Cong Meng

1.3k total citations
47 papers, 944 citations indexed

About

Cong Meng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Cong Meng has authored 47 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Surgery. Recurrent topics in Cong Meng's work include Nerve injury and regeneration (10 papers), Extracellular vesicles in disease (8 papers) and Colorectal Cancer Surgical Treatments (5 papers). Cong Meng is often cited by papers focused on Nerve injury and regeneration (10 papers), Extracellular vesicles in disease (8 papers) and Colorectal Cancer Surgical Treatments (5 papers). Cong Meng collaborates with scholars based in China, United States and Belarus. Cong Meng's co-authors include Beiyan Zhou, Guoqing Zhuang, Stephen Safe, Patali S. Cheruku, Hang Xu, Chaodong Wu, Honggui Li, Xin Guo, Lei Shi and Gang Wang and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Cong Meng

42 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Meng China 14 471 296 154 133 97 47 944
Yong Fang China 18 502 1.1× 159 0.5× 149 1.0× 67 0.5× 106 1.1× 35 1.0k
Jun Chang China 21 550 1.2× 318 1.1× 103 0.7× 73 0.5× 103 1.1× 73 1.2k
Birgit Lohberger Austria 22 682 1.4× 184 0.6× 95 0.6× 73 0.5× 80 0.8× 81 1.5k
Ki‐Chul Hwang South Korea 21 612 1.3× 368 1.2× 123 0.8× 51 0.4× 69 0.7× 45 1.2k
Ximin Hu China 19 642 1.4× 120 0.4× 205 1.3× 54 0.4× 89 0.9× 39 1.1k
Eunhyun Choi South Korea 20 628 1.3× 302 1.0× 61 0.4× 42 0.3× 72 0.7× 42 1.1k
Xiaojun Xu China 18 416 0.9× 132 0.4× 189 1.2× 45 0.3× 68 0.7× 65 1.1k
Xiaodan Jiang China 18 327 0.7× 150 0.5× 302 2.0× 49 0.4× 72 0.7× 51 924
Wenliang Wu China 18 632 1.3× 326 1.1× 111 0.7× 57 0.4× 55 0.6× 43 1.1k
Qilin Huang China 22 803 1.7× 360 1.2× 236 1.5× 51 0.4× 80 0.8× 60 1.4k

Countries citing papers authored by Cong Meng

Since Specialization
Citations

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

Fields of papers citing papers by Cong Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Meng. A scholar is included among the top collaborators of Cong Meng 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 Cong Meng. Cong Meng 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.
Meng, Cong, Bo Liu, Xianhao Fan, et al.. (2025). A Preprocessing Method for Insulation Pull Rod Defect Dataset Based on the YOLOv5s Object Detection Network. Sensors. 25(4). 1209–1209.
2.
Yang, Huijuan, Qin Wang, Hong‐Long Ji, et al.. (2025). Mesenchymal stem cells and their extracellular vesicles: new therapies for cartilage repair. Frontiers in Bioengineering and Biotechnology. 13. 1591400–1591400. 3 indexed citations
3.
Yang, Zhengyang, Jiagang Han, Ang Li, et al.. (2024). Gut microbiome model predicts response to neoadjuvant immunotherapy plus chemoradiotherapy in rectal cancer. Med. 5(10). 1293–1306.e4. 10 indexed citations
4.
5.
Liu, Yaqiong, Hongxia Gao, Tiantian Zheng, et al.. (2024). IKVAV functionalized oriented PCL/Fe3O4 scaffolds for magnetically modulating DRG growth behavior. Colloids and Surfaces B Biointerfaces. 239. 113967–113967. 5 indexed citations
6.
Meng, Cong, Lei Sha, Yan Yu, et al.. (2024). Promotive effect of skin precursor-derived Schwann cells on brachial plexus neurotomy and motor neuron damage repair through milieu-regulating secretome. Regenerative Therapy. 27. 365–380. 3 indexed citations
7.
8.
Meng, Cong, et al.. (2023). Management and prediction of immune-related adverse events for PD1/PDL-1 immunotherapy in colorectal cancer. Frontiers in Pharmacology. 14. 1167670–1167670. 4 indexed citations
9.
Luo, Qun, et al.. (2023). Mechanism of Fe removal by Sn addition in Al-7Si-1Fe alloy. Journal of Alloys and Compounds. 948. 169724–169724. 23 indexed citations
10.
Wang, Yueming, Cong Meng, Wenjin Wang, et al.. (2023). Spatio-temporally deciphering peripheral nerve regeneration in vivo after extracellular vesicle therapy under NIR-II fluorescence imaging. Nanoscale. 15(17). 7991–8005. 12 indexed citations
11.
Li, Haoze, Zhengyang Yang, Jiale Gao, et al.. (2022). Incidence and Risk Factors of Surgical Complications and Anastomotic Leakage After Transanal Total Mesorectal Excision for Middle and Low Rectal Cancer. Journal of Gastrointestinal Surgery. 27(2). 373–381. 3 indexed citations
12.
Li, Yuanyuan, Hua Zhang, Leilei Zhu, et al.. (2021). Pharmacokinetics-based comprehensive strategy to identify multiple effective components in Huangqi decoction against liver fibrosis. Phytomedicine. 84. 153513–153513. 29 indexed citations
13.
Yu, Miaomei, Cong Meng, Wei Wang, et al.. (2021). Repair of peripheral nerve defects by nerve grafts incorporated with extracellular vesicles from skin-derived precursor Schwann cells. Acta Biomaterialia. 134. 190–203. 64 indexed citations
14.
Ding, Fei, et al.. (2021). Peripheral nerve fibroblasts secrete neurotrophic factors to promote axon growth of motoneurons. Neural Regeneration Research. 17(8). 1833–1833. 11 indexed citations
15.
Sawant, Onkar B., Cong Meng, Guoyao Wu, & Shannon E. Washburn. (2020). Prenatal alcohol exposure and maternal glutamine supplementation alter the mTOR signaling pathway in ovine fetal cerebellum and skeletal muscle. Alcohol. 89. 93–102. 8 indexed citations
16.
Zhou, Youlang, et al.. (2018). Comparative transcriptomic profiling of peripheral efferent and afferent nerve fibres at different developmental stages in mice. Scientific Reports. 8(1). 11990–11990. 2 indexed citations
17.
Qiu, Yan‐Qun, Jie Li, Yundong Shen, et al.. (2018). Comparative effects of implanted electrodes with differing contact patterns on peripheral nerve regeneration and functional recovery. Neuroscience Research. 145. 22–29. 13 indexed citations
18.
Li, Bin, Cong Meng, Yanan Zhu, et al.. (2017). Indole-3-Carbinol Induces Apoptosis of Hepatic Stellate Cells through K63 De-Ubiquitination of RIP1 in Rats. Cellular Physiology and Biochemistry. 41(4). 1481–1490. 22 indexed citations
19.
Gong, Yanpei, et al.. (2016). Expression changes of nerve cell adhesion molecules L1 and semaphorin 3A after peripheral nerve injury. Neural Regeneration Research. 11(12). 2025–2025. 14 indexed citations
20.
Bousquet, Marina, Guoqing Zhuang, Cong Meng, et al.. (2013). miR-150 Blocks MLL-AF9–Associated Leukemia through Oncogene Repression. Molecular Cancer Research. 11(8). 912–922. 30 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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