Haijun Guo

890 total citations
34 papers, 657 citations indexed

About

Haijun Guo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Haijun Guo has authored 34 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Haijun Guo's work include MicroRNA in disease regulation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and RNA modifications and cancer (4 papers). Haijun Guo is often cited by papers focused on MicroRNA in disease regulation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and RNA modifications and cancer (4 papers). Haijun Guo collaborates with scholars based in China, Madagascar and Thailand. Haijun Guo's co-authors include Zhengqiu Li, Haiyang Xie, Shusen Zheng, Xiao Xu, Lin Zhou, Songming Ding, Kangjie Chen, Shusen Zheng, Zhikun Liu and Xuyong Wei and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and Chemical Communications.

In The Last Decade

Haijun Guo

31 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haijun Guo China 15 401 255 121 100 95 34 657
Jibing Liu China 15 504 1.3× 475 1.9× 112 0.9× 122 1.2× 101 1.1× 31 889
Marion Ganslmayer Germany 14 433 1.1× 61 0.2× 153 1.3× 115 1.1× 95 1.0× 37 802
Motawa E. El-Houseini Egypt 13 564 1.4× 173 0.7× 402 3.3× 94 0.9× 49 0.5× 30 912
Annette Hayden United Kingdom 10 384 1.0× 103 0.4× 239 2.0× 36 0.4× 98 1.0× 17 724
Maitane Asensio Spain 13 294 0.7× 127 0.5× 253 2.1× 90 0.9× 163 1.7× 18 605
Xiangyong Hao China 15 719 1.8× 547 2.1× 139 1.1× 87 0.9× 147 1.5× 35 1.0k
Zhenzhen Yao China 10 378 0.9× 145 0.6× 150 1.2× 108 1.1× 223 2.3× 17 802
Michail Nikolaou Greece 13 360 0.9× 198 0.8× 318 2.6× 43 0.4× 61 0.6× 41 871
Liwei Chen United States 15 429 1.1× 121 0.5× 239 2.0× 32 0.3× 43 0.5× 38 730

Countries citing papers authored by Haijun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Guo. A scholar is included among the top collaborators of Haijun Guo 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 Haijun Guo. Haijun Guo 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.
Guo, Haijun, Wei Zheng, Rui Chen, et al.. (2025). Exosomes: innovative biomarkers leading the charge in non-invasive cancer diagnostics. Theranostics. 15(11). 5277–5311. 9 indexed citations
2.
Hu, Haitao, Yujie Zhou, Hui Zhang, et al.. (2025). One-step engineered mesenchymal stem cell-derived exosomes against hepatic ischemia–reperfusion injury. International Journal of Pharmaceutics. 672. 125292–125292. 3 indexed citations
3.
Deng, Na, Haijun Guo, Yingying Wei, et al.. (2025). Pannexin1 via P2rx7/amphiregulin contributes to cardiac fibrosis post myocardial infarction. Journal of Molecular Histology. 56(4). 230–230.
4.
Xu, Fangping, Xinxin Fan, Haijun Guo, et al.. (2025). HNRNPA2B1: a novel target in pulmonary arterial hypertension. Frontiers in Cardiovascular Medicine. 12. 1497938–1497938.
5.
Guo, Haijun, Lijun Meng, Xuanyu Zhang, et al.. (2024). Oncogenic cholesterol rewires lipid metabolism in hepatocellular carcinoma via the CSNK2A1-IGF2R Ser2484 axis. Journal of Advanced Research. 76. 449–465. 4 indexed citations
6.
Zhang, Hui, Jianguo Wang, Xiaonan Xiang, et al.. (2024). An Esterase-Responsive SLC7A11 shRNA Delivery System Induced Ferroptosis and Suppressed Hepatocellular Carcinoma Progression. Pharmaceutics. 16(2). 249–249. 5 indexed citations
7.
Yu, Yongfeng, Dingzhi Huang, Hongming Pan, et al.. (2024). An open-label, multicenter, phase Ib/II study of the ATR inhibitor SC0245 in combination with irinotecan in patients with relapsed and refractory extensive stage small cell lung cancer (ES-SCLC).. Journal of Clinical Oncology. 42(16_suppl). 8102–8102. 1 indexed citations
8.
Wang, Kai, Xinyang Zhong, Shengjun Xu, et al.. (2024). Development and Validation of a Novel Nomogram Integrated with Hypoxic and Lactate Metabolic Characteristics for Prognosis Prediction in Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. Volume 11. 241–255. 2 indexed citations
9.
Wei, Bo, Na Deng, Haijun Guo, et al.. (2023). Trimethylamine N-oxide promotes abdominal aortic aneurysm by inducing vascular inflammation and vascular smooth muscle cell phenotypic switching. European Journal of Pharmacology. 965. 176307–176307. 2 indexed citations
10.
Si, Xiaoyun, Hao Zheng, Guoquan Wei, et al.. (2020). circRNA Hipk3 Induces Cardiac Regeneration after Myocardial Infarction in Mice by Binding to Notch1 and miR-133a. Molecular Therapy — Nucleic Acids. 21. 636–655. 111 indexed citations
11.
12.
Zhu, Dongsheng, et al.. (2019). Crenolanib‐Derived Probes Suitable for Cell‐ and Tissue‐Based Protein Profiling and Single‐Cell Imaging. ChemBioChem. 20(14). 1783–1788. 7 indexed citations
13.
14.
Shi, Shaohua, Weiliang Xia, Haijun Guo, Haishen Kong, & Shusen Zheng. (2016). Unique characteristics of pyogenic liver abscesses of biliary origin. Surgery. 159(5). 1316–1324. 17 indexed citations
15.
Xu, Xiao, Zhikun Liu, Jianguo Wang, et al.. (2016). miRNA profiles in livers with different mass deficits after partial hepatectomy and miR-106b~25 cluster accelerating hepatocyte proliferation in rats. Scientific Reports. 6(1). 31267–31267. 14 indexed citations
16.
Xu, Xiao, Zhikun Liu, Lin Zhou, et al.. (2015). Characterization of genome-wide TFCP2 targets in hepatocellular carcinoma: implication of targets FN1 and TJP1 in metastasis. Journal of Experimental & Clinical Cancer Research. 34(1). 6–6. 26 indexed citations
17.
Ding, Songming, Guoliang Chen, Wu Zhang, et al.. (2015). MRC-5 fibroblast-conditioned medium influences multiple pathways regulating invasion, migration, proliferation, and apoptosis in hepatocellular carcinoma. Journal of Translational Medicine. 13(1). 237–237. 27 indexed citations
18.
Xu, Xiao, Haijun Guo, Haiyang Xie, et al.. (2014). ZIP4, a Novel Determinant of Tumor Invasion in Hepatocellular Carcinoma, Contributes to Tumor Recurrence after Liver Transplantation. International Journal of Biological Sciences. 10(3). 245–256. 39 indexed citations
19.
Ding, Songming, Wu Zhang, Zhiyuan Xu, et al.. (2013). Induction of an EMT-like transformation and MET in vitro. Journal of Translational Medicine. 11(1). 164–164. 18 indexed citations
20.
Zhang, Wu, Liming Chen, Fei Chen, et al.. (2013). MicroRNA-503 inhibits the G1/S transition by downregulating cyclin D3 and E2F3 in hepatocellular carcinoma. Journal of Translational Medicine. 11(1). 195–195. 70 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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