Mingjun Dong

654 total citations
23 papers, 471 citations indexed

About

Mingjun Dong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mingjun Dong has authored 23 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Mingjun Dong's work include Sphingolipid Metabolism and Signaling (3 papers), Cancer-related molecular mechanisms research (3 papers) and Extracellular vesicles in disease (2 papers). Mingjun Dong is often cited by papers focused on Sphingolipid Metabolism and Signaling (3 papers), Cancer-related molecular mechanisms research (3 papers) and Extracellular vesicles in disease (2 papers). Mingjun Dong collaborates with scholars based in China and United States. Mingjun Dong's co-authors include Yangyang Xie, Xiaoyu Dai, Yidong Xu, Hua Yu, Juan Xiao, Junfei Jin, Keqiang Li, Jianwei Wang, Jinhui Zhu and Tian Sun and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and RSC Advances.

In The Last Decade

Mingjun Dong

23 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjun Dong China 12 280 170 79 61 41 23 471
Shiduo Song China 15 308 1.1× 159 0.9× 101 1.3× 47 0.8× 31 0.8× 27 534
Lijuan He China 14 339 1.2× 136 0.8× 107 1.4× 74 1.2× 28 0.7× 47 669
Yunzhi Pan China 13 320 1.1× 159 0.9× 117 1.5× 52 0.9× 58 1.4× 30 543
Songbai Liu China 16 471 1.7× 121 0.7× 121 1.5× 44 0.7× 60 1.5× 74 755
Huayi Li China 13 384 1.4× 165 1.0× 86 1.1× 52 0.9× 84 2.0× 17 546
Linping Hu China 14 303 1.1× 71 0.4× 61 0.8× 61 1.0× 43 1.0× 29 589
Long Zhao China 14 424 1.5× 215 1.3× 88 1.1× 81 1.3× 91 2.2× 40 650
Jianwen Chen China 11 174 0.6× 94 0.6× 95 1.2× 69 1.1× 32 0.8× 21 360

Countries citing papers authored by Mingjun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjun Dong. A scholar is included among the top collaborators of Mingjun 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 Mingjun Dong. Mingjun 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.
Dong, Mingjun, et al.. (2022). Comprehensive bioinformatic analysis of MMP1 in hepatocellular carcinoma and establishment of relevant prognostic model. Scientific Reports. 12(1). 13639–13639. 13 indexed citations
2.
Dai, Xiaoyu, Yangyang Xie, & Mingjun Dong. (2022). Cancer-associated fibroblasts derived extracellular vesicles promote angiogenesis of colorectal adenocarcinoma cells through miR-135b-5p/FOXO1 axis. Cancer Biology & Therapy. 23(1). 76–88. 58 indexed citations
3.
Teng, Rongyue, Qun Wei, Jichun Zhou, et al.. (2021). The influence of preoperative biopsy on the surgical method in breast cancer patients: a single-center experience of 3,966 cases in China. Gland Surgery. 10(3). 1038–1045. 5 indexed citations
4.
Ng, Derry Minyao, Nannan Du, Ning He, et al.. (2020). HIFU for the treatment of difficult colorectal liver metastases with unsuitable indications for resection and radiofrequency ablation: a phase I clinical trial. Surgical Endoscopy. 35(5). 2306–2315. 21 indexed citations
5.
Cai, Ping, Yangyang Xie, Mingjun Dong, & Qiaoqiao Zhu. (2020). Inhibition of MEIS3 Generates Cetuximab Resistance through c‐Met and Akt. BioMed Research International. 2020(1). 2046248–2046248. 2 indexed citations
6.
7.
Xiao, Juan, et al.. (2019). Serum AKR1B10 predicts the risk of hepatocellular carcinoma – A retrospective single-center study. Gastroenterología y Hepatología. 42(10). 614–621. 10 indexed citations
8.
Xu, Yidong, et al.. (2019). High expression of CDH3 predicts a good prognosis for colon adenocarcinoma patients. Experimental and Therapeutic Medicine. 18(1). 841–847. 11 indexed citations
9.
Dong, Mingjun, Yangyang Xie, & Yidong Xu. (2019). miR‑7‑5p regulates the proliferation and migration of colorectal cancer cells by negatively regulating the expression of Kr�ppel‑like factor 4. Oncology Letters. 17(3). 3241–3246. 38 indexed citations
10.
Dong, Mingjun, et al.. (2019). Serum sphingosine 1-phosphate in hepatocellular carcinoma patients is related to HBV infection.. PubMed. 23(6). 1711–1716. 6 indexed citations
11.
Liao, Weijia, Mingjun Dong, Juan Xiao, et al.. (2018). Exosomal neutral sphingomyelinase 1 suppresses hepatocellular carcinoma via decreasing the ratio of sphingomyelin/ceramide. FEBS Journal. 285(20). 3835–3848. 37 indexed citations
12.
Wang, Qinchuan, Xiang Shu, Jichun Zhou, et al.. (2017). Tumor and serum gamma-glutamyl transpeptidase, new prognostic and molecular interpretation of an old biomarker in gastric cancer. Oncotarget. 8(22). 36171–36184. 41 indexed citations
13.
Dai, Xiaoyu, Mingjun Dong, Hua Yu, et al.. (2017). Knockdown of TCTN1 Strongly Decreases Growth of Human Colon Cancer Cells. Medical Science Monitor. 23. 452–461. 10 indexed citations
14.
Yu, Hua, Huiqin Zhang, Mingjun Dong, et al.. (2016). Metabolic reprogramming and AMPKα1 pathway activation by caulerpin in colorectal cancer cells. International Journal of Oncology. 50(1). 161–172. 45 indexed citations
15.
Dong, Mingjun, et al.. (2016). A Holistic <i>In silico</i> Approach to Develop Novel Inhibitors Targeting ErbB1 and ErbB2 Kinases. Tropical Journal of Pharmaceutical Research. 15(2). 231–231. 6 indexed citations
16.
Dong, Mingjun, et al.. (2015). Arginyl-glutamine dipeptide attenuates experimental colitis by enhancing antioxidant function and inhibiting nuclear factor-kappaB. RSC Advances. 5(112). 92008–92016. 5 indexed citations
17.
Wang, Jianwei, Jinhui Zhu, Mingjun Dong, et al.. (2014). Knockdown of Tripartite Motif Containing 24 by Lentivirus Suppresses Cell Growth and Induces Apoptosis in Human Colorectal Cancer Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 22(1). 39–45. 39 indexed citations
18.
Garczarek, Florian, Mingjun Dong, Dieter Typke, et al.. (2007). Octomeric pyruvate-ferredoxin oxidoreductase from Desulfovibrio vulgaris. Journal of Structural Biology. 159(1). 9–18. 15 indexed citations
19.
Dong, Mingjun, Jie Shen, Benjamin M. Wu, et al.. (2006). Tilmicosin and tylosin have anti-inflammatory properties via modulation of COX-2 and iNOS gene expression and production of cytokines in LPS-induced macrophages and monocytes. International Journal of Antimicrobial Agents. 27(5). 431–438. 52 indexed citations
20.
Li, Chenghua, Teresa L. Wright, Mingjun Dong, et al.. (2005). Biological role of glutathione in nitric oxide-induced toxicity in cell culture and animal models. Free Radical Biology and Medicine. 39(11). 1489–1498. 20 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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