Kaijun Liu

754 total citations
25 papers, 461 citations indexed

About

Kaijun Liu is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Kaijun Liu has authored 25 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Kaijun Liu's work include Pancreatitis Pathology and Treatment (6 papers), MicroRNA in disease regulation (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Kaijun Liu is often cited by papers focused on Pancreatitis Pathology and Treatment (6 papers), MicroRNA in disease regulation (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Kaijun Liu collaborates with scholars based in China, India and Thailand. Kaijun Liu's co-authors include Jinyi Liu, Lin Ao, Jia Cao, Xiaohong Chen, Dongfeng Chen, Wenbin Liu, Haipeng Tong, Julia Li Zhong, Jingqin Fang and Yong Liu and has published in prestigious journals such as Nature Communications, PLoS ONE and Environment International.

In The Last Decade

Kaijun Liu

23 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaijun Liu China 13 160 103 95 77 74 25 461
George S Stoyanov Bulgaria 13 96 0.6× 77 0.7× 51 0.5× 25 0.3× 147 2.0× 78 576
Dimitar V. Zlatev United States 12 161 1.0× 74 0.7× 29 0.3× 35 0.5× 81 1.1× 38 490
Vikas Malhotra India 8 71 0.4× 109 1.1× 39 0.4× 62 0.8× 161 2.2× 32 548
А А Камалов Russia 12 83 0.5× 29 0.3× 30 0.3× 35 0.5× 74 1.0× 114 404
Laurence Brown United Kingdom 13 78 0.5× 63 0.6× 62 0.7× 87 1.1× 73 1.0× 22 709
Kelly R. Pekala United States 9 136 0.8× 141 1.4× 30 0.3× 45 0.6× 120 1.6× 27 685
Murat Oktay Türkiye 13 208 1.3× 75 0.7× 33 0.3× 28 0.4× 109 1.5× 48 465
Terje H. Larsen Norway 13 91 0.6× 27 0.3× 46 0.5× 113 1.5× 131 1.8× 63 561
Mustafa Gırgın Türkiye 12 326 2.0× 159 1.5× 19 0.2× 18 0.2× 156 2.1× 42 573

Countries citing papers authored by Kaijun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaijun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaijun Liu. A scholar is included among the top collaborators of Kaijun Liu 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 Kaijun Liu. Kaijun Liu 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.
2.
Zou, Zhijuan, Peng Fei Liu, Kaijun Liu, et al.. (2025). γ-Ray irradiated polyacrylamide networks enable high-performance Li||S pouch cells. Nature Communications. 16(1). 6729–6729. 1 indexed citations
3.
Liu, Kaijun, et al.. (2024). Examining the importance of neighborhood natural, and built environment factors in predicting older adults' mental well-being: An XGBoost-SHAP approach. Environmental Research. 262(Pt 2). 119929–119929. 15 indexed citations
4.
Li, Hongqing, Duo Sun, Zhenhuan Zhao, et al.. (2024). Neutrophil membrane-derived nanoparticles protect traumatic brain injury via inhibiting calcium overload and scavenging ROS. Journal of Nanobiotechnology. 22(1). 477–477. 7 indexed citations
5.
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Tong, Haipeng, Jingqin Fang, Mi Zhang, et al.. (2022). A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts Tumor Immune Profiles in Non-Small Cell Lung Cancer: A Retrospective Multicohort Study. Frontiers in Immunology. 13. 859323–859323. 58 indexed citations
7.
Yang, Chunmei, et al.. (2021). The Role of Gut Microbiota and Genetic Susceptibility in the Pathogenesis of Pancreatitis. Gut and Liver. 16(5). 686–696. 9 indexed citations
8.
Chen, Xiaohong, Xinru Yin, Jingjing Xiao, et al.. (2021). Prediction of Disease Progression of COVID-19 Based upon Machine Learning. International Journal of General Medicine. Volume 14. 1589–1598. 3 indexed citations
9.
Jin, Rongbing, Kaijun Liu, Yang Li, et al.. (2021). White Matter Atrophy in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment. Frontiers in Neuroscience. 14. 602501–602501. 10 indexed citations
10.
Chen, Xiaohong, Jing Liu, Mi He, et al.. (2021). Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study. Mediators of Inflammation. 2021(1). 5525118–5525118. 20 indexed citations
11.
12.
Wang, Tao, Kewei Liu, Liangzhi Wen, et al.. (2020). Autophagy and Gastrointestinal Diseases. Advances in experimental medicine and biology. 1207. 529–556. 23 indexed citations
13.
Li, Jintao, et al.. (2020). MiR-155-Mediated Deregulation of GPER1 Plays an Important Role in the Gender Differences Related to Inflammatory Bowel Disease. Canadian Journal of Infectious Diseases and Medical Microbiology. 2020. 1–11. 6 indexed citations
14.
Qiu, Qiu, Yongjian Nian, Yan Guo, et al.. (2019). Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis. BMC Gastroenterology. 19(1). 118–118. 43 indexed citations
15.
16.
Hu, S. Jack, et al.. (2017). MicroRNA-520c inhibits glioma cell migration and invasion by the suppression of transforming growth factor-β receptor type 2. Oncology Reports. 37(3). 1691–1697. 14 indexed citations
17.
Zhang, Guowei, Huan Yan, Qing Chen, et al.. (2016). Effects of cell phone use on semen parameters: Results from the MARHCS cohort study in Chongqing, China. Environment International. 91. 116–121. 32 indexed citations
18.
Liu, Yong, Wenbin Liu, Kaijun Liu, et al.. (2015). Overexpression of miR-26b-5p regulates the cell cycle by targeting CCND2 in GC-2 cells under exposure to extremely low frequency electromagnetic fields. Cell Cycle. 15(3). 357–367. 28 indexed citations
19.
Liu, Yong, Wenbin Liu, Kaijun Liu, et al.. (2015). Effect of 50 Hz Extremely Low-Frequency Electromagnetic Fields on the DNA Methylation and DNA Methyltransferases in Mouse Spermatocyte-Derived Cell Line GC-2. BioMed Research International. 2015. 1–10. 40 indexed citations
20.
Li, Jinqing, Kanglai Tang, Jian Wang, et al.. (2011). MRI Findings for Frozen Shoulder Evaluation: Is the Thickness of the Coracohumeral Ligament a Valuable Diagnostic Tool?. PLoS ONE. 6(12). e28704–e28704. 49 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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