Ruijun Pan

462 total citations
25 papers, 372 citations indexed

About

Ruijun Pan is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Ruijun Pan has authored 25 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Ruijun Pan's work include Cancer Cells and Metastasis (4 papers), Surgical Simulation and Training (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ruijun Pan is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Surgical Simulation and Training (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ruijun Pan collaborates with scholars based in China, United States and Belgium. Ruijun Pan's co-authors include Saman Nimali Gunasekara, Justin NingWei Chiu, Viktoria Martin, Peiyong Li, Minhua Zheng, Chun‐Ting Li, Xin Jin, Xinyuan Zhu, Wei Cai and Chaoran Yu and has published in prestigious journals such as Biomaterials, Analytical Chemistry and Biochemistry.

In The Last Decade

Ruijun Pan

23 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruijun Pan China 9 127 115 58 58 55 25 372
Manhua Li China 12 72 0.6× 132 1.1× 31 0.5× 41 0.7× 35 0.6× 27 356
Yusuke Koike Japan 13 93 0.7× 248 2.2× 25 0.4× 81 1.4× 77 1.4× 57 612
Suxin Zhang China 11 61 0.5× 61 0.5× 39 0.7× 49 0.8× 20 0.4× 36 354
Qinghong Ji China 10 55 0.4× 265 2.3× 32 0.6× 22 0.4× 20 0.4× 19 488
Xingxia Yang China 10 224 1.8× 181 1.6× 19 0.3× 269 4.6× 58 1.1× 16 519
Zhuo Chang China 10 115 0.9× 42 0.4× 53 0.9× 80 1.4× 21 0.4× 31 337
Qinfang Li China 10 45 0.4× 63 0.5× 70 1.2× 167 2.9× 21 0.4× 24 381
Haiping Yang China 10 29 0.2× 97 0.8× 119 2.1× 39 0.7× 75 1.4× 59 433

Countries citing papers authored by Ruijun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ruijun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruijun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ruijun Pan. A scholar is included among the top collaborators of Ruijun Pan 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 Ruijun Pan. Ruijun Pan 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.
Pan, Ruijun, Yiqing Shen, Xue Wang, et al.. (2025). Development and validation of a postoperative prognostic model for hormone receptor positive early stage breast cancer recurrence. Scientific Reports. 15(1). 9905–9905.
2.
3.
Dong, Shuwen, Anqi Li, Ruijun Pan, et al.. (2025). Carboplatin-resistance-related DNA damage repair prognostic gene signature and its association with immune infiltration in breast cancer. Frontiers in Immunology. 16. 1522149–1522149. 1 indexed citations
4.
Pan, Ruijun, Xueliang Zhou, Luyang Zhang, et al.. (2024). Impact of laparoscopic training course for surgical trainees based on an evidence-based pedagogical framework: randomized trial. BJS Open. 8(5). 1 indexed citations
5.
Jia, Hongtao, Yanfei Shao, Xueliang Zhou, et al.. (2023). PKCδ promotes the invasion and migration of colorectal cancer through c-myc/NDRG1 pathway. Frontiers in Oncology. 13. 1026561–1026561. 5 indexed citations
6.
Xiao, Yinan, et al.. (2023). Analysis of immune infiltration and cuproptosis-related genes in acute myocardial infarction. European Heart Journal. 44(Supplement_2). 2 indexed citations
7.
Zhou, Xueliang, Batuer Aikemu, Shuchun Li, et al.. (2022). Comprehensive exploration of tumor immune microenvironment feature and therapeutic response in colorectal cancer based on a novel immune-related long non-coding RNA prognostic signature. Frontiers in Genetics. 13. 962575–962575. 1 indexed citations
8.
Pan, Ruijun, Zhou Zhang, Hongtao Jia, et al.. (2022). CAMTA1–PPP3CA–NFATc4 multi-protein complex mediates the resistance of colorectal cancer to oxaliplatin. Cell Death Discovery. 8(1). 129–129. 4 indexed citations
9.
Pan, Ruijun, Dingye Yu, Jiajia Hu, et al.. (2022). SFMBT1 facilitates colon cancer cell metastasis and drug resistance combined with HMG20A. Cell Death Discovery. 8(1). 263–263. 4 indexed citations
10.
Pan, Ruijun, Hiju Hong, Jing Ping Sun, et al.. (2021). Detection and Clinical Value of Circulating Tumor Cells as an Assisted Prognostic Marker in Colorectal Cancer Patients. Cancer Management and Research. Volume 13. 4567–4578. 27 indexed citations
11.
Yu, Dingye, Xiao Yang, Jianwei Lin, et al.. (2021). Super-Enhancer Induced IL-20RA Promotes Proliferation/Metastasis and Immune Evasion in Colorectal Cancer. Frontiers in Oncology. 11. 724655–724655. 28 indexed citations
12.
Li, Chun‐Ting, Xin Jin, Yue Su, et al.. (2020). Hydrogen peroxide-response nanoprobe for CD44-targeted circulating tumor cell detection and H2O2 analysis. Biomaterials. 255. 120071–120071. 39 indexed citations
13.
Pan, Ruijun, et al.. (2020). Ratiometric nanoprobe for circulating tumor cell detection and intracellular hydrogen peroxide evaluation in colorectal cancer patients. Bioorganic & Medicinal Chemistry. 30. 115930–115930. 4 indexed citations
14.
Yu, Chaoran, Pei Xue, Luyang Zhang, et al.. (2018). Prediction of key genes and pathways involved in trastuzumab-resistant gastric cancer. World Journal of Surgical Oncology. 16(1). 174–174. 19 indexed citations
15.
Wang, Yan, et al.. (2018). A Passive Snake-like Arm Based on Wire-driven Mechanism for Laparoscopic Surgery. IOP Conference Series Materials Science and Engineering. 435. 12058–12058. 1 indexed citations
16.
Li, Chun‐Ting, Ruijun Pan, Peiyong Li, et al.. (2017). Hydrogen Peroxide-Responsive Nanoprobe Assists Circulating Tumor Cell Identification and Colorectal Cancer Diagnosis. Analytical Chemistry. 89(11). 5966–5975. 33 indexed citations
17.
Cao, Yan, Xiaofei Liang, Liang Li, et al.. (2017). High-Efficiency EpCAM/EGFR-PLGA Immunomagnetic Beads with Specific Recognition on Circulating Tumor Cells in Colorectal Cancer. Journal of Biomedical Nanotechnology. 13(7). 758–766. 3 indexed citations
18.
Cai, Zhenghao, Ruijun Pan, Junjun Ma, & Minhua Zheng. (2016). Tumor Localization for Laparoscopic Colorectal Resection Without Endoscopic Tattooing. Surgical Laparoscopy Endoscopy & Percutaneous Techniques. 26(3). 230–235. 6 indexed citations
19.
Pan, Ruijun. (2013). Energy density and volume expansion in solid-liquid phase change, for energy applications. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
20.
Morrison, Ian, et al.. (1997). Restriction by Ankyrin of Band 3 Rotational Mobility in Human Erythrocyte Membranes and Reconstituted Lipid Vesicles. Biochemistry. 36(31). 9588–9595. 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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