Chengjun Li

1.6k total citations
63 papers, 1.2k citations indexed

About

Chengjun Li is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chengjun Li has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 19 papers in Pathology and Forensic Medicine and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chengjun Li's work include Spinal Cord Injury Research (16 papers), Extracellular vesicles in disease (14 papers) and MicroRNA in disease regulation (6 papers). Chengjun Li is often cited by papers focused on Spinal Cord Injury Research (16 papers), Extracellular vesicles in disease (14 papers) and MicroRNA in disease regulation (6 papers). Chengjun Li collaborates with scholars based in China, Canada and United States. Chengjun Li's co-authors include Yong Cao, Jianzhong Hu, Hongbin Lü, Liyuan Jiang, Chunyue Duan, Shawn S.‐C. Li, Tian Qin, Zhu Guo, Jinyun Zhao and David H. Gutmann and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Scientific Reports.

In The Last Decade

Chengjun Li

59 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengjun Li China 19 639 316 179 168 132 63 1.2k
Linwei Li China 20 1.1k 1.7× 444 1.4× 133 0.7× 371 2.2× 131 1.0× 37 1.7k
Nicolò Panini Italy 15 373 0.6× 202 0.6× 138 0.8× 78 0.5× 89 0.7× 33 1.0k
Maddalena Ruggieri Italy 21 501 0.8× 468 1.5× 228 1.3× 196 1.2× 49 0.4× 55 1.4k
Jianmin Zhang China 20 559 0.9× 100 0.3× 68 0.4× 242 1.4× 57 0.4× 55 1.2k
Jinzhao Wang United States 16 570 0.9× 137 0.4× 77 0.4× 76 0.5× 220 1.7× 34 1.1k
Lijun Zhou China 15 409 0.6× 182 0.6× 88 0.5× 95 0.6× 82 0.6× 37 1.0k
Yanyan Jiang United Kingdom 20 728 1.1× 163 0.5× 206 1.2× 154 0.9× 49 0.4× 29 1.5k
Christopher B. Jackson Finland 23 1.3k 2.0× 84 0.3× 180 1.0× 123 0.7× 151 1.1× 53 1.9k
Teng-Leong Chew United States 19 656 1.0× 146 0.5× 82 0.5× 102 0.6× 172 1.3× 25 1.3k
Helena S. Domingues Portugal 13 329 0.5× 315 1.0× 406 2.3× 72 0.4× 42 0.3× 17 1.2k

Countries citing papers authored by Chengjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Chengjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjun Li. A scholar is included among the top collaborators of Chengjun Li 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 Chengjun Li. Chengjun Li 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.
Qin, Yiming, Tianding Wu, Chunyue Duan, et al.. (2025). Hypoxic Neural Stem Cells Enhance Spinal Cord Repair Through HIF‐1a/RAB17‐Driven Extracellular Vesicle Release. Journal of Extracellular Vesicles. 14(7). e70126–e70126.
3.
Du, Weili, Chengjun Li, Huimin Li, et al.. (2024). Evaluation of droplet digital polymerase chain reaction by detecting cell-free deoxyribonucleic acid in pleural effusion for the diagnosis of tuberculous pleurisy: a multicentre cohort study. Clinical Microbiology and Infection. 30(9). 1164–1169. 3 indexed citations
4.
Xu, Jiaqi, Chaoran Shi, Chengjun Li, et al.. (2024). Endothelial Foxo1 Phosphorylation Inhibition via Aptamer‐Liposome Alleviates OPN‐Induced Pathological Vascular Remodeling Following Spinal Cord Injury. Advanced Science. 11(43). e2406398–e2406398. 4 indexed citations
5.
Peng, Wei, Yong Xie, Zixiang Luo, et al.. (2023). UTX deletion promotes M2 macrophage polarization by epigenetically regulating endothelial cell-macrophage crosstalk after spinal cord injury. Journal of Nanobiotechnology. 21(1). 225–225. 15 indexed citations
6.
Zhao, Jinyun, Chengjun Li, Tian Qin, et al.. (2023). Mechanical overloading-induced miR-325-3p reduction promoted chondrocyte senescence and exacerbated facet joint degeneration. Arthritis Research & Therapy. 25(1). 54–54. 15 indexed citations
7.
Li, Chengjun, et al.. (2023). Cerebrospinal fluid-derived extracellular vesicles after spinal cord injury promote vascular regeneration via PI3K/AKT signaling pathway. Journal of Orthopaedic Translation. 39. 124–134. 24 indexed citations
8.
Peng, Wei, Yong Xie, Yudong Liu, et al.. (2023). Targeted delivery of CD163+ macrophage-derived small extracellular vesicles via RGD peptides promote vascular regeneration and stabilization after spinal cord injury. Journal of Controlled Release. 361. 750–765. 20 indexed citations
9.
Li, Chengjun, Yan Xu, Yiming Qin, et al.. (2023). Local delivery of EGFR+NSCs-derived exosomes promotes neural regeneration post spinal cord injury via miR-34a-5p/HDAC6 pathway. Bioactive Materials. 33. 424–443. 32 indexed citations
10.
Li, Chengjun, Tian Qin, Jinyun Zhao, et al.. (2021). Bone Marrow Mesenchymal Stem Cell-Derived Exosome-Educated Macrophages Promote Functional Healing After Spinal Cord Injury. Frontiers in Cellular Neuroscience. 15. 725573–725573. 23 indexed citations
11.
Liu, Hong‐Min, et al.. (2021). Identification and Characterization of an Antennae-Specific Glutathione S-Transferase From the Indian Meal Moth. Frontiers in Physiology. 12. 727619–727619. 14 indexed citations
12.
Jiang, Liyuan, Yong Cao, Xianzhen Yin, et al.. (2021). A combinatorial method to visualize the neuronal network in the mouse spinal cord: combination of a modified Golgi-Cox method and synchrotron radiation micro-computed tomography. Histochemistry and Cell Biology. 155(4). 477–489. 5 indexed citations
13.
Rong, Zijie, Yong Cao, Liyuan Jiang, et al.. (2020). Utx Regulates the NF-κB Signaling Pathway of Natural Stem Cells to Modulate Macrophage Migration during Spinal Cord Injury. Journal of Neurotrauma. 38(3). 353–364. 13 indexed citations
14.
Zhang, Ciliu, Chengliang Zhang, Yan Xu, et al.. (2020). Exosomes derived from human placenta-derived mesenchymal stem cells improve neurologic function by promoting angiogenesis after spinal cord injury. Neuroscience Letters. 739. 135399–135399. 61 indexed citations
15.
Zhu, Kun, Bo Yuan, Ming Hu, et al.. (2018). Ablation of aberrant neurogenesis fails to attenuate cognitive deficit of chronically epileptic mice. Epilepsy Research. 142. 1–8. 12 indexed citations
16.
Li, Chengjun, et al.. (2016). Advances in Bone‐targeted Drug Delivery Systems for Neoadjuvant Chemotherapy for Osteosarcoma. Orthopaedic Surgery. 8(2). 105–110. 41 indexed citations
17.
Liu, Shi, Li Sun, Chengchong Li, et al.. (2016). (−)-Epigallocatechin-3-gallate induces apoptosis in human pancreatic cancer cells via PTEN. Molecular Medicine Reports. 14(1). 599–605. 31 indexed citations
18.
19.
Wu, Sujia, et al.. (2012). Composite Reconstruction of the Hip Following Resection of Periacetabular Tumors. The Journal of Arthroplasty. 28(3). 537–542. 6 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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