Jing Liang

10.0k total citations · 3 hit papers
124 papers, 7.2k citations indexed

About

Jing Liang is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jing Liang has authored 124 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 21 papers in Genetics and 16 papers in Oncology. Recurrent topics in Jing Liang's work include Epigenetics and DNA Methylation (18 papers), Genomics and Chromatin Dynamics (16 papers) and RNA modifications and cancer (11 papers). Jing Liang is often cited by papers focused on Epigenetics and DNA Methylation (18 papers), Genomics and Chromatin Dynamics (16 papers) and RNA modifications and cancer (11 papers). Jing Liang collaborates with scholars based in China, United States and Ethiopia. Jing Liang's co-authors include Yongfeng Shang, Luyang Sun, Xiaohan Yang, Yi Li, Shu-Qun Liu, Yuan-Ling Xia, Xinglai Ji, Xing Du, Peng Sang and Xia Yi and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jing Liang

119 papers receiving 7.2k citations

Hit Papers

Insights into Protein–Ligand Interactions: Mechanis... 2009 2026 2014 2020 2016 2009 2025 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Liang China 41 5.0k 1.2k 967 773 753 124 7.2k
Sunil C. Kaul Japan 57 6.3k 1.3× 1.3k 1.1× 705 0.7× 637 0.8× 616 0.8× 284 10.3k
Zichun Hua China 43 3.8k 0.8× 937 0.8× 869 0.9× 565 0.7× 1.1k 1.4× 300 7.6k
Renu Wadhwa Japan 57 6.5k 1.3× 1.4k 1.1× 749 0.8× 559 0.7× 500 0.7× 286 10.4k
Bob van de Water Netherlands 48 4.7k 0.9× 1.5k 1.2× 1.3k 1.3× 511 0.7× 709 0.9× 224 8.2k
Udo Oppermann United Kingdom 65 8.8k 1.8× 1.7k 1.4× 1.0k 1.1× 1.2k 1.5× 706 0.9× 241 13.8k
François M. Vallette France 51 5.7k 1.2× 1.3k 1.1× 1.5k 1.5× 428 0.6× 864 1.1× 178 9.2k
Magnar Bjørås Norway 49 8.5k 1.7× 842 0.7× 1.3k 1.3× 1.1k 1.5× 430 0.6× 233 11.2k
Jun Zhou China 46 4.8k 1.0× 1.7k 1.4× 726 0.8× 535 0.7× 539 0.7× 190 6.8k
Feng Liu China 44 3.9k 0.8× 1.1k 0.9× 711 0.7× 402 0.5× 708 0.9× 221 6.8k
Fraydoon Rastinejad United States 41 4.9k 1.0× 1.0k 0.8× 619 0.6× 1.9k 2.5× 1.3k 1.7× 69 8.0k

Countries citing papers authored by Jing Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Liang. A scholar is included among the top collaborators of Jing Liang 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 Jing Liang. Jing Liang 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.
Zhu, Shengyun, Peipei Shi, Haizhou Li, et al.. (2025). NLRP3 Deficiency in Macrophages Ameliorates Gut Inflammation and Augments Treg Population In Vivo and In Vitro. Journal of Biochemical and Molecular Toxicology. 39(7). e70382–e70382.
2.
Wang, Yue & Jing Liang. (2024). Pioneer factors for DNA replication initiation in metazoans. BioEssays. 46(9). e2400002–e2400002.
3.
Chen, Dong, et al.. (2023). DNA walker-powered SERS logic aptasensors for accurate imaging and identification of tumor cells. Sensors and Actuators B Chemical. 401. 134922–134922. 13 indexed citations
4.
Chen, Yang, Chiyuan Ma, Jing Liang, et al.. (2023). Simulated microgravity reduces quality of ovarian follicles and oocytes by disrupting communications of follicle cells. npj Microgravity. 9(1). 7–7. 15 indexed citations
5.
Liu, Yuncheng, Peng Yuan, Wei Du, et al.. (2023). PD-L1-mediated immune evasion in triple-negative breast cancer is linked to the loss of ZNF652. Cell Reports. 42(11). 113343–113343. 13 indexed citations
6.
Yang, Yueying, Man Zhu, Jing Liang, et al.. (2022). SIRT6 mediates multidimensional modulation to maintain organism homeostasis. Journal of Cellular Physiology. 237(8). 3205–3221. 6 indexed citations
7.
Geng, Guangfeng, Zefeng Xu, Nan Peng, et al.. (2021). PTBP1 is necessary for dendritic cells to regulate T‐cell homeostasis and antitumour immunity. Immunology. 163(1). 74–85. 20 indexed citations
8.
Zhang, Zihan, Xiaoping Liu, Lei Li, et al.. (2021). SNP rs4971059 predisposes to breast carcinogenesis and chemoresistance via TRIM46‐mediated HDAC1 degradation. The EMBO Journal. 40(19). e107974–e107974. 21 indexed citations
9.
He, Lin, Ruorong Yan, Yue Zhang, et al.. (2021). SCF JFK is functionally linked to obesity and metabolic syndrome. EMBO Reports. 22(7). e52036–e52036. 4 indexed citations
10.
Zhu, Shengyun, Jing Liang, Feng Zhu, et al.. (2021). The effects of myeloablative or non-myeloablative total body irradiations on intestinal tract in mice. Bioscience Reports. 41(3). 9 indexed citations
11.
Yang, Pengyuan, et al.. (2020). MicroRNA-28-5p regulates glioma cell proliferation, invasion and migration by targeting SphK1. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Liang, Jing & Dan Chen. (2019). Advances in research on the anticancer mechanism of the natural compound cucurbitacin from Cucurbitaceae plants: a review. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Liang, Jing, et al.. (2019). Current Advances on Structure-Function Relationships of Pyridoxal 5′-Phosphate-Dependent Enzymes. Frontiers in Molecular Biosciences. 6. 4–4. 133 indexed citations
14.
Wu, Chong, Mingyu Liu, Jie Lin, et al.. (2018). Spleen mediates a distinct hematopoietic progenitor response supporting tumor-promoting myelopoiesis. Journal of Clinical Investigation. 128(8). 3425–3438. 122 indexed citations
15.
Xu, Nannan, Nannan Xu, Ning Xu, et al.. (2018). Minireview: Recent Advances in Surface-Enhanced Raman Scattering-Based Nucleic Acid Detection with Application to Pathogen Diagnosis. Analytical Letters. 51(12). 1809–1825. 4 indexed citations
16.
Zhang, Tian, Ligang Wang, Ligang Wang, et al.. (2016). Hritabilities and genetic and phenotypic correlations of litter uniformity and litter size in Large White sows. Journal of Integrative Agriculture. 15(4). 848–854. 35 indexed citations
17.
Yang, Donghui, Xin Zhao, Feng Xu, et al.. (2015). Metabolism of Chuanxiong Rhizoma decoction: Identification of the metabolites in WZS-miniature pig urine. Fitoterapia. 105. 177–186. 10 indexed citations
18.
Gui, Bin, Xiao Han, Yu Zhang, et al.. (2012). Dimerization of ZIP promotes its transcriptional repressive function and biological activity. The International Journal of Biochemistry & Cell Biology. 44(6). 886–895. 6 indexed citations
19.
Liang, Jing. (2011). TACE Combined with Autologous CIK Cells Treatment on Hepatocellular Carcinoma. 1 indexed citations
20.
Sun, Luyang, Lei Shi, Wenqian Li, et al.. (2009). JFK, a Kelch domain-containing F-box protein, links the SCF complex to p53 regulation. Proceedings of the National Academy of Sciences. 106(25). 10195–10200. 71 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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