Lun Dong

858 total citations
57 papers, 665 citations indexed

About

Lun Dong is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Lun Dong has authored 57 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 18 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in Lun Dong's work include Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Traumatic Brain Injury Research (8 papers) and MicroRNA in disease regulation (4 papers). Lun Dong is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Traumatic Brain Injury Research (8 papers) and MicroRNA in disease regulation (4 papers). Lun Dong collaborates with scholars based in China, United States and South Korea. Lun Dong's co-authors include Yuping Li, Hengzhu Zhang, Wanguo Hou, Shaojie Liu, Yan Li, Xingdong Wang, Lei She, Zhengcun Yan, Qifeng Yang and Min Wei and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lun Dong

54 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lun Dong China 15 253 165 102 92 83 57 665
Tetsuya Masada Japan 14 218 0.9× 198 1.2× 168 1.6× 50 0.5× 54 0.7× 41 891
Zhongying Gong China 17 298 1.2× 92 0.6× 48 0.5× 67 0.7× 48 0.6× 37 689
Be׳eri Niego Australia 18 239 0.9× 100 0.6× 179 1.8× 149 1.6× 53 0.6× 35 913
Yuxiang Han China 15 291 1.2× 56 0.3× 45 0.4× 79 0.9× 116 1.4× 38 690
Zhenhua Liu China 12 142 0.6× 59 0.4× 39 0.4× 68 0.7× 101 1.2× 19 473
Yongliang Cao China 11 452 1.8× 111 0.7× 130 1.3× 76 0.8× 97 1.2× 14 1.2k
Zhixiong Zhang China 16 262 1.0× 84 0.5× 24 0.2× 56 0.6× 81 1.0× 45 775
Linhao You China 16 313 1.2× 90 0.5× 45 0.4× 130 1.4× 47 0.6× 20 930
Pei‐Yi Wu Taiwan 15 297 1.2× 100 0.6× 44 0.4× 129 1.4× 71 0.9× 26 585
Hongwei Cheng China 14 196 0.8× 94 0.6× 49 0.5× 70 0.8× 51 0.6× 52 539

Countries citing papers authored by Lun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Lun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Lun Dong. A scholar is included among the top collaborators of Lun 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 Lun Dong. Lun 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
2.
Dong, Lun, Yuan Huang, Zhenyuan Zhang, et al.. (2024). Research on priority scheduling strategy for smoothing power fluctuations of microgrid tie‐lines based on PER‐DDPG algorithm. IET Generation Transmission & Distribution. 18(20). 3221–3233. 1 indexed citations
3.
Dong, Lun, et al.. (2024). The prognostic genes model of breast cancer drug resistance based on single-cell sequencing analysis and transcriptome analysis. Clinical and Experimental Medicine. 24(1). 113–113. 1 indexed citations
4.
Dong, Lun, et al.. (2024). Temporal muscle thickness is not a prognostic predictor in patients with high-grade glioma, an experience at two centers in China. Open Medicine. 19(1). 20241053–20241053. 1 indexed citations
5.
Liu, Qiuhong, Hao Yang, Yanrong Chen, et al.. (2024). Effect of thyroid peroxidase antibody titers trajectories during pregnancy and postpartum on postpartum thyroid dysfunction. Archives of Gynecology and Obstetrics. 310(6). 3229–3238.
6.
Chen, Peng, et al.. (2024). Abnormalities of cortical and subcortical spontaneous brain activity unveil mechanisms of disorders of consciousness and prognosis in patients with severe traumatic brain injury. International Journal of Clinical and Health Psychology. 24(4). 100528–100528. 2 indexed citations
7.
Liu, Jiamei, Fucheng Gao, Li Zhao, et al.. (2023). Mn-CDs with oxidase activity produces ROS to inhibit cell activity. Ceramics International. 49(15). 25253–25260. 9 indexed citations
8.
Zhang, Hongying, et al.. (2022). Circular RNA circRNA_0067934 promotes glioma development by modulating the microRNA miR-7/ Wnt/β-catenin axis. Bioengineered. 13(3). 5792–5802. 16 indexed citations
9.
Tang, Xiaojia, et al.. (2022). The diagnostic and prognostic value of glial fibrillary acidic protein in traumatic brain injury: a systematic review and meta-analysis. European Journal of Trauma and Emergency Surgery. 49(3). 1235–1246. 11 indexed citations
10.
Zhang, Jun, Hongying Zhang, Hengzhu Zhang, et al.. (2022). Aberrant brain functional hubs convergence in the acute severe traumatic brain injury patients with rapidly recovering. Neuroradiology. 65(1). 145–155. 4 indexed citations
11.
Zhang, Jun, Hongying Zhang, Hengzhu Zhang, et al.. (2022). Investigating the mechanism and prognosis of patients with disorders of consciousness on the basis of brain networks between the thalamus and whole-brain. Frontiers in Neurology. 13. 990686–990686. 11 indexed citations
12.
Chen, Yanrong, Lun Dong, Qiuhong Liu, et al.. (2022). Vitamin D categories and postpartum thyroid function in women with hypothyroidism. Frontiers in Nutrition. 9. 953745–953745. 3 indexed citations
13.
Li, Yuping, Jun Zhang, Haili Wang, et al.. (2022). Does erythropoietin affect the outcome and complication rates of patient with traumatic brain injury? A pooled-analysis. Neurological Sciences. 43(6). 3783–3793. 3 indexed citations
14.
Zhang, Peng, Yuping Li, Jun Zhang, et al.. (2020). Risk factors analysis and a nomogram model establishment for late postoperative seizures in patients with meningioma. Journal of Clinical Neuroscience. 80. 310–317. 7 indexed citations
15.
Dong, Lun, Fanyan Meng, Ling Wu, et al.. (2017). Cooperative oncogenic effect and cell signaling crosstalk of co-occurring HER2 and mutant PIK3CA in mammary epithelial cells. International Journal of Oncology. 51(4). 1320–1330. 4 indexed citations
16.
Zhang, Hengzhu, Min Wei, Yangyang Jiang, et al.. (2016). Reprogramming A375 cells to induced-resembled neuronal cells by structured overexpression of specific transcription genes. Molecular Medicine Reports. 14(4). 3134–3144. 1 indexed citations
17.
She, Lei, et al.. (2014). A Rare Case of Penetrating Brain Injury by Crossbow in a 22-Month-Old Child. Pediatric Emergency Care. 30(6). 421–423. 14 indexed citations
18.
Zhang, Hengzhu, Yuhua Huang, Lei She, et al.. (2014). Characterization of pituitary tumor transforming gene in meningiomas. Clinical Neurology and Neurosurgery. 122. 120–123. 2 indexed citations
19.
Dong, Lun. (2011). Long noncoding RNA and tumor. 38(5). 349–352. 1 indexed citations
20.
Dong, Lun, Yi Qu, Hua Jiang, et al.. (2010). Correlation of complement factor H gene polymorphisms with exudative age-related macular degeneration in a Chinese cohort. Neuroscience Letters. 488(3). 283–287. 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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