Yuhua Lu

1.6k total citations
47 papers, 1.2k citations indexed

About

Yuhua Lu is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Yuhua Lu has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 21 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Yuhua Lu's work include Pancreatic function and diabetes (22 papers), Tissue Engineering and Regenerative Medicine (13 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). Yuhua Lu is often cited by papers focused on Pancreatic function and diabetes (22 papers), Tissue Engineering and Regenerative Medicine (13 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). Yuhua Lu collaborates with scholars based in China, United States and Germany. Yuhua Lu's co-authors include Zhiwei Wang, Yan Huang, Yibing Guo, Shajun Zhu, Mingyan Zhu, Pengcheng Zhou, Xiaohong Li, Qingsong Guo, Xiangjun Fan and Jingjing Lu and has published in prestigious journals such as Biomaterials, Scientific Reports and Acta Biomaterialia.

In The Last Decade

Yuhua Lu

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhua Lu China 21 576 501 302 218 217 47 1.2k
Kevin E. Cordero United States 9 387 0.7× 538 1.1× 130 0.4× 133 0.6× 404 1.9× 12 1.1k
Diane Peluso Canada 6 547 0.9× 665 1.3× 421 1.4× 240 1.1× 119 0.5× 8 2.3k
Simone Pacini Italy 19 442 0.8× 250 0.5× 137 0.5× 232 1.1× 78 0.4× 63 1.2k
Kevin E. Fisher United States 17 535 0.9× 172 0.3× 185 0.6× 282 1.3× 56 0.3× 47 1.1k
Xiaomeng Hu United States 13 627 1.1× 344 0.7× 68 0.2× 348 1.6× 53 0.2× 34 1.2k
Meredith Millay United States 8 778 1.4× 294 0.6× 323 1.1× 85 0.4× 114 0.5× 9 1.0k
Jonathan A. R. Gordon United States 22 1.3k 2.3× 105 0.2× 620 2.1× 260 1.2× 107 0.5× 35 1.9k
Patrick van Vliet Netherlands 16 1.0k 1.8× 647 1.3× 300 1.0× 39 0.2× 239 1.1× 29 1.5k
Gaoping Chen Canada 18 822 1.4× 212 0.4× 232 0.8× 383 1.8× 91 0.4× 21 1.5k
Krzysztof M. Mrozik Australia 22 753 1.3× 387 0.8× 163 0.5× 231 1.1× 108 0.5× 34 1.7k

Countries citing papers authored by Yuhua Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yuhua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhua Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Lu. A scholar is included among the top collaborators of Yuhua Lu 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 Yuhua Lu. Yuhua Lu 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.
2.
Zhang, Xue, et al.. (2025). 3D printed GelMA/HAMA based mechanical microenvironment boosted PDAC chemoresistance via NRF2-repressed ferroptosis. Colloids and Surfaces B Biointerfaces. 254. 114816–114816.
3.
Wang, Zhen, et al.. (2025). 3D pancreatic ductal adenocarcinoma desmoplastic model: Glycolysis facilitating stemness via ITGAV-PI3K-AKT-YAP1. Biomaterials Advances. 170. 214215–214215. 3 indexed citations
4.
Wu, Di, Dongzhi Wang, Q Chen, et al.. (2024). Dual-crosslinking gelatin-hyaluronic acid methacrylate based biomimetic PDAC desmoplastic niche enhances tumor-associated macrophages recruitment and M2-like polarization. International Journal of Biological Macromolecules. 269(Pt 1). 131826–131826. 12 indexed citations
5.
Mao, Susu, Jian Wan, Lin Wang, et al.. (2024). LINC MIR503HG Controls SC‐β Cell Differentiation and Insulin Production by Targeting CDH1 and HES1. Advanced Science. 11(13). e2305631–e2305631. 6 indexed citations
6.
Zhang, Yufei, et al.. (2024). Efficient conversion of tea residue nutrients: Screening and proliferation of edible fungi. Current Research in Food Science. 9. 100907–100907. 2 indexed citations
7.
Song, Yao, Lei Wang, Kaidong Wang, Yuhua Lu, & Pengcheng Zhou. (2023). COL12A1 Acts as a Novel Prognosis Biomarker and Activates Cancer-Associated Fibroblasts in Pancreatic Cancer through Bioinformatics and Experimental Validation. Cancers. 15(5). 1480–1480. 8 indexed citations
8.
Guo, Qingsong, Dongzhi Wang, Shajun Zhu, et al.. (2023). Diagnosis and prognosis of pancreatic cancer with immunoglobulin heavy constant delta blood marker. Journal of Cancer Research and Clinical Oncology. 149(14). 12977–12992.
9.
Wang, Dongzhi, Yibing Guo, Jiacheng Zhu, et al.. (2022). Hyaluronic acid methacrylate/pancreatic extracellular matrix as a potential 3D printing bioink for constructing islet organoids. Acta Biomaterialia. 165. 86–101. 85 indexed citations
10.
Guo, Qingsong, Yuhua Lu, Yan Huang, et al.. (2021). Exosomes from β-Cells Promote Differentiation of Induced Pluripotent Stem Cells into Insulin-Producing Cells Through microRNA-Dependent Mechanisms. Diabetes Metabolic Syndrome and Obesity. Volume 14. 4767–4782. 11 indexed citations
11.
Wang, Lei, Peng Gao, Pengcheng Zhou, et al.. (2020). miR-573 suppresses pancreatic cancer cell proliferation, migration, and invasion through targeting TSPAN1. Strahlentherapie und Onkologie. 197(5). 438–448. 10 indexed citations
12.
Guo, Yibing, Saisai Chen, Yan Huang, et al.. (2019). Decellularized and solubilized pancreatic stroma promotes the in vitro proliferation, migration and differentiation of BMSCs into IPCs. Cell and Tissue Banking. 20(3). 389–401. 3 indexed citations
13.
Xu, Yang, Yan Huang, Yibing Guo, et al.. (2019). microRNA-690 regulates induced pluripotent stem cells (iPSCs) differentiation into insulin-producing cells by targeting Sox9. Stem Cell Research & Therapy. 10(1). 59–59. 28 indexed citations
14.
Chen, Jinpeng, Feiran Wang, Junfei Xu, et al.. (2016). The role of PAQR3 gene promoter hypermethylation in breast cancer and prognosis. Oncology Reports. 36(3). 1612–1618. 15 indexed citations
15.
Zhou, Pengcheng, Yibing Guo, Yan Huang, et al.. (2016). The dynamic three-dimensional culture of islet-like clusters in decellularized liver scaffolds. Cell and Tissue Research. 365(1). 157–171. 17 indexed citations
16.
Huang, Jianfei, Xiangjun Fan, Xudong Wang, et al.. (2015). High ROR2 expression in tumor cells and stroma is correlated with poor prognosis in pancreatic ductal adenocarcinoma. Scientific Reports. 5(1). 12991–12991. 37 indexed citations
17.
Wang, Lei, Yan Huang, Qingsong Guo, et al.. (2014). Differentiation of iPSCs into insulin-producing cells via adenoviral transfection of PDX-1, NeuroD1 and MafA. Diabetes Research and Clinical Practice. 104(3). 383–392. 22 indexed citations
18.
Lu, Yuhua, Hui Zhu, Haiyan Shan, et al.. (2013). Knockdown of Oct4 and Nanog expression inhibits the stemness of pancreatic cancer cells. Cancer Letters. 340(1). 113–123. 133 indexed citations
19.
20.
Zhu, Shajun, Yuhua Lu, Jianwei Zhu, et al.. (2009). Effects of Intrahepatic Bone-Derived Mesenchymal Stem Cells Autotransplantation on the Diabetic Beagle Dogs. Journal of Surgical Research. 168(2). 213–223. 20 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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