Lingming Kong

709 total citations · 1 hit paper
19 papers, 481 citations indexed

About

Lingming Kong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lingming Kong has authored 19 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Lingming Kong's work include Epigenetics and DNA Methylation (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Ferroptosis and cancer prognosis (5 papers). Lingming Kong is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Ferroptosis and cancer prognosis (5 papers). Lingming Kong collaborates with scholars based in China, Germany and United Kingdom. Lingming Kong's co-authors include Xiang Zhou, Baofu Zhang, Xiaodong Tan, Jiatong Li, Baohui Zhang, Peng Liu, Jie Deng, Ling Qin, Bufu Tang and Xiaohu Chen and has published in prestigious journals such as Free Radical Biology and Medicine, BioMed Research International and Cell Death and Disease.

In The Last Decade

Lingming Kong

19 papers receiving 475 citations

Hit Papers

Sitagliptin activates the p62–Keap1–Nrf2 signalling pathw... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingming Kong China 11 293 196 147 91 82 19 481
Helin Feng China 15 238 0.8× 197 1.0× 144 1.0× 130 1.4× 79 1.0× 47 557
Xiaolong Ma China 17 388 1.3× 136 0.7× 105 0.7× 99 1.1× 55 0.7× 28 621
Yingkun Xu China 15 415 1.4× 277 1.4× 290 2.0× 105 1.2× 81 1.0× 47 672
Zhen Zhu China 12 268 0.9× 124 0.6× 70 0.5× 113 1.2× 97 1.2× 23 464
Weinan Du United States 9 301 1.0× 272 1.4× 136 0.9× 90 1.0× 49 0.6× 17 628
Ming Ma China 13 289 1.0× 140 0.7× 123 0.8× 117 1.3× 66 0.8× 56 490
Yu Gan China 16 372 1.3× 269 1.4× 322 2.2× 77 0.8× 53 0.6× 42 730
Fanming Kong China 12 226 0.8× 96 0.5× 113 0.8× 180 2.0× 62 0.8× 61 515

Countries citing papers authored by Lingming Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingming Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingming Kong

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

All Works

19 of 19 papers shown
1.
Wang, Wei‐Ming, et al.. (2024). BUB1 Promotes Gemcitabine Resistance in Pancreatic Cancer Cells by Inhibiting Ferroptosis. Cancers. 16(8). 1540–1540. 6 indexed citations
2.
Zhang, Tan, Zhiyuan Bo, Fengyu Shi, et al.. (2024). CIP2A inhibitors TD52 and Ethoxysanguinarine promote macrophage autophagy and alleviates acute pancreatitis by modulating the AKT-mTOR pathway. Phytomedicine. 136. 156263–156263. 3 indexed citations
3.
Shi, Fengyu, Lingming Kong, Yuepeng Jin, et al.. (2023). KAN0438757, a novel PFKFB3 inhibitor, prevent the progression of severe acute pancreatitis via the Nrf2/HO-1 pathway in infiltrated macrophage. Free Radical Biology and Medicine. 210. 130–145. 7 indexed citations
4.
Zhou, Xiang, et al.. (2022). Role of ferroptosis in gastrointestinal tumors: From mechanisms to therapies. Cell Biology International. 46(7). 997–1008. 16 indexed citations
5.
Xiang, Fei, Lingming Kong, Gang Wang, et al.. (2022). Identification of Prognosis-Related Molecular Subgroups and Construction of a Prognostic Prediction Model Using Immune-Related Genes in Pancreatic Cancer. Journal of Oncology. 2022. 1–21. 5 indexed citations
6.
Kong, Lingming, Jie Deng, Xiang Zhou, et al.. (2021). Sitagliptin activates the p62–Keap1–Nrf2 signalling pathway to alleviate oxidative stress and excessive autophagy in severe acute pancreatitis-related acute lung injury. Cell Death and Disease. 12(10). 928–928. 155 indexed citations breakdown →
7.
Ye, Shijie, et al.. (2021). Understanding the Effects of Metabolites on the Gut Microbiome and Severe Acute Pancreatitis. BioMed Research International. 2021(1). 1516855–1516855. 13 indexed citations
8.
Gao, Yang, Enchong Zhang, Fei Xiang, et al.. (2021). Identification of Novel Metabolism-Associated Subtypes for Pancreatic Cancer to Establish an Eighteen-Gene Risk Prediction Model. Frontiers in Cell and Developmental Biology. 9. 691161–691161. 11 indexed citations
9.
Yin, Xiaoli, Lingming Kong, & Peng Liu. (2021). Identification of prognosis-related molecular subgroups based on DNA methylation in pancreatic cancer. Clinical Epigenetics. 13(1). 109–109. 12 indexed citations
10.
Zhang, Baohui, et al.. (2020). A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients. Journal of Translational Medicine. 18(1). 342–342. 114 indexed citations
11.
Kong, Lingming, Peng Liu, Fei Xiang, et al.. (2020). A Prognostic Prediction Model Developed Based on Four CpG Sites and Weighted Correlation Network Analysis Identified DNAJB1 as a Novel Biomarker for Pancreatic Cancer. Frontiers in Oncology. 10. 1716–1716. 13 indexed citations
12.
Kong, Lingming, Peng Liu, Mingjun Zheng, et al.. (2020). <p>The miR-1224-5p/ELF3 Axis Regulates Malignant Behaviors of Pancreatic Cancer via PI3K/AKT/Notch Signaling Pathways</p>. OncoTargets and Therapy. Volume 13. 3449–3466. 29 indexed citations
13.
Liu, Peng, Lingming Kong, Yunhao Wu, et al.. (2020). Identification of dissociation factors in pancreatic Cancer using a mass spectrometry-based proteomic approach. BMC Cancer. 20(1). 45–45. 19 indexed citations
14.
Kong, Lingming, et al.. (2020). Multi-Omics Analysis Based on Integrated Genomics, Epigenomics and Transcriptomics in Pancreatic Cancer. Epigenomics. 12(6). 507–524. 22 indexed citations
15.
Gao, Yang, Xiang Fei, Lingming Kong, & Xiaodong Tan. (2020). HOXB5 promotes proliferation, migration, and invasion of pancreatic cancer cell through the activation of the GSK3β/β-catenin pathway. Anti-Cancer Drugs. 31(8). 828–835. 10 indexed citations
16.
Liu, Peng, Lingming Kong, Haoyi Jin, et al.. (2019). Differential secretome of pancreatic cancer cells in serum-containing conditioned medium reveals CCT8 as a new biomarker of pancreatic cancer invasion and metastasis. Cancer Cell International. 19(1). 262–262. 23 indexed citations
17.
Jin, Haoyi, Peng Liu, Lingming Kong, et al.. (2019). Identification of RE1-Silencing Transcription Factor as a Promoter of Metastasis in Pancreatic Cancer. Frontiers in Oncology. 9. 291–291. 8 indexed citations
18.
Lu, Jim, Li-Yi Zhang, Xuelian Cui, et al.. (2017). Long noncoding RNAs: New evidence for overlapped pathogenesis between major depressive disorder and generalized anxiety disorder. Indian Journal of Psychiatry. 59(1). 83–83. 10 indexed citations
19.
Niu, Wei, Mingjun He, Lingming Kong, et al.. (2015). [Bioinformatics analysis of differently expressed microRNAs in anxiety disorder].. PubMed. 32(5). 641–6. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026