Haijun Wu

534 citations
18 papers · 276 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

Haijun Wu

16 papers receiving 273 citations

Peers

Haijun Wu
Comparison fields: 5 of 52
  • Cancer Research 163
  • Molecular Biology 187
  • Oncology 45
  • Pulmonary and Respiratory Medicine 44
  • Pathology and Forensic Medicine 22
Replace Jintong Ji with:
Jintong Ji China
А. Yu. Dobrodeev Russia
Kunli Du China
Xianyu Hu China
Chuanqiang Wu China
Nils Degrauwe Switzerland
Xujing Lu China
Miho Okano Japan
Haijun Wu relative to Jintong Ji China Jintong Ji's profile →
Citations per field
00.5×
Jintong Ji · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Haijun Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haijun Wu Line = papers co-authored together Haijun Wu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201655
2 201953
3 201640
4
HK2 is a radiation resistant and independent negative prognostic factor for patients with locally advanced cervical squamous cell carcinoma.
201535
5 201620
6 202117
7 201914
8 201811
9 20238
10 20076
11 20195
12 20215
13 20254
14
The oncoprotein HBXIP facilitates metastasis of hepatocellular carcinoma cells by activation of MMP15 expression
20191
15 20241
16 20231
17 20250
18 20250

About Haijun Wu

Haijun Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 18 papers that have together received 276 indexed citations. Recurring topics across this work include Cancer Research and Treatments (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Colorectal and Anal Carcinomas (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Cancer Research (163 citations), Molecular Biology (187 citations), Oncology (45 citations), Pulmonary and Respiratory Medicine (44 citations) and Pathology and Forensic Medicine (22 citations). Haijun Wu has collaborated with scholars based in China and United States. Frequent co-authors include Yu Liang, Lin Shen, Liangfang Shen, Qiongyan Zou, Liangfang Shen, Wenjun Yi, Lei Pei, Hong He, Dan Fan and Fenfen Fu. Their work appears in journals such as Biology Open, International Journal of Radiation Oncology*Biology*Physics, World Neurosurgery, Journal of Advanced Research and Cancer Medicine.

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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