Jun-Jie Liu

401 total citations
36 papers, 269 citations indexed

About

Jun-Jie Liu is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Jun-Jie Liu has authored 36 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Oncology. Recurrent topics in Jun-Jie Liu's work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jun-Jie Liu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jun-Jie Liu collaborates with scholars based in China, Taiwan and Bulgaria. Jun-Jie Liu's co-authors include Tao Bai, Le‐Qun Li, Honglin Luo, Xiaohui Fan, Tao Luo, Jie Chen, Feixiang Wu, Dong‐Sheng Pei, Ya‐Feng Sun and Junnian Zheng and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun-Jie Liu

32 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun-Jie Liu China 10 129 67 41 37 30 36 269
Yumin Ke China 10 140 1.1× 40 0.6× 54 1.3× 29 0.8× 30 1.0× 28 304
Wenhui Zhu China 11 103 0.8× 61 0.9× 44 1.1× 73 2.0× 22 0.7× 29 283
Tianshu Yang China 8 123 1.0× 48 0.7× 46 1.1× 37 1.0× 36 1.2× 20 311
Kajetan Kiełbowski Poland 11 119 0.9× 60 0.9× 42 1.0× 18 0.5× 53 1.8× 57 313
Kyveli Angelou Greece 7 189 1.5× 83 1.2× 72 1.8× 41 1.1× 40 1.3× 19 405
Jaspreet Kaur India 10 100 0.8× 54 0.8× 77 1.9× 63 1.7× 47 1.6× 35 279
Laura Tammè Italy 9 134 1.0× 54 0.8× 39 1.0× 19 0.5× 72 2.4× 13 312
Xingdong Cai China 10 167 1.3× 79 1.2× 74 1.8× 50 1.4× 20 0.7× 23 330
Wen Zhong China 9 107 0.8× 32 0.5× 39 1.0× 31 0.8× 34 1.1× 33 293
Tze-Ho Chen Taiwan 8 129 1.0× 42 0.6× 77 1.9× 16 0.4× 51 1.7× 18 274

Countries citing papers authored by Jun-Jie Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Jie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Jie Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Jie Liu. A scholar is included among the top collaborators of Jun-Jie 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 Jun-Jie Liu. Jun-Jie 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.
Liu, Jun-Jie, et al.. (2025). Ir-Catalyzed, Stereoselective Total Synthesis of (+)-Rubriflordilactone A. Journal of the American Chemical Society. 147(20). 16792–16797.
2.
Deng, Zijian, Jianping Guo, Hongwen Yao, et al.. (2025). CircZFAND6 suppresses gastric cancer metastasis and reduces resistance to TKI therapy. Molecular Cancer. 24(1). 305–305.
3.
Tan, Guan Hee, et al.. (2025). Machine learning prediction of perineural invasion in intrahepatic cholangiocarcinoma. European Journal of Surgical Oncology. 51(9). 110203–110203.
4.
Jia, Yongfeng, et al.. (2025). Exploring BMI's mediating influence on cardiovascular risk correlations with the triglyceride-glucose index: using NHANES and CHARLS cohorts. Frontiers in Cardiovascular Medicine. 12. 1593413–1593413. 2 indexed citations
5.
Huang, Yingqi, Ze-Ning Huang, Peng Zhang, et al.. (2024). Development of a staging system for hepatoid adenocarcinoma of the stomach based on multicenter data: a retrospective cohort study. International Journal of Surgery. 111(1). 718–727. 3 indexed citations
6.
Wu, Yafei, Yuanyuan Chen, Lili Wei, et al.. (2024). The Value of CEUS LI-RADS combined with AFP in early diagnosis of hepatocellular carcinoma in low- and high-risk patients. Journal of Cancer Research and Therapeutics. 20(4). 1274–1283. 1 indexed citations
7.
8.
9.
An, Peng, et al.. (2023). Predicting mixed venous oxygen saturation (SvO 2 ) impairment in COPD patients using clinical-CT radiomics data: A preliminary study. Technology and Health Care. 32(3). 1569–1582. 1 indexed citations
10.
Wang, Jun‐Xian, Jun-Jie Liu, Ziyang Liu, et al.. (2023). Prognostic Prediction Value and Biological Functions of Non-Apoptotic Regulated Cell Death Genes in Lung Adenocarcinoma. Chinese Medical Sciences Journal. 38(3). 178–190. 2 indexed citations
11.
Deng, Zijian, Jun Lü, Run‐Cong Nie, et al.. (2022). Indications for Adjuvant Chemotherapy in Stage II Gastric Cancer After D2 Gastrectomy–A Chinese Multicenter Study. Annals of Surgical Oncology. 29(13). 8214–8224. 4 indexed citations
12.
Deng, Zijian, Xijie Chen, Jun-Jie Liu, et al.. (2022). SIRGs score may be a predictor of prognosis and immunotherapy response for esophagogastric junction adenocarcinoma. Frontiers in Immunology. 13. 977894–977894. 1 indexed citations
13.
Liu, Jun-Jie, et al.. (2021). The impact of gene-body H3K36me3 patterns on gene expression level changes in chronic myelogenous leukemia. Gene. 802. 145862–145862. 4 indexed citations
14.
Lin, Jian‐Xian, Peng Zhang, Zizhen Zhang, et al.. (2021). Assessment of Clinicopathological Characteristics and Development of an Individualized Prognostic Model for Patients With Hepatoid Adenocarcinoma of the Stomach. JAMA Network Open. 4(10). e2128217–e2128217. 21 indexed citations
15.
Liu, Jun-Jie, et al.. (2019). Effects of chain length of saturated fatty acids on Aβ generation in SH-SY5Y cells. Neuroscience Letters. 698. 169–172. 7 indexed citations
16.
Liu, Jun-Jie, Tenghui Ma, Qiyuan Qin, & Lei Wang. (2019). Stent placement followed by preoperative chemotherapy and elective surgery for acute malignant colorectal obstruction: Six cases of report. World Journal of Gastrointestinal Oncology. 11(3). 264–269. 2 indexed citations
17.
Liu, Jun-Jie, Wenji Liang, Jingyao Wang, et al.. (2018). Moderate hypothermia protects increased neuronal autophagy via activation of extracellular signal-regulated kinase signaling pathway in a rat model of early brain injury in subarachnoid hemorrhage. Biochemical and Biophysical Research Communications. 502(3). 338–344. 4 indexed citations
18.
Chen, Jie, Feixiang Wu, Honglin Luo, et al.. (2016). Berberine upregulates miR-22-3p to suppress hepatocellular carcinoma cell proliferation by targeting Sp1.. PubMed. 8(11). 4932–4941. 71 indexed citations
19.
Liu, Jun-Jie, Baofu Zhang, Xiaoxing Yin, et al.. (2012). EXPRESSION, PURIFICATION, AND CHARACTERIZATION OF RGD-mda-7, A HIS-TAGGED mda-7/IL-24 MUTANT PROTEIN. Journal of Immunoassay and Immunochemistry. 33(4). 352–368. 9 indexed citations
20.
Zhang, Baofu, Jun-Jie Liu, Dong‐Sheng Pei, et al.. (2011). Potent Antitumor Effect Elicited by RGD- mda-7 , an mda-7 /IL-24 Mutant, via Targeting the Integrin Receptor of Tumor Cells. Cancer Biotherapy and Radiopharmaceuticals. 26(5). 647–655. 14 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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