric cancer risk. Gene. 521(1). 50–54. 4 indexed citations
17.
Qiao, Shanlou, Keiko Murakami, Qinghong Zhao, et al.. (2011). Mimosine-Induced Apoptosis in C6 Glioma Cells Requires the Release of Mitochondria-Derived Reactive Oxygen Species and p38, JNK Activation. Neurochemical Research. 37(2). 417–427. 13 indexed citations
18.
Zhao, Qinghong. (2010). Compound matrine injection combined with FOLFIRI chemotherapy in the treatment of 50 patients with advanced colorectal cancer. Zhongguo xin yao zazhi. 3 indexed citations
19.
Zhao, Qinghong, et al.. (1995). Glass Wool–H2O2/CoCl2 test system for in vitro evaluation of biodegradative stress cracking in polyurethane elastomers. Journal of Biomedical Materials Research. 29(4). 467–475. 55 indexed citations
20.
Zhao, Qinghong, et al.. (1990). Cellular interactions with biomaterials: In vivo cracking of pre‐stressed pellethane 2363‐80A. Journal of Biomedical Materials Research. 24(5). 621–637. 118 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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