Ming Ren

1.7k total citations
64 papers, 1.3k citations indexed

About

Ming Ren is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Ming Ren has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Cancer Research and 13 papers in Surgery. Recurrent topics in Ming Ren's work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (9 papers) and Bone and Joint Diseases (9 papers). Ming Ren is often cited by papers focused on MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (9 papers) and Bone and Joint Diseases (9 papers). Ming Ren collaborates with scholars based in China, South Korea and United States. Ming Ren's co-authors include Jincheng Wang, Ao Wang, Qiwei Yang, Chun‐yang Zhang, Qingyu Wang, Zhenwu Du, Guizhen Zhang, Yang Song, Gaoyang Chen and Bo Tang and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Ming Ren

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Ren China 19 632 317 271 207 177 64 1.3k
Xiaoqun Li China 22 979 1.5× 350 1.1× 254 0.9× 200 1.0× 254 1.4× 64 1.6k
Xinyu Qiu China 18 553 0.9× 164 0.5× 44 0.2× 182 0.9× 314 1.8× 53 1.4k
Siyu Shen China 14 547 0.9× 197 0.6× 47 0.2× 98 0.5× 250 1.4× 39 1.1k
Ramya Lakshmi Rajendran South Korea 22 1.2k 1.9× 542 1.7× 46 0.2× 168 0.8× 309 1.7× 81 2.1k
Ye Sun China 25 1.1k 1.8× 243 0.8× 117 0.4× 405 2.0× 516 2.9× 74 2.5k
Lijun Lin China 23 438 0.7× 321 1.0× 46 0.2× 280 1.4× 228 1.3× 56 1.3k
Xin Zhi China 19 551 0.9× 119 0.4× 167 0.6× 177 0.9× 223 1.3× 47 1.2k
Hui Lü China 18 290 0.5× 133 0.4× 161 0.6× 271 1.3× 62 0.4× 110 1.2k
Xiaorui Han China 26 934 1.5× 542 1.7× 65 0.2× 270 1.3× 144 0.8× 72 2.0k
Hongzhi Hu China 18 340 0.5× 186 0.6× 71 0.3× 279 1.3× 294 1.7× 64 1.1k

Countries citing papers authored by Ming Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ren. A scholar is included among the top collaborators of Ming Ren 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 Ming Ren. Ming Ren 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.
Wang, Lu, Zixu Gao, Ming Ren, et al.. (2024). Melanoma Derived Exosomes Amplify Radiotherapy Induced Abscopal Effect via IRF7/I‐IFN Axis in Macrophages. Advanced Science. 11(13). e2304991–e2304991. 17 indexed citations
2.
Zhu, Yu, Lu Wang, Zixu Gao, et al.. (2024). An advanced comprehensive muti-cell-type-specific model for predicting anti-PD-1 therapeutic effect in melanoma. Theranostics. 14(5). 2127–2150. 5 indexed citations
3.
Yang, Di, et al.. (2023). Construction of fracturing fluid with excellent proppant transport capacity using low molecular weight hydrophobic association polymer and surfactant. Journal of Molecular Liquids. 377. 121546–121546. 19 indexed citations
4.
Liu, Yujie, Ming Ren, Bo Song, & Ming Dong. (2023). A DFT study of toxic gases (NH3, C2H2, NO) adsorption and detection on metal oxides (CuO, Ag2O, In2O3) modified MoTe2 monolayer. Applied Surface Science. 622. 156858–156858. 79 indexed citations
5.
Wang, Zhenhua, et al.. (2023). A new multifractal-based deep learning model for text mining. Information Processing & Management. 61(1). 103561–103561. 12 indexed citations
6.
Wang, Zhenhua, Bin Wang, Ming Ren, & Dong Gao. (2023). A new hazard event classification model via deep learning and multifractal. Computers in Industry. 147. 103875–103875. 13 indexed citations
7.
Wang, Xianggang, Zhengyan Li, Zhonghan Wang, et al.. (2021). Incorporation of Bone Morphogenetic Protein-2 and Osteoprotegerin in 3D-Printed Ti6Al4V Scaffolds Enhances Osseointegration Under Osteoporotic Conditions. Frontiers in Bioengineering and Biotechnology. 9. 754205–754205. 24 indexed citations
8.
Wang, Kunyu, Tingting Li, Dandan Song, et al.. (2019). <p>Differential Diagnosis Of Multiple-System Atrophy With Parkinson’s Disease By External Anal- And Urethral-Sphincter Electromyography</p>. Neuropsychiatric Disease and Treatment. Volume 15. 3061–3067. 6 indexed citations
9.
Ren, Ming, et al.. (2019). Exosomal Circular RNA as a Biomarker Platform for the Early Diagnosis of Immune-Mediated Demyelinating Disease. Frontiers in Genetics. 10. 860–860. 41 indexed citations
11.
Wang, Qingyu, Qiwei Yang, Gaoyang Chen, et al.. (2018). LncRNA expression profiling of BMSCs in osteonecrosis of the femoral head associated with increased adipogenic and decreased osteogenic differentiation. Scientific Reports. 8(1). 9127–9127. 54 indexed citations
12.
Wang, Qingyu, Gaoyang Chen, Xin Li, et al.. (2018). Integration of Gene Expression Profile Data to Screen and Verify Hub Genes Involved in Osteoarthritis. BioMed Research International. 2018. 1–10. 27 indexed citations
13.
Song, Yang, Zhenwu Du, Bingpeng Chen, et al.. (2017). Association of SREBP2 gene polymorphisms with the risk of osteonecrosis of the femoral head relates to gene expression and lipid metabolism disorders. Molecular Medicine Reports. 16(5). 7145–7153. 17 indexed citations
14.
Yang, Qiwei, Zhenwu Du, Yang Song, et al.. (2017). Size-selective separation and overall-amplification of cell-free fetal DNA fragments using PCR-based enrichment. Scientific Reports. 7(1). 40936–40936. 15 indexed citations
15.
Song, Yang, Zhenwu Du, Qiwei Yang, et al.. (2016). Associations of IGFBP3 Gene Polymorphism and Gene Expression with the Risk of Osteonecrosis of the Femoral Head in a Han Population in Northern China. DNA and Cell Biology. 35(12). 836–844. 6 indexed citations
16.
Ren, Ming, et al.. (2016). The Broadband Dielectric Relaxation Properties of the Transformer Oil Based on SiO2 Nanoparticles Using Modified Havriliak-Negami Model. Diangong Jishu Xuebao. 31(7). 172. 1 indexed citations
17.
Ren, Ming. (2012). Discussion on the rational water content for restoring semi-shrub Artemisia in desert grassland. Ganhanqu ziyuan yu huanjing. 1 indexed citations
18.
Ren, Ming. (2004). Research of Multi-agent Cooperating Based on Federation Structure. Huadong Li-Gong Daxue xuebao. 3 indexed citations
19.
Ren, Ming. (2001). Maximum principle in optimal decisions. Journal of Hefei University of Technology. 1 indexed citations
20.
Ren, Ming. (2000). Probing faults activity by faults product gas measurement in Qiongbei area. 3 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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