Junjin Li

776 total citations · 2 hit papers
23 papers, 549 citations indexed

About

Junjin Li is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Junjin Li has authored 23 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Immunology. Recurrent topics in Junjin Li's work include Spinal Cord Injury Research (5 papers), Nerve injury and regeneration (4 papers) and Reproductive Biology and Fertility (3 papers). Junjin Li is often cited by papers focused on Spinal Cord Injury Research (5 papers), Nerve injury and regeneration (4 papers) and Reproductive Biology and Fertility (3 papers). Junjin Li collaborates with scholars based in China and United Kingdom. Junjin Li's co-authors include Zhijian Wei, Shiqing Feng, Shiqing Feng, Jie Ren, Xiaojun Wu, Junjie Li, Hong Zhang, Fanglian Yao, Mengmeng Yao and Zhuojun Yan and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and ACS Nano.

In The Last Decade

Junjin Li

18 papers receiving 547 citations

Hit Papers

Microgel reinforced zwitterionic hydrogel coating for blo... 2022 2026 2023 2024 2022 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjin Li China 10 200 101 100 80 74 23 549
Shuang Zheng China 13 102 0.5× 201 2.0× 59 0.6× 46 0.6× 68 0.9× 26 566
Qichen Zhang China 12 215 1.1× 209 2.1× 62 0.6× 51 0.6× 17 0.2× 45 747
Jingwen Zhao China 14 128 0.6× 242 2.4× 34 0.3× 40 0.5× 42 0.6× 42 652
Weiwei Yi China 13 129 0.6× 261 2.6× 101 1.0× 21 0.3× 20 0.3× 24 644
Daxin Wang China 14 147 0.7× 83 0.8× 36 0.4× 17 0.2× 25 0.3× 25 528
Mina Mekhail Canada 12 65 0.3× 196 1.9× 71 0.7× 31 0.4× 53 0.7× 13 547
Yansong Wang China 11 133 0.7× 95 0.9× 78 0.8× 12 0.1× 68 0.9× 27 408
Dipankar Dutta United States 8 137 0.7× 100 1.0× 50 0.5× 13 0.2× 28 0.4× 9 366
Fancheng Chen China 10 79 0.4× 102 1.0× 32 0.3× 20 0.3× 29 0.4× 24 466
Christopher Pritchard United States 7 97 0.5× 117 1.2× 120 1.2× 21 0.3× 147 2.0× 18 491

Countries citing papers authored by Junjin Li

Since Specialization
Citations

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

Fields of papers citing papers by Junjin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Junjin Li. A scholar is included among the top collaborators of Junjin 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 Junjin Li. Junjin 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.
Li, Jinghui, Kehan Liu, Junjin Li, et al.. (2025). Donkey-Hide Gelatin-Derived Carbon Dots Activate Erythropoiesis and Eliminate Oxidative Stress for Aplastic Anemia Treatment. ACS Nano. 19(2). 2922–2935. 6 indexed citations
3.
Fan, Baoyou, Xiang Gao, Xiaoyang Chen, et al.. (2025). Targeted delivery of the GPX4 activator via HUCMSC-derived exosomes inhibits ferroptosis in spinal cord injury. Journal of Nanobiotechnology. 23(1). 707–707.
4.
Wang, Hongda, Junjin Li, Jie Ren, et al.. (2025). Engineering injectable composite scaffolds for enhanced bone healing: Integration of stem cells, hydrogels, and microspheres. Chemical Engineering Journal. 507. 160593–160593. 2 indexed citations
6.
Li, Junjin, et al.. (2024). Senescence- and Immunity-Related Changes in the Central Nervous System: A Comprehensive Review. Aging and Disease. 16(4). 2177–2177. 1 indexed citations
7.
Li, Junjin, Hongda Wang, Yilin Pang, et al.. (2024). Novel carbon dots with dual Modulatory effects on the bone marrow and spleen as a potential therapeutic candidate for treating spinal cord injury. Bioactive Materials. 45. 534–550. 3 indexed citations
8.
Zhang, Luyao, et al.. (2023). Growth hormone treatment improves the development of follicles and oocytes in prepubertal lambs. Journal of Ovarian Research. 16(1). 132–132. 9 indexed citations
9.
Li, Chuanhao, Wenyuan Shen, Chao Li, et al.. (2023). The discovery of the new mechanism: Celastrol improves spinal cord injury by increasing cAMP through VIP-ADCYAP1R1-GNAS pathway. Biomedicine & Pharmacotherapy. 165. 115250–115250. 5 indexed citations
10.
Ren, Jie, Bin Zhu, Wencan Zhang, et al.. (2023). Schwann cell-derived exosomes containing MFG-E8 modify macrophage/microglial polarization for attenuating inflammation via the SOCS3/STAT3 pathway after spinal cord injury. Cell Death and Disease. 14(1). 70–70. 109 indexed citations breakdown →
11.
Li, Junjin, Hongda Wang, Jie Ren, et al.. (2023). Human umbilical cord mesenchymal stem cell-derived exosomes loaded into a composite conduit promote functional recovery after peripheral nerve injury in rats. Neural Regeneration Research. 19(4). 900–907. 21 indexed citations
12.
Zhu, Bin, Jie Ren, Junjin Li, et al.. (2023). Schwann Cell-Derived Exosomes and Methylprednisolone Composite Patch for Spinal Cord Injury Repair. ACS Nano. 17(22). 22928–22943. 53 indexed citations
13.
Zhu, Bin, Jie Ren, Baoyou Fan, et al.. (2023). Ang-(1–7)/MasR axis promotes functional recovery after spinal cord injury by regulating microglia/macrophage polarization. Cell & Bioscience. 13(1). 23–23. 22 indexed citations
14.
Yao, Mengmeng, Zhijian Wei, Junjin Li, et al.. (2022). Microgel reinforced zwitterionic hydrogel coating for blood-contacting biomedical devices. Nature Communications. 13(1). 5339–5339. 210 indexed citations breakdown →
15.
Wei, Zhijian, Shiqing Feng, Jinze Li, et al.. (2022). Bioinformatics analysis of ferroptosis in spinal cord injury. Neural Regeneration Research. 18(3). 626–626. 36 indexed citations
16.
Li, Junjin, et al.. (2022). Molecular chaperone GroEL-GroES enhances the soluble expression of biologically active ovine growth hormone in the prokaryotic system. Protein Expression and Purification. 195-196. 106097–106097. 8 indexed citations
17.
Sun, Yingjie, Ji Liu, Junjin Li, et al.. (2022). A Conformational Restriction Strategy for the Control of CRISPR/Cas Gene Editing with Photoactivatable Guide RNAs**. Angewandte Chemie. 135(5). 9 indexed citations
18.
Ding, Han, Ang Li, Chao Sun, et al.. (2022). Quantitative iTRAQ proteomics reveal the proteome profiles of bone marrow mesenchymal stem cells after cocultures with Schwann cells in vitro. Annals of Translational Medicine. 10(18). 962–962. 3 indexed citations
19.
Feng, Shiqing, et al.. (2021). Application value of biofluid-based biomarkers for the diagnosis and treatment of spinal cord injury. Neural Regeneration Research. 17(5). 963–963. 7 indexed citations
20.
Lin, Meng, et al.. (2021). Mitochondrial Calcium uniporters are essential for meiotic progression in mouse oocytes by controlling Ca2+ entry. Cell Proliferation. 54(11). e13127–e13127. 13 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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