Jing‐Min Lu

866 total citations
20 papers, 734 citations indexed

About

Jing‐Min Lu is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jing‐Min Lu has authored 20 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Cancer Research and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jing‐Min Lu's work include MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (8 papers) and Cancer-related molecular mechanisms research (5 papers). Jing‐Min Lu is often cited by papers focused on MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (8 papers) and Cancer-related molecular mechanisms research (5 papers). Jing‐Min Lu collaborates with scholars based in China, Australia and South Africa. Jing‐Min Lu's co-authors include Xianjin Du, Zhiqiang Zhao, Ting Lu, Xiangyang Cao, Liujun Xue, Mingchao Li, Jing Shi, Lijuan Ji, Zun‐Ping Ke and Xuetao Yan and has published in prestigious journals such as Journal of Cellular Physiology, Metabolism and Journal of Cellular Biochemistry.

In The Last Decade

Jing‐Min Lu

20 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐Min Lu China 14 457 370 160 99 68 20 734
Huihui Li China 17 405 0.9× 90 0.2× 226 1.4× 68 0.7× 82 1.2× 31 1.0k
Caterina Visconte Italy 14 299 0.7× 139 0.4× 178 1.1× 34 0.3× 67 1.0× 25 653
Haiqian Liang China 14 809 1.8× 693 1.9× 75 0.5× 28 0.3× 39 0.6× 22 1.1k
Jianhua Su China 12 282 0.6× 181 0.5× 63 0.4× 88 0.9× 29 0.4× 32 536
Shao-Ling Wu China 12 261 0.6× 81 0.2× 233 1.5× 126 1.3× 45 0.7× 18 544
Nicholas Beazley‐Long United Kingdom 12 286 0.6× 99 0.3× 152 0.9× 80 0.8× 30 0.4× 19 562
Chengcheng Cui China 13 495 1.1× 251 0.7× 45 0.3× 86 0.9× 62 0.9× 21 870
Subo Zhang China 13 263 0.6× 83 0.2× 197 1.2× 78 0.8× 40 0.6× 24 521
PhilipV Peplow New Zealand 12 261 0.6× 188 0.5× 51 0.3× 50 0.5× 23 0.3× 14 440
Ya Lv China 10 307 0.7× 175 0.5× 40 0.3× 50 0.5× 102 1.5× 13 568

Countries citing papers authored by Jing‐Min Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Min Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Min Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Min Lu. A scholar is included among the top collaborators of Jing‐Min Lu 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‐Min Lu. Jing‐Min Lu 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.
Lu, Jing‐Min, et al.. (2025). Highly reflective metal industrial parts surface detection with polarization vision and modified YOLO. Digital Signal Processing. 163. 105238–105238. 1 indexed citations
2.
Shen, Jun, Qiu Han, Wangjun Li, et al.. (2022). miR-383-5p Regulated by the Transcription Factor CTCF Affects Neuronal Impairment in Cerebral Ischemia by Mediating Deacetylase HDAC9 Activity. Molecular Neurobiology. 59(10). 6307–6320. 6 indexed citations
3.
Chen, Xiaochang, Wangjun Li, Qiu Han, et al.. (2020). Identification of Parkinson’s disease-related pathways and potential risk factors. Journal of International Medical Research. 48(10). 1220756749–1220756749. 13 indexed citations
4.
Yan, Xuetao, Jing‐Min Lu, Yu Wang, et al.. (2018). XIST accelerates neuropathic pain progression through regulation of miR‐150 and ZEB1 in CCI rat models. Journal of Cellular Physiology. 233(8). 6098–6106. 54 indexed citations
5.
Liu, Cuifang, et al.. (2018). MiR-21 attenuates apoptosis-triggered by amyloid-β via modulating PDCD4/ PI3K/AKT/GSK-3β pathway in SH-SY5Y cells. Biomedicine & Pharmacotherapy. 101. 1003–1007. 67 indexed citations
6.
Du, Xianjin & Jing‐Min Lu. (2018). MiR‐135a represses oxidative stress and vascular inflammatory events via targeting toll‐like receptor 4 in atherogenesis. Journal of Cellular Biochemistry. 119(7). 6154–6161. 26 indexed citations
7.
He, Jun‐Min, et al.. (2018). Jun, Gal, Cd74, and C1qb as potential indicator for neuropathic pain. Journal of Cellular Biochemistry. 119(6). 4792–4798. 18 indexed citations
8.
Tian, Dan, et al.. (2018). MiR‐370 inhibits vascular inflammation and oxidative stress triggered by oxidized low‐density lipoprotein through targeting TLR4. Journal of Cellular Biochemistry. 119(7). 6231–6237. 30 indexed citations
9.
Du, Xianjin, et al.. (2018). MiR‐181a inhibits vascular inflammation induced by ox‐LDL via targeting TLR4 in human macrophages. Journal of Cellular Physiology. 233(10). 6996–7003. 29 indexed citations
10.
Chen, Jing, et al.. (2018). MicroRNA expression data analysis to identify key miRNAs associated with Alzheimer's disease. The Journal of Gene Medicine. 20(6). e3014–e3014. 60 indexed citations
11.
Cao, Xiangyang, Jing‐Min Lu, Zhiqiang Zhao, et al.. (2017). MicroRNA biomarkers of Parkinson’s disease in serum exosome-like microvesicles. Neuroscience Letters. 644. 94–99. 179 indexed citations
12.
Yan, Xuetao, Lijuan Ji, Quan Wang, et al.. (2017). MicroRNA-93 alleviates neuropathic pain through targeting signal transducer and activator of transcription 3. International Immunopharmacology. 46. 156–162. 60 indexed citations
13.
Ji, Lijuan, et al.. (2017). MiR‐150 alleviates neuropathic pain via inhibiting toll‐like receptor 5. Journal of Cellular Biochemistry. 119(1). 1017–1026. 50 indexed citations
14.
Liu, Gang, et al.. (2017). Prognostic value of DNA repair genes based on stratification of glioblastomas. Oncotarget. 8(35). 58222–58230. 15 indexed citations
15.
Sun, Guan, Jing‐Min Lu, Chuang Zhang, et al.. (2017). MiR-29b inhibits the growth of glioma via MYCN dependent way. Oncotarget. 8(28). 45224–45233. 13 indexed citations
16.
Lu, Jing‐Min, et al.. (2017). MiR‐182‐5p inhibited oxidative stress and apoptosis triggered by oxidized low‐density lipoprotein via targeting toll‐like receptor 4. Journal of Cellular Physiology. 233(10). 6630–6637. 60 indexed citations
17.
Ai, Zhibing, Longti Li, Rui Fu, et al.. (2017). Integrated Cox’s model for predicting survival time of glioblastoma multiforme. Tumor Biology. 39(4). 3726131057–3726131057. 4 indexed citations
18.
Shen, Zhigang, et al.. (2017). Knockdown of E2F3 Inhibits Proliferation, Migration, and Invasion and Increases Apoptosis in Glioma Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 25(9). 1555–1566. 13 indexed citations
19.
Feng, Mei, Jing‐Min Lu, Brian H. May, et al.. (2016). Chinese herbal medicine for patients with vascular cognitive impairment no dementia: protocol for a systematic review. BMJ Open. 6(3). e010295–e010295. 7 indexed citations
20.
Neuhouser, Marian L., Barbara V. Howard, Jing‐Min Lu, et al.. (2012). A low-fat dietary pattern and risk of metabolic syndrome in postmenopausal women: The Women's Health Initiative. Metabolism. 61(11). 1572–1581. 29 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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