Junjie Kuang

531 total citations
11 papers, 344 citations indexed

About

Junjie Kuang is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Junjie Kuang has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Junjie Kuang's work include Immune cells in cancer (3 papers), RNA modifications and cancer (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Junjie Kuang is often cited by papers focused on Immune cells in cancer (3 papers), RNA modifications and cancer (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Junjie Kuang collaborates with scholars based in China, United States and Germany. Junjie Kuang's co-authors include Dehua Wu, Li Liu, Zhong‐Yi Dong, Hongbo Zhu, Yan Li, Yuwen Lu, Weijia Lu, Weimin Tang, Kun Huang and Fan Yang and has published in prestigious journals such as Theranostics, Frontiers in Pharmacology and PeerJ.

In The Last Decade

Junjie Kuang

10 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjie Kuang China 6 163 118 77 76 74 11 344
Jiamei Chen China 13 107 0.7× 66 0.6× 69 0.9× 88 1.2× 94 1.3× 25 350
A. Huijbers Netherlands 6 213 1.3× 67 0.6× 75 1.0× 61 0.8× 75 1.0× 8 343
Hae Min Jeong South Korea 11 167 1.0× 52 0.4× 118 1.5× 145 1.9× 174 2.4× 19 457
Valentina Magri Italy 11 207 1.3× 56 0.5× 132 1.7× 63 0.8× 66 0.9× 28 345
Dayang Hui China 8 116 0.7× 43 0.4× 45 0.6× 67 0.9× 51 0.7× 13 285
Haoyu Ren China 12 74 0.5× 121 1.0× 86 1.1× 121 1.6× 104 1.4× 26 457
Jurui Luo China 9 162 1.0× 117 1.0× 144 1.9× 100 1.3× 156 2.1× 21 417
Mengwan Wu China 11 184 1.1× 71 0.6× 90 1.2× 77 1.0× 148 2.0× 19 415
Zhiguang Yang China 13 142 0.9× 63 0.5× 174 2.3× 134 1.8× 187 2.5× 40 481

Countries citing papers authored by Junjie Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Kuang

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

All Works

11 of 11 papers shown
2.
Jin, Wenyi, Xiaoli Shan, Yubiao Zhang, et al.. (2025). Optimizing mitochondria function in immune cells: implications for cancer immunotherapy. Trends in cancer. 11(12). 1170–1184. 1 indexed citations
3.
Kuang, Junjie, et al.. (2025). Machine learning analysis reveals tumor heterogeneity and stromal-immune niches in breast cancer. npj Digital Medicine. 8(1). 565–565. 2 indexed citations
4.
Guo, Zhaoze, Han Zhang, Yiming Fu, et al.. (2023). Cancer-associated fibroblasts induce growth and radioresistance of breast cancer cells through paracrine IL-6. Cell Death Discovery. 9(1). 6–6. 69 indexed citations
5.
Kuang, Junjie, et al.. (2023). Comprehensive analysis of Cuproplasia and immune microenvironment in lung adenocarcinoma. Frontiers in Pharmacology. 14. 1240736–1240736. 1 indexed citations
6.
Kuang, Junjie, et al.. (2021). Efficacy of sorafenib combined with transcatheter hepatic arterial chemoembolization in treating intermediate-advanced hepatocellular carcinoma.. PubMed. 26(3). 868–874. 5 indexed citations
7.
Cao, Rui, Fan Yang, Si-Cong Ma, et al.. (2020). Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer. Theranostics. 10(24). 11080–11091. 163 indexed citations
8.
Zhu, Hongbo, Heng Zhao, Jing Zhang, et al.. (2020). Radiomics-based nomogram using CT imaging for noninvasive preoperative prediction of early recurrence in patients with hepatocellular carcinoma. Diagnostic and Interventional Radiology. 26(5). 411–419. 29 indexed citations
9.
Zhao, Shufen, et al.. (2020). NUCKS1 Promotes Proliferation, Invasion and Migration of Non-Small Cell Lung Cancer by Upregulating CDK1 Expression. Cancer Management and Research. Volume 12. 13311–13323. 28 indexed citations
10.
Kuang, Junjie, Zhi-Min Jiang, Yanxian Chen, et al.. (2016). Smoking Exposure and Survival of Patients with Esophagus Cancer: A Systematic Review and Meta-Analysis. Gastroenterology Research and Practice. 2016. 1–10. 26 indexed citations
11.
Chen, Yanxian, Qiong Yang, Junjie Kuang, et al.. (2014). Efficacy of Adding Bevacizumab in the First-Line Chemotherapy of Metastatic Colorectal Cancer: Evidence from Seven Randomized Clinical Trials. Gastroenterology Research and Practice. 2014. 1–8. 20 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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