Ling Jing

5.2k total citations · 1 hit paper
103 papers, 3.2k citations indexed

About

Ling Jing is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Ling Jing has authored 103 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 23 papers in Cancer Research and 18 papers in Pathology and Forensic Medicine. Recurrent topics in Ling Jing's work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). Ling Jing is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). Ling Jing collaborates with scholars based in China, United States and Thailand. Ling Jing's co-authors include Yan Yu, Jianhua Luo, George K. Michalopoulos, Bao‐Guo Ren, Rajiv Dhir, Dean Y. Li, Lijun Liu, Douglas Landsittel, Sydney Finkelstein and Courtney McDonald and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Ling Jing

99 papers receiving 3.2k citations

Hit Papers

Gene Expression Alterations in Prostate Cancer Predicting... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Jing China 30 1.6k 610 524 428 401 103 3.2k
Wassim Abou‐Kheir Lebanon 33 1.4k 0.9× 800 1.3× 545 1.0× 740 1.7× 183 0.5× 113 3.2k
Shozo Nishida Japan 36 1.6k 0.9× 727 1.2× 366 0.7× 974 2.3× 287 0.7× 171 3.6k
Lu Zheng China 31 1.6k 1.0× 842 1.4× 349 0.7× 557 1.3× 130 0.3× 140 3.0k
Fei Chen China 30 1.9k 1.1× 472 0.8× 245 0.5× 521 1.2× 128 0.3× 114 3.3k
Jingjing Wu China 33 1.6k 1.0× 841 1.4× 264 0.5× 675 1.6× 365 0.9× 146 3.4k
Zhihong Jian China 27 1.0k 0.6× 328 0.5× 344 0.7× 243 0.6× 184 0.5× 73 2.7k
Joo‐Won Jeong South Korea 27 1.6k 1.0× 1.1k 1.7× 221 0.4× 354 0.8× 169 0.4× 57 3.1k
Wangsen Cao China 36 2.1k 1.3× 401 0.7× 259 0.5× 230 0.5× 117 0.3× 70 3.4k
Michelle S. Johnson United States 32 2.0k 1.2× 543 0.9× 207 0.4× 290 0.7× 153 0.4× 59 3.7k

Countries citing papers authored by Ling Jing

Since Specialization
Citations

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

Fields of papers citing papers by Ling Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Jing. A scholar is included among the top collaborators of Ling Jing 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 Jing. Ling Jing 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.
Guo, Yuchen, Xiao Hu, Ling Jing, et al.. (2025). PTEN loss and ERBB2/ERBB3-mediated AKT reactivation drive resistance to MET inhibition in MET-amplified hepatocellular carcinoma. Cellular Oncology. 48(6). 1711–1724.
2.
Jing, Ling, Siying Wang, Chenhe Yi, et al.. (2025). PRMT1-mediated modification of H4R3me2a promotes liver cancer progression by enhancing the transcriptional activity of SOX18. Hepatology Communications. 9(4). 1 indexed citations
3.
Lin, Xiaotong, Xin Dong, Kunyuan Wang, et al.. (2024). Radiotherapy enhances the anti-tumor effect of CAR-NK cells for hepatocellular carcinoma. Journal of Translational Medicine. 22(1). 929–929. 16 indexed citations
4.
Yang, Jingyi, et al.. (2024). Advances in Drug Delivery Systems for Atopic Dermatitis Treatment. ChemBioChem. 26(8). e202400968–e202400968. 5 indexed citations
7.
Jing, Ling, Minqi Li, Huiqi Zhao, et al.. (2022). Association Between Circulating Cell-Free DNA Level at Admission and the Risk of Heart Failure Incidence in Acute Myocardial Infarction Patients. DNA and Cell Biology. 41(8). 742–749. 5 indexed citations
8.
Zhao, Xibao, Qianqian Di, Han Liu, et al.. (2022). MEF2C promotes M1 macrophage polarization and Th1 responses. Cellular and Molecular Immunology. 19(4). 540–553. 86 indexed citations
9.
Taleb, Iosif, Chris Stubben, Ling Jing, et al.. (2021). FGF21 (Fibroblast Growth Factor 21) Defines a Potential Cardiohepatic Signaling Circuit in End-Stage Heart Failure. Circulation Heart Failure. 15(3). e008910–e008910. 28 indexed citations
10.
Wang, Tong, Bo Jing, Dongliang Xu, et al.. (2020). PTGES/PGE2 signaling links immunosuppression and lung metastasis in Gprc5a-knockout mouse model. Oncogene. 39(15). 3179–3194. 56 indexed citations
11.
Jing, Ling, et al.. (2020). Case Report: An Infant with Severe Thrombocytopenia Diagnosed with Type 2B von Willebrand Disease Due To a De Novo p.Val1316Met Mutation. Turkish Journal of Hematology. 37(4). 296–298. 3 indexed citations
12.
Jing, Bo, Tong Wang, Beibei Sun, et al.. (2019). IL6/STAT3 Signaling Orchestrates Premetastatic Niche Formation and Immunosuppressive Traits in Lung. Cancer Research. 80(4). 784–797. 77 indexed citations
13.
Kuang, Yanbin, Wenzheng Guo, Ling Jing, et al.. (2019). Iron-dependent CDK1 activity promotes lung carcinogenesis via activation of the GP130/STAT3 signaling pathway. Cell Death and Disease. 10(4). 297–297. 46 indexed citations
14.
Song, No-Joon, Vanja Panic, Ui Jeong Yun, et al.. (2018). PI3Ka-Akt1-mediated Prdm4 induction in adipose tissue increases energy expenditure, inhibits weight gain, and improves insulin resistance in diet-induced obese mice. Cell Death and Disease. 9(9). 876–876. 19 indexed citations
15.
Liu, Jing, et al.. (2016). Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease. BMC Cardiovascular Disorders. 16(1). 54–54. 63 indexed citations
16.
Duan, Xiaoqin, Xiuyun Zhang, Ying Wang, et al.. (2014). Fluoride Affects Calcium Homeostasis and Osteogenic Transcription Factor Expressions Through L-type Calcium Channels in Osteoblast Cell Line. Biological Trace Element Research. 162(1-3). 219–226. 15 indexed citations
17.
Chan, Aubrey C., Stavros G. Drakos, Oscar E. Ruiz, et al.. (2011). Mutations in 2 distinct genetic pathways result in cerebral cavernous malformations in mice. Journal of Clinical Investigation. 121(5). 1871–1881. 100 indexed citations
19.
Meng, Zhuo‐Xian, Jia Nie, Ling Jing, et al.. (2008). Activation of liver X receptors inhibits pancreatic islet beta cell proliferation through cell cycle arrest. Diabetologia. 52(1). 125–135. 62 indexed citations
20.
Jing, Ling, Weimin Li, Lijun Zhou, et al.. (2008). Expression of Renin‐Angiotensin System and Peroxisome Proliferator‐Activated Receptors in Alcoholic Cardiomyopathy. Alcoholism Clinical and Experimental Research. 32(11). 1999–2007. 18 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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