Jingjing Diao

912 total citations · 1 hit paper
19 papers, 793 citations indexed

About

Jingjing Diao is a scholar working on Biomedical Engineering, Surgery and Biomaterials. According to data from OpenAlex, Jingjing Diao has authored 19 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 7 papers in Surgery and 3 papers in Biomaterials. Recurrent topics in Jingjing Diao's work include Bone Tissue Engineering Materials (15 papers), Orthopaedic implants and arthroplasty (7 papers) and 3D Printing in Biomedical Research (5 papers). Jingjing Diao is often cited by papers focused on Bone Tissue Engineering Materials (15 papers), Orthopaedic implants and arthroplasty (7 papers) and 3D Printing in Biomedical Research (5 papers). Jingjing Diao collaborates with scholars based in China, United Kingdom and Thailand. Jingjing Diao's co-authors include Lijing Hao, Yudi Kuang, Gang Chen, Penghui Zhu, Naru Zhao, Yingjun Wang, Mengli Zhang, Yangyang Qian, Yazeng Zhang and Fang Li and has published in prestigious journals such as Advanced Functional Materials, ACS Applied Materials & Interfaces and RSC Advances.

In The Last Decade

Jingjing Diao

18 papers receiving 785 citations

Hit Papers

MXene‐Based Conductive Or... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MXene‐Based Conductive Organohydrogels with Long‐Term Environmental Stability and Multifunctionality
    2020 300 citations Yuan Wei, Lijing Xiang et al. Advanced Functional Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingjing Diao China 11 670 170 150 106 104 19 793
Jingjing Wu China 13 522 0.8× 73 0.4× 235 1.6× 181 1.7× 105 1.0× 25 824
Kausik Kapat India 13 624 0.9× 74 0.4× 203 1.4× 41 0.4× 180 1.7× 21 879
Renata Guimarães Ribas Brazil 13 518 0.8× 78 0.5× 160 1.1× 83 0.8× 166 1.6× 19 746
Peter Newman Australia 9 577 0.9× 49 0.3× 132 0.9× 131 1.2× 263 2.5× 16 880
Yubin Feng China 12 621 0.9× 203 1.2× 298 2.0× 54 0.5× 119 1.1× 15 1.1k
Guangda Li China 15 478 0.7× 73 0.4× 128 0.9× 56 0.5× 238 2.3× 43 737
Ali Samadi Iran 15 474 0.7× 199 1.2× 355 2.4× 56 0.5× 113 1.1× 23 943
Anna Ivanova Russia 9 506 0.8× 149 0.9× 169 1.1× 94 0.9× 141 1.4× 13 671

Countries citing papers authored by Jingjing Diao

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Diao

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

All Works

19 of 19 papers shown
1.
Yang, Yan, et al.. (2025). Sequentially regulated immuno-osteogenic bioceramics enhance the regeneration of osteoporotic bone defects. Materials Today Bio. 35. 102401–102401.
2.
Liu, Lisheng, et al.. (2025). 3D printed multi-elemental bioceramics induces favorable osteoimmunomodulation for osteogenesis. Ceramics International. 51(17). 23925–23936. 1 indexed citations
3.
Cheng, Kai, et al.. (2024). Personalizing β-TCP porous scaffolds to promote osteogenesis: a study of segmental femoral defects in beagle models. Biomedical Materials. 20(1). 15023–15023. 3 indexed citations
4.
Diao, Jingjing, Yan Yang, Yudi Kuang, et al.. (2023). 3D printed pore morphology mediates bone marrow stem cell behaviors via RhoA/ROCK2 signaling pathway for accelerating bone regeneration. Bioactive Materials. 26. 413–424. 30 indexed citations
5.
Liu, Junjie, et al.. (2023). Beta-TCP scaffolds with rationally designed macro-micro hierarchical structure improved angio/osteo-genesis capability for bone regeneration. Journal of Materials Science Materials in Medicine. 34(7). 36–36. 9 indexed citations
6.
7.
Liu, Xiao, Yali Miao, Haifeng Liang, et al.. (2021). 3D-printed bioactive ceramic scaffolds with biomimetic micro/nano-HAp surfaces mediated cell fate and promoted bone augmentation of the bone–implant interface in vivo. Bioactive Materials. 12. 120–132. 63 indexed citations
8.
Liu, Junjie, et al.. (2021). Hierarchically porous calcium–silicon nanosphere-enabled co-delivery of microRNA-210 and simvastatin for bone regeneration. Journal of Materials Chemistry B. 9(16). 3573–3583. 20 indexed citations
9.
Zhu, Penghui, et al.. (2020). Cellulose Nanofiber/Carbon Nanotube Dual Network-Enabled Humidity Sensor with High Sensitivity and Durability. ACS Applied Materials & Interfaces. 12(29). 33229–33238. 131 indexed citations
10.
Wei, Yuan, Lijing Xiang, Fang Li, et al.. (2020). MXene‐Based Conductive Organohydrogels with Long‐Term Environmental Stability and Multifunctionality. Advanced Functional Materials. 30(48). 300 indexed citations breakdown →
11.
Diao, Jingjing, Xiaoling Fu, Tianjie Li, et al.. (2019). Bone Defect Model Dependent Optimal Pore Sizes of 3D‐Plotted Beta‐Tricalcium Phosphate Scaffolds for Bone Regeneration. Small Methods. 3(11). 41 indexed citations
12.
Miao, Yali, Yunhua Chen, Xiao Liu, et al.. (2019). Melatonin decorated 3D-printed beta-tricalcium phosphate scaffolds promoting bone regeneration in a rat calvarial defect model. Journal of Materials Chemistry B. 7(20). 3250–3259. 19 indexed citations
13.
14.
Diao, Jingjing, Jun Ouyang, Ting Deng, et al.. (2018). 3D‐Plotted Beta‐Tricalcium Phosphate Scaffolds with Smaller Pore Sizes Improve In Vivo Bone Regeneration and Biomechanical Properties in a Critical‐Sized Calvarial Defect Rat Model. Advanced Healthcare Materials. 7(17). e1800441–e1800441. 92 indexed citations
15.
Gao, Huichang, Xiao Liu, Jingjing Diao, et al.. (2017). Porous Li-containing biphasic calcium phosphate scaffolds fabricated by three-dimensional plotting for bone repair. RSC Advances. 7(55). 34508–34516. 9 indexed citations
16.
Liu, Xiao, et al.. (2017). The effects of dissociated rods and rod-surfaced microspheres on bone mesenchymal stem cellular viability. RSC Advances. 7(25). 15284–15292. 2 indexed citations
17.
Zhao, Naru, Xiaoling Fu, Jingjing Diao, et al.. (2016). Enhanced osteogenic differentiation and biomineralization in mouse mesenchymal stromal cells on a β-TCP robocast scaffold modified with collagen nanofibers. RSC Advances. 6(28). 23588–23598. 14 indexed citations
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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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