Qingsong Guo

638 total citations
26 papers, 490 citations indexed

About

Qingsong Guo is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Qingsong Guo has authored 26 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 13 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Qingsong Guo's work include Pancreatic function and diabetes (7 papers), Tissue Engineering and Regenerative Medicine (5 papers) and MicroRNA in disease regulation (4 papers). Qingsong Guo is often cited by papers focused on Pancreatic function and diabetes (7 papers), Tissue Engineering and Regenerative Medicine (5 papers) and MicroRNA in disease regulation (4 papers). Qingsong Guo collaborates with scholars based in China and United States. Qingsong Guo's co-authors include Yuhua Lu, Yan Huang, Shajun Zhu, Mingyan Zhu, Haixin Qian, Zhiwei Wang, Peng Wang, Jingjing Lu, Zhiwei Wang and Yao Wang and has published in prestigious journals such as PLoS ONE, Biomaterials and Molecules.

In The Last Decade

Qingsong Guo

24 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingsong Guo China 12 238 136 134 113 70 26 490
Jin Muk Kang South Korea 15 288 1.2× 112 0.8× 109 0.8× 134 1.2× 81 1.2× 30 562
Rodolfo Marchese Italy 13 200 0.8× 122 0.9× 108 0.8× 132 1.2× 43 0.6× 22 459
Young Mi Whang South Korea 16 381 1.6× 100 0.7× 153 1.1× 93 0.8× 38 0.5× 35 627
Chun-Ying Qu China 14 271 1.1× 62 0.5× 104 0.8× 152 1.3× 45 0.6× 25 563
Elena Yukie Yoshitoshi Japan 10 168 0.7× 162 1.2× 130 1.0× 73 0.6× 42 0.6× 17 495
Sakiko Sanada Japan 12 162 0.7× 125 0.9× 201 1.5× 103 0.9× 26 0.4× 29 501
Xu–Ting Zhi China 12 232 1.0× 135 1.0× 143 1.1× 189 1.7× 40 0.6× 31 543
Ru Ji China 9 275 1.2× 100 0.7× 185 1.4× 148 1.3× 41 0.6× 18 552

Countries citing papers authored by Qingsong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Qingsong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingsong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Qingsong Guo. A scholar is included among the top collaborators of Qingsong Guo 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 Qingsong Guo. Qingsong Guo 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.
Wan, Jian, Yang Xu, Xiaoxia Xue, et al.. (2025). AG73-GelMA/AlgMA hydrogels provide a stable microenvironment for the generation of pancreatic progenitor organoids. Journal of Nanobiotechnology. 23(1). 149–149. 2 indexed citations
2.
3.
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
4.
Wang, Lin, Jian Wan, Yang Xu, et al.. (2024). Endothelial Cells Promote Pseudo-islet Function Through BTC-EGFR-JAK/STAT Signaling Pathways. Annals of Biomedical Engineering. 52(9). 2610–2626. 3 indexed citations
5.
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.
6.
Wang, Lei, Liang Zhang, Xuemei Cao, et al.. (2023). Synthesis and biological evaluation of novel quaternary ammonium antibody drug conjugates based on camptothecin derivatives. PLoS ONE. 18(12). e0292871–e0292871. 2 indexed citations
7.
Sheng, Xiaoming, Yang� Yang, Jiajia Liu, et al.. (2022). Down-regulation of miR-18b-5p protects against splenic hemorrhagic shock by directly targeting HIF-1α/iNOS pathway. Immunobiology. 227(2). 152188–152188. 7 indexed citations
8.
Luo, Jia, Weijie Gao, Chen Wang, et al.. (2022). A “Double-Locked” and Enzyme/pH-Activated Theranostic Agent for Accurate Tumor Imaging and Therapy. Molecules. 27(2). 425–425. 9 indexed citations
9.
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
10.
Sheng, Xiaoming, Yang� Yang, Jiajia Liu, et al.. (2021). Ophiopogonin A Alleviates Hemorrhagic Shock-Induced Renal Injury via Induction of Nrf2 Expression. Frontiers in Physiology. 11. 619740–619740. 11 indexed citations
11.
Wang, Dongzhi, et al.. (2020). Enhanced vascularization and biocompatibility of rat pancreatic decellularized scaffolds loaded with platelet-rich plasma. Journal of Biomaterials Applications. 35(3). 313–330. 11 indexed citations
12.
Sheng, Xiaoming, et al.. (2018). Experimental research on the effect of microRNA‑21 inhibitor on a rat model of intervertebral disc degeneration. Experimental and Therapeutic Medicine. 16(1). 67–72. 8 indexed citations
13.
Li, Hua, Li Zhao, Gang Li, et al.. (2017). Increased half-life and enhanced potency of Fc-modified human PCSK9 monoclonal antibodies in primates. PLoS ONE. 12(8). e0183326–e0183326. 14 indexed citations
14.
Huang, Yan, Jian Wan, Yibing Guo, et al.. (2017). Transcriptome Analysis of Induced Pluripotent Stem Cell (iPSC)-derived Pancreatic β-like Cell Differentiation. Cell Transplantation. 26(8). 1380–1391. 11 indexed citations
15.
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
16.
Lu, Yuhua, Jingjing Lu, Xiaohong Li, et al.. (2014). MiR-200a inhibits epithelial-mesenchymal transition of pancreatic cancer stem cell. BMC Cancer. 14(1). 85–85. 69 indexed citations
17.
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
18.
Wang, Peng, Zhiwei Wang, Haixin Qian, & Qingsong Guo. (2013). [Role of autophagy in HepG-2 cells induced by hepatitis B virus x protein].. PubMed. 93(44). 3556–8. 1 indexed citations
19.
Wang, Peng, Qingsong Guo, Zhiwei Wang, & Haixin Qian. (2012). HBx induces HepG-2 cells autophagy through PI3K/Akt–mTOR pathway. Molecular and Cellular Biochemistry. 372(1-2). 161–168. 63 indexed citations
20.
Wang, Lei, Mingyan Zhu, Qingsong Guo, et al.. (2012). Comparing the reprogramming efficiency of mouse embryonic fibroblasts, mouse bone marrow mesenchymal stem cells and bone marrow mononuclear cells to iPSCs. In Vitro Cellular & Developmental Biology - Animal. 48(4). 236–243. 4 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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