Jingjin Dai

414 total citations
13 papers, 327 citations indexed

About

Jingjin Dai is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Jingjin Dai has authored 13 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Rheumatology and 4 papers in Cancer Research. Recurrent topics in Jingjin Dai's work include Extracellular vesicles in disease (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Bone Tissue Engineering Materials (3 papers). Jingjin Dai is often cited by papers focused on Extracellular vesicles in disease (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Bone Tissue Engineering Materials (3 papers). Jingjin Dai collaborates with scholars based in China and United States. Jingjin Dai's co-authors include Shiwu Dong, Yun Bai, Xiaoshan Gong, Rui Dong, Fei Kang, Ce Dou, Mengmeng Liang, Chunrong Zhao, Jian‐Mei Li and Zhen Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Archives of Biochemistry and Biophysics.

In The Last Decade

Jingjin Dai

12 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingjin Dai China 10 184 100 69 64 51 13 327
Xiaoshan Gong China 11 215 1.2× 123 1.2× 40 0.6× 75 1.2× 79 1.5× 17 348
Xiangguo Che South Korea 11 231 1.3× 80 0.8× 37 0.5× 82 1.3× 82 1.6× 37 417
Huajian Shan China 12 219 1.2× 100 1.0× 123 1.8× 34 0.5× 86 1.7× 23 487
Maya Fakhry Lebanon 5 177 1.0× 77 0.8× 52 0.8× 48 0.8× 59 1.2× 6 354
Junxing Ye China 10 187 1.0× 101 1.0× 36 0.5× 43 0.7× 28 0.5× 25 400
Simona Bolamperti Italy 8 208 1.1× 48 0.5× 67 1.0× 80 1.3× 32 0.6× 16 429
Jiarui Cui China 10 151 0.8× 46 0.5× 41 0.6× 39 0.6× 96 1.9× 19 329
Mi Nam Lee South Korea 10 152 0.8× 32 0.3× 83 1.2× 42 0.7× 37 0.7× 13 341

Countries citing papers authored by Jingjin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jingjin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jingjin Dai. A scholar is included among the top collaborators of Jingjin Dai 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 Jingjin Dai. Jingjin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Zeng, Fanchun, et al.. (2025). Strontium-loaded multifunctional gelatin methacryloyl hydrogels for type-H vascularized bone regeneration under osteoporotic conditions. Materials Today Bio. 32. 101909–101909. 3 indexed citations
2.
3.
Gong, Xiaoshan, et al.. (2024). Biomimetic Nanomaterials for Osteoarthritis Treatment: Targeting Cartilage, Subchondral Bone, and Synovium. SHILAP Revista de lepidopterología. 4(12). 3 indexed citations
4.
Dai, Jingjin, Zhaoyang Hu, Fanchun Zeng, et al.. (2023). Osteoclast-derived exosomal miR-212-3p suppressed the anabolism and accelerated the catabolism of chondrocytes in osteoarthritis by targeting TGF-β1/Smad2 signaling. Archives of Biochemistry and Biophysics. 751. 109827–109827. 10 indexed citations
5.
Tang, Hao, Xiaoshan Gong, Jingjin Dai, et al.. (2023). The IRF1/GBP5 axis promotes osteoarthritis progression by activating chondrocyte pyroptosis. Journal of Orthopaedic Translation. 44. 47–59. 18 indexed citations
6.
Hu, Junxian, et al.. (2022). Hexapeptide induces M2 macrophage polarization via the JAK1/STAT6 pathway to promote angiogenesis in bone repair. Experimental Cell Research. 413(1). 113064–113064. 25 indexed citations
7.
Bai, Yun, Xiaoshan Gong, Rui Dong, et al.. (2020). Long non-coding RNA HCAR promotes endochondral bone repair by upregulating VEGF and MMP13 in hypertrophic chondrocyte through sponging miR-15b-5p. Genes & Diseases. 9(2). 456–465. 11 indexed citations
8.
Dong, Rui, Yun Bai, Jingjin Dai, et al.. (2020). Engineered scaffolds based on mesenchymal stem cells/preosteoclasts extracellular matrix promote bone regeneration. Journal of Tissue Engineering. 11. 2752656326–2752656326. 41 indexed citations
9.
Dai, Jingjin, Rui Dong, Jian‐Mei Li, et al.. (2020). Osteoclast-derived exosomal let-7a-5p targets Smad2 to promote the hypertrophic differentiation of chondrocytes. American Journal of Physiology-Cell Physiology. 319(1). C21–C33. 30 indexed citations
10.
Liang, Mengmeng, Qinyu Ma, Ning Ding, et al.. (2019). IL-11 is essential in promoting osteolysis in breast cancer bone metastasis via RANKL-independent activation of osteoclastogenesis. Cell Death and Disease. 10(5). 353–353. 76 indexed citations
11.
12.
Liu, Chuan, Zhen Cao, Yun Bai, et al.. (2018). LncRNA AK077216 promotes RANKL‐induced osteoclastogenesis and bone resorption via NFATc1 by inhibition of NIP45. Journal of Cellular Physiology. 234(2). 1606–1617. 48 indexed citations
13.

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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2026