Haijun Wu

534 total citations
18 papers, 276 citations indexed

About

Haijun Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Haijun Wu has authored 18 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Haijun Wu's work include Cancer Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Ferroptosis and cancer prognosis (3 papers). Haijun Wu is often cited by papers focused on Cancer Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Ferroptosis and cancer prognosis (3 papers). Haijun Wu collaborates with scholars based in China and United States. Haijun Wu's co-authors include Yu Liang, Liangfang Shen, Lin Shen, Qiongyan Zou, Liangfang Shen, Hong He, Fenfen Fu, Dan Fan, Wenjun Yi and Lei Pei and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Haijun Wu

16 papers receiving 273 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 Wu China 9 187 163 45 44 29 18 276
Shaolin Nie China 9 261 1.4× 234 1.4× 63 1.4× 26 0.6× 22 0.8× 10 368
Nils Degrauwe Switzerland 5 342 1.8× 198 1.2× 59 1.3× 24 0.5× 19 0.7× 7 431
Xiaoke Wu China 10 291 1.6× 213 1.3× 42 0.9× 39 0.9× 23 0.8× 25 393
Weixiao Fan China 6 235 1.3× 168 1.0× 50 1.1× 47 1.1× 13 0.4× 7 301
Huafei Shen China 8 297 1.6× 148 0.9× 65 1.4× 19 0.4× 17 0.6× 16 374
Mehmet Buğrahan Düz Türkiye 8 190 1.0× 144 0.9× 71 1.6× 39 0.9× 27 0.9× 17 288
Linling Lin China 8 250 1.3× 218 1.3× 29 0.6× 31 0.7× 27 0.9× 10 315
Jian Shi China 11 271 1.4× 257 1.6× 45 1.0× 40 0.9× 10 0.3× 25 376
Shifeng Yang China 10 181 1.0× 116 0.7× 80 1.8× 73 1.7× 20 0.7× 15 359

Countries citing papers authored by Haijun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Wu. A scholar is included among the top collaborators of Haijun Wu 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 Wu. Haijun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Ouyang, Min, Hao Sun, Xiaoyu Liu, et al.. (2025). The efficacy and safety of a taxane-based chemotherapy regimen combined with a PD-1 inhibitor in HNSCC: a multicenter real-world study. World Journal of Surgical Oncology. 23(1). 6–6.
2.
Mei, Jie, Xiaoye Zhang, Lei‐Yun Wang, et al.. (2025). Heme oxygenase 1 (HO-1) is a drug target for reversing cisplatin resistance in non-small cell lung cancer. Journal of Advanced Research. 80. 1121–1137. 4 indexed citations
3.
4.
Zhang, Shichuan, Yaqian Han, Hui Wu, et al.. (2024). A multicenter, retrospective study analysis: Evaluating the efficacy and safety of pembrolizumab in the first-line treatment of recurrent or metastatic head and neck squamous cell carcinoma.. Journal of Clinical Oncology. 42(16_suppl). e18013–e18013. 1 indexed citations
5.
Zhu, Youwen, Kun Liu, Hong Zhu, & Haijun Wu. (2023). Immune checkpoint inhibitors plus chemotherapy for HER2-negative advanced gastric/gastroesophageal junction cancer: a cost-effectiveness analysis. Therapeutic Advances in Gastroenterology. 16. 1108390176–1108390176. 8 indexed citations
6.
Song, Qishi, et al.. (2023). Identification of a seven autophagy-related gene pairs signature for the diagnosis of colorectal cancer using the RankComp algorithm. Journal of Bioinformatics and Computational Biology. 21(3). 2350012–2350012. 1 indexed citations
7.
Xu, Ting, Qing H. Meng, Susan C. Gilchrist, et al.. (2021). Assessment of Prognostic Value of High-Sensitivity Cardiac Troponin T for Early Prediction of Chemoradiation Therapy-Induced Cardiotoxicity in Patients with Non-Small Cell Lung Cancer: A Secondary Analysis of a Prospective Randomized Trial. International Journal of Radiation Oncology*Biology*Physics. 111(4). 907–916. 17 indexed citations
8.
Liu, Ping, et al.. (2021). LncRNA‐H19 gene plays a significant role in regulating glioma cell function. Molecular Genetics & Genomic Medicine. 9(10). e1480–e1480. 5 indexed citations
9.
Zheng, Song Guo, Haijun Wu, Fei Wang, et al.. (2019). The oncoprotein HBXIP facilitates metastasis of hepatocellular carcinoma cells by activation of MMP15 expression. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Shen, Liangfang, et al.. (2019). Preoperative Neutrophil/Lymphocyte Ratio Is an Independent Prognostic Biomarker in Patients with Low-Grade Gliomas. World Neurosurgery. 132. e585–e590. 5 indexed citations
11.
Luo, Jia, Dong Wang, Sai Zhang, et al.. (2019). BolA family member 2 enhances cell proliferation and predicts a poor prognosis in hepatocellular carcinoma with tumor hemorrhage. Journal of Cancer. 10(18). 4293–4304. 14 indexed citations
12.
13.
Wang, Dong, Zhiming Wang, Sai Zhang, Haijun Wu, & Yiming Tao. (2018). Canopy Homolog 2 Expression Predicts Poor Prognosis in Hepatocellular Carcinoma with Tumor Hemorrhage. Cellular Physiology and Biochemistry. 50(6). 2017–2028. 11 indexed citations
14.
Zou, Qiongyan, et al.. (2016). RKIP suppresses the proliferation and metastasis of breast cancer cell lines through up-regulation of miR-185 targeting HMGA2. Archives of Biochemistry and Biophysics. 610. 25–32. 40 indexed citations
15.
Wu, Haijun, Yu Liang, Lin Shen, & Liangfang Shen. (2016). MicroRNA-204 modulates colorectal cancer cell sensitivity in response to 5-fluorouracil-based treatment by targeting high mobility group protein A2. Biology Open. 5(5). 563–570. 55 indexed citations
16.
Liu, Ting, Haijun Wu, Yu Liang, et al.. (2016). Tumor-specific expression of shVEGF and suicide gene as a novel strategy for esophageal cancer therapy. World Journal of Gastroenterology. 22(23). 5342–5342. 20 indexed citations
17.
Huang, Xinqiong, Hong Sun, Fengjun Wang, et al.. (2015). HK2 is a radiation resistant and independent negative prognostic factor for patients with locally advanced cervical squamous cell carcinoma.. PubMed. 8(4). 4054–63. 35 indexed citations
18.
Jiang, Wuzhong, Suping Zhao, Rongrong Zhou, et al.. (2007). The Role of Enhanced Radiosensitivity and Tumor-specific Suicide Gene Vector in Genetherapy of Nasopharyngeal Carcinoma. Journal of Radiation Research. 48(3). 211–218. 6 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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