Ling‐Min Kong

1.1k total citations
22 papers, 791 citations indexed

About

Ling‐Min Kong is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ling‐Min Kong has authored 22 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Ling‐Min Kong's work include Signaling Pathways in Disease (7 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Ling‐Min Kong is often cited by papers focused on Signaling Pathways in Disease (7 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Ling‐Min Kong collaborates with scholars based in China, India and United States. Ling‐Min Kong's co-authors include Cheng‐Gong Liao, Zhi‐Nan Chen, Huijie Bian, Jinliang Xing, Jing Xu, Yang Zhang, Yi Zhang, Xu Guo, Fei Fei and Wan Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Ling‐Min Kong

21 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling‐Min Kong China 14 588 270 136 135 66 22 791
Guoyong Han China 16 550 0.9× 368 1.4× 174 1.3× 144 1.1× 60 0.9× 31 819
Wenkai Ni China 19 835 1.4× 380 1.4× 180 1.3× 174 1.3× 82 1.2× 42 1.1k
Pierre‐Benoit Ancey France 10 555 0.9× 385 1.4× 228 1.7× 185 1.4× 71 1.1× 10 927
Miryam Müller Germany 11 598 1.0× 448 1.7× 151 1.1× 251 1.9× 125 1.9× 15 965
Tao Ma China 11 434 0.7× 197 0.7× 85 0.6× 206 1.5× 48 0.7× 46 787
Gang‐Ming Zou China 15 537 0.9× 276 1.0× 115 0.8× 140 1.0× 39 0.6× 27 820
Shucai Yang China 13 509 0.9× 317 1.2× 154 1.1× 230 1.7× 44 0.7× 24 793
Eva Løbner Lund Denmark 15 408 0.7× 212 0.8× 72 0.5× 235 1.7× 51 0.8× 45 753

Countries citing papers authored by Ling‐Min Kong

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Min Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Min Kong. 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 Ling‐Min Kong. The network helps show where Ling‐Min Kong may publish in the future.

Co-authorship network of co-authors of Ling‐Min Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Min Kong. A scholar is included among the top collaborators of Ling‐Min Kong 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 Ling‐Min Kong. Ling‐Min Kong 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, Man, Can Li, Renyu Zhang, et al.. (2025). hCCL19-expressing recombinant Newcastle disease virus boosts CAR T cell infiltration and efficacy in solid tumor. Journal for ImmunoTherapy of Cancer. 13(7). e011783–e011783. 1 indexed citations
2.
3.
Zhang, Renyu, C. Li, Ling‐Min Kong, et al.. (2024). UBE2S promotes glycolysis in hepatocellular carcinoma by enhancing E3 enzyme-independent polyubiquitination of VHL. Clinical and Molecular Hepatology. 30(4). 771–792. 10 indexed citations
4.
5.
Shao, Jie, Renyu Zhang, Ling‐Min Kong, et al.. (2023). Large HBV Surface Protein-Induced Unfolded Protein Response Dynamically Regulates p27 Degradation in Hepatocellular Carcinoma Progression. International Journal of Molecular Sciences. 24(18). 13825–13825. 4 indexed citations
6.
Liu, Ze-Kun, Renyu Zhang, Ling‐Min Kong, et al.. (2022). Pyroptosis-Related LncRNA Signature Predicts Prognosis and Is Associated With Immune Infiltration in Hepatocellular Carcinoma. Frontiers in Oncology. 12. 794034–794034. 13 indexed citations
7.
Liao, Cheng‐Gong, Xiaohua Liang, Ke Yuan, et al.. (2022). Active demethylation upregulates CD147 expression promoting non-small cell lung cancer invasion and metastasis. Oncogene. 41(12). 1780–1794. 20 indexed citations
8.
Zhang, Renyu, Zekun Liu, Ling‐Min Kong, et al.. (2022). Identification of IRF8 as an immune infiltration‐related biomarker in hepatocellular carcinoma by bioinformatics analysis. SHILAP Revista de lepidopterología. 3(3). e149–e149. 1 indexed citations
9.
Liu, Ze-Kun, Can Li, Renyu Zhang, et al.. (2021). EYA2 suppresses the progression of hepatocellular carcinoma via SOCS3-mediated blockade of JAK/STAT signaling. Molecular Cancer. 20(1). 79–79. 40 indexed citations
10.
Li, Can, Ze-Kun Liu, Ling‐Min Kong, et al.. (2018). System analysis of the regulation of the immune response by CD147 and FOXC1 in cancer cell lines. Oncotarget. 9(16). 12918–12931. 6 indexed citations
11.
Liao, Cheng‐Gong, Yao Li, Wei Xie, et al.. (2016). Basigin-2 upregulated by receptor activator of NF-κB ligand enhances lung cancer-induced osteolytic lesions. Cancer Cell International. 16(1). 28–28. 8 indexed citations
12.
Kong, Ling‐Min, Yao Li, Ning Lü, et al.. (2016). Interaction of KLF6 and Sp1 regulates basigin-2 expression mediated proliferation, invasion and metastasis in hepatocellular carcinoma. Oncotarget. 7(19). 27975–27987. 20 indexed citations
13.
Li, Haiyan, Dawei Zhang, Hao Li, et al.. (2015). Activation of TGF-β1-CD147 positive feedback loop in hepatic stellate cells promotes liver fibrosis. Scientific Reports. 5(1). 16552–16552. 67 indexed citations
14.
Kong, Ling‐Min, Cheng‐Gong Liao, Yang Zhang, et al.. (2014). A Regulatory Loop Involving miR-22, Sp1, and c-Myc Modulates CD147 Expression in Breast Cancer Invasion and Metastasis. Cancer Research. 74(14). 3764–3778. 138 indexed citations
15.
Li, Wen, Yu Wang, Huan Wang, et al.. (2012). L-type calcium channels play a crucial role in the proliferation and osteogenic differentiation of bone marrow mesenchymal stem cells. Biochemical and Biophysical Research Communications. 424(3). 439–445. 78 indexed citations
16.
Kong, Ling‐Min, et al.. (2012). Suppression of MMP-9 activity by NDRG2 expression inhibits clear cell renal cell carcinoma invasion. Medical Oncology. 29(5). 3306–3313. 19 indexed citations
17.
Kong, Ling‐Min, Cheng‐Gong Liao, Fei Fei, et al.. (2010). Transcription factor Sp1 regulates expression of cancer‐associated molecule CD147 in human lung cancer. Cancer Science. 101(6). 1463–1470. 92 indexed citations
18.
Kong, Ling‐Min, Cheng‐Gong Liao, Liang Chen, et al.. (2010). Promoter hypomethylation up‐regulates CD147 expression through increasing Sp1 binding and associates with poor prognosis in human hepatocellular carcinoma. Journal of Cellular and Molecular Medicine. 15(6). 1415–1428. 53 indexed citations
19.
Liao, Cheng‐Gong, Yunming Li, Xiang-Min Yang, et al.. (2007). Epitope Mapping of Series of Monoclonal Antibodies Against the Hepatocellular Carcinoma‐associated Antigen HAb18G/CD147. Scandinavian Journal of Immunology. 65(5). 435–443. 31 indexed citations
20.
Xu, Huiyun, Airong Qian, Peng Shang, et al.. (2006). siRNA targeted against HAb18G/CD147 inhibits MMP-2 secretion, actin and FAK expression in hepatocellular carcinoma cell line via ERK1/2 pathway. Cancer Letters. 247(2). 336–344. 42 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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