Jing Dong

8.7k total citations · 1 hit paper
128 papers, 4.7k citations indexed

About

Jing Dong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing Dong has authored 128 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 41 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Jing Dong's work include Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (19 papers) and RNA modifications and cancer (17 papers). Jing Dong is often cited by papers focused on Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (19 papers) and RNA modifications and cancer (17 papers). Jing Dong collaborates with scholars based in China, United States and Australia. Jing Dong's co-authors include Peter Thomas, Edward J. Filardo, Yefei Pang, Zhibin Hu, Hongbing Shen, Juncheng Dai, Aaron P. Thrift, Hongxia Ma, Guangfu Jin and Xinru Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jing Dong

121 papers receiving 4.6k citations

Hit Papers

Identity of an Estrogen Membrane Receptor Coupled to a G ... 2004 2026 2011 2018 2004 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identity of an Estrogen Membrane Receptor Coupled to a G Protein in Human Breast Cancer Cells
    2004 1.1k citations Peter Thomas, Yefei Pang et al. Endocrinology profile →

Peers

Jing Dong
Jason Matthews Canada
Paolo Ciana Italy
Venkatesh Krishnan United States
Hui Gao China
Saveria Aquila Italy
Martijn E.T. Dollé Netherlands
Masahide Ohmichi Japan
Kara L. Britt Australia
Junn Yanagisawa Japan
Hong‐Yo Kang Taiwan
Jason Matthews Canada
Jing Dong
Citations per year, relative to Jing Dong Jing Dong (= 1×) peers Jason Matthews

Countries citing papers authored by Jing Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jing Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Dong. A scholar is included among the top collaborators of Jing Dong 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 Dong. Jing Dong 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.
Yuan, Hong, Jing Dong, Zhengyu Hu, et al.. (2025). Single- and multiple-locus model genome-wide association study for growth traits in Dongliao black pigs. Animal Bioscience. 38(11). 2312–2323.
2.
Dong, Jing, Ding Yang, Lin Li, et al.. (2025). Cardiosplenic axis-targeted immunomodulatory liposome for myocardial ischemia-reperfusion injury treatment. Journal of Controlled Release. 383. 113799–113799. 4 indexed citations
3.
Zhang, Jiaqi, Jing Dong, Yaqi Cui, et al.. (2024). Identification and functional analysis of DNA methylation-related enzyme gene family in Eleutherococcus senticosus. Industrial Crops and Products. 213. 118412–118412. 4 indexed citations
4.
Qu, Huiyan, et al.. (2024). Extreme temperature events, functional dependency, and cardiometabolic multimorbidity: Insights from a national cohort study in China. Ecotoxicology and Environmental Safety. 284. 117013–117013. 5 indexed citations
5.
Li, Jianrong, Shahram Arsang‐Jang, Yan Cheng, et al.. (2024). Enhancing prognostic power in multiple myeloma using a plasma cell signature derived from single-cell RNA sequencing. Blood Cancer Journal. 14(1). 38–38. 4 indexed citations
6.
Dong, Jing, Ruixue Song, Yingchao Wang, et al.. (2024). Identification of important modules and biomarkers in tuberculosis based on WGCNA. Frontiers in Microbiology. 15. 1354190–1354190. 2 indexed citations
7.
8.
Chang, Jing, Jingxin Wang, Beibei Luo, et al.. (2023). Vitamin E stabilizes iron and mitochondrial metabolism in pulmonary fibrosis. Frontiers in Pharmacology. 14. 1240829–1240829. 7 indexed citations
9.
Portuguese, Andrew J., Rahul Banerjee, Anikó Szabó, et al.. (2023). Chimeric antigen receptor and bispecific T‐cell engager therapies in multiple myeloma patients with prior allogeneic transplantation. British Journal of Haematology. 204(3). 887–891. 3 indexed citations
10.
Chen, Yushan, et al.. (2023). The potential role of ribonucleic acid methylation in the pathological mechanisms of fragile X syndrome. Behavioural Brain Research. 452. 114586–114586. 4 indexed citations
11.
Dong, Jing, Emma Garacci, Anita D’Souza, et al.. (2022). Black patients with multiple myeloma have better survival than white patients when treated equally: a matched cohort study. Blood Cancer Journal. 12(2). 34–34. 25 indexed citations
12.
Yuan, Yunfeng, Xin Bu, Jing Dong, et al.. (2022). [NDRG2 inhibits tumorigenesis of hepatocellular carcinoma by regulating metabolism of phospholipids and triglyceride: a metabonomic analysis].. PubMed. 42(12). 1765–1773. 1 indexed citations
13.
Chaikuad, A., Allison S. Limpert, Lester J. Lambert, et al.. (2021). Inhibitors of the Hippo Pathway Kinases STK3/MST2 and STK4/MST1 Have Utility for the Treatment of Acute Myeloid Leukemia. Journal of Medicinal Chemistry. 65(2). 1352–1369. 23 indexed citations
14.
15.
Xia, Chunlei, Peng Chu, Yixian Liu, et al.. (2019). ALDH2 rs671 polymorphism and the risk of heart failure with preserved ejection fraction (HFpEF) in patients with cardiovascular diseases. Journal of Human Hypertension. 34(1). 16–23. 18 indexed citations
16.
Sun, Yang, Youxin Wang, Jie Zhang, et al.. (2016). [Comparison of gender specific structure profiles of immunoglobulin G N-glycans].. PubMed. 37(10). 1409–1412. 1 indexed citations
17.
Ma, Hongxia, Huizhang Li, Guangfu Jin, et al.. (2012). Genetic Variants at 14q24.1 and Breast Cancer Susceptibility: a Fine-Mapping Study in Chinese Women. DNA and Cell Biology. 31(6). 1114–1120. 2 indexed citations
18.
Zhao, Chun, Jing Dong, Tao Jiang, et al.. (2011). Early Second-Trimester Serum MiRNA Profiling Predicts Gestational Diabetes Mellitus. PLoS ONE. 6(8). e23925–e23925. 196 indexed citations
19.
Hu, Zhibin, Yongqian Shu, Yijiang Chen, et al.. (2010). Genetic Polymorphisms in the Precursor MicroRNA Flanking Region and Non–Small Cell Lung Cancer Survival. American Journal of Respiratory and Critical Care Medicine. 183(5). 641–648. 45 indexed citations
20.
Thomas, Peter, Yefei Pang, Edward J. Filardo, & Jing Dong. (2004). Identity of an Estrogen Membrane Receptor Coupled to a G Protein in Human Breast Cancer Cells. Endocrinology. 146(2). 624–632. 1143 indexed citations breakdown →

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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